Carbofuran; Final Tolerance Revocations, 23046-23095 [E9-11396]
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Federal Register / Vol. 74, No. 93 / Friday, May 15, 2009 / Rules and Regulations
ENVIRONMENTAL PROTECTION
AGENCY
40 CFR Part 180
[EPA–HQ–OPP–2005–0162; FRL–8413–3]
Carbofuran; Final Tolerance
Revocations
AGENCY: Environmental Protection
Agency (EPA).
ACTION: Final rule.
SUMMARY: EPA is revoking all tolerances
for carbofuran. The Agency has
determined that the risk from aggregate
exposure from the use of carbofuran
does not meet the safety standard of
section 408(b)(2) of the Federal Food,
Drug, and Cosmetic Act (FFDCA).
DATES: This final rule is effective August
13, 2009. Written objections, requests
for a hearing, or requests for a stay
identified by the docket identification
(ID) number EPA–HQ–OPP–2005–0162
must be received on or before July 14,
2009, and must be filed in accordance
with the instructions provided in 40
CFR part 178 (see also Unit I.C. of the
SUPPLEMENTARY INFORMATION).
ADDRESSES: Written objections and
hearing requests, identified by the
docket ID number EPA–HQ–OPP–2005–
0162, may be submitted to the Hearing
Clerk by one of the following methods:
• Mail: U.S. EPA Office of the
Hearing Clerk, Mailcode 1900 L, 1200
Pennsylvania Ave., NW., Washington,
DC 20460–0001.
• Delivery: U.S. EPA Office of the
Hearing Clerk, 1099 14th St., NW., Suite
350, Franklin Court, Washington, DC
20005. Deliveries are only accepted
during the Office’s normal hours of
operation (8:30 a.m. to 4 p.m., Monday
through Friday, excluding legal
holidays). Special arrangements should
be made for deliveries of boxed
information. The Office’s telephone
number is (202) 564–6262.
In addition to filing an objection or
hearing request with the Hearing Clerk
as described in 40 CFR part 178, please
submit a copy of the filing that does not
contain any CBI for inclusion in the
public docket that is described in
ADDRESSES. Information not marked
confidential pursuant to 40 CFR part 2
may be disclosed publicly by EPA
without prior notice. Submit this copy,
identified by docket ID number EPA–
HQ–OPP–2005–0162, by one of the
following methods:
• Federal eRulemaking Portal: https://
www.regulations.gov. Follow the on-line
instructions for submitting comments.
• Mail: Office of Pesticide Programs
(OPP) Regulatory Public Docket (7502P),
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Environmental Protection Agency, 1200
Pennsylvania Ave., NW., Washington,
DC 20460–0001.
• Delivery: OPP Regulatory Public
Docket (7502P), Environmental
Protection Agency, Rm. S-4400, One
Potomac Yard (South Bldg.), 2777 S.
Crystal Dr., Arlington, VA. Deliveries
are only accepted during the Docket’s
normal hours of operation (8:30 a.m. to
4 p.m., Monday through Friday,
excluding legal holidays). Special
arrangements should be made for
deliveries of boxed information. The
Docket Facility telephone number is
(703) 305–5805.
Docket: All documents in the docket
are listed in the docket index. Although
listed in the index, some information is
not publicly available, e.g., CBI or other
information whose disclosure is
restricted by statute. Certain other
material, such as copyrighted material,
is not placed on the Internet and will be
publicly available only in hard copy
form. Publicly available docket
materials are available in the electronic
docket at https://www.regulations.gov,
or, if only available in hard copy, at the
OPP Regulatory Public Docket in Rm. S–
4400, One Potomac Yard (South Bldg.),
2777 S. Crystal Dr., Arlington, VA. The
Docket Facility is open from 8:30 a.m.
to 4 p.m., Monday through Friday,
excluding legal holidays. The Docket
Facility telephone number is (703) 305–
5805.
Submitting CBI. Do not submit this
information to EPA through
regulations.gov or e-mail. Clearly mark
the part or all of the information that
you claim to be CBI. For CBI
information in a disk or CD-ROM that
you mail to EPA, mark the outside of the
disk or CD-ROM as CBI and then
identify electronically within the disk or
CD-ROM the specific information that is
claimed as CBI. In addition to one
complete version of the objection that
includes information claimed as CBI, a
copy of the objection that does not
contain the information claimed as CBI
must be submitted for inclusion in the
public docket. Information so marked
will not be disclosed except in
accordance with procedures set forth in
40 CFR part 2.
FOR FURTHER INFORMATION CONTACT: Jude
Andreasen, Special Review and
Reregistration Division (7508P), Office
of Pesticide Programs, Environmental
Protection Agency, 1200 Pennsylvania
Ave, NW., Washington, DC 20460–0001;
telephone number: (703) 308–9342; email address: andreasen.jude@epa.gov.
SUPPLEMENTARY INFORMATION:
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I. General Information
A. Does This Action Apply to Me?
You may be potentially affected by
this action if you are an agricultural
producer, food manufacturer, or
pesticide manufacturer. Potentially
affected entities may include, but are
not limited to:
• Crop production (NAICS code 111).
• Animal production (NAICS code
112).
• Food manufacturing (NAICS code
311).
• Pesticide manufacturing (NAICS
code 32532).
This listing is not intended to be
exhaustive, but rather provides a guide
for readers regarding entities likely to be
affected by this action. Other types of
entities not listed in this unit could also
be affected. The North American
Industrial Classification System
(NAICS) codes have been provided to
assist you and others in determining
whether this action might apply to
certain entities. To determine whether
you or your business may be affected by
this action, you should carefully
examine the applicability provisions in
Unit II.A. If you have any questions
regarding the applicability of this action
to a particular entity, consult the person
listed under FOR FURTHER INFORMATION
CONTACT.
B. How Can I Access Electronic Copies
of This Document?
In addition to accessing an electronic
copy of this Federal Register document
through the electronic docket at https://
www.regulations.gov, you may access
this Federal Register document
electronically through the EPA Internet
under the ‘‘Federal Register’’ listings at
https://www.epa.gov/fedrgstr. You may
also access a frequently updated
electronic version of EPA’s tolerance
regulations at 40 CFR part 180 through
the Government Printing Office’s pilot
e-CFR site at https://www.gpoaccess.gov/
ecfr.
C. What Can I Do if I Wish the Agency
To Maintain a Tolerance That the
Agency Has Revoked?
Any affected party has 60 days from
the date of publication of this order to
file objections to any aspect of this order
with EPA and to request an evidentiary
hearing on those objections (21 U.S.C.
346a(g)(2)). A person may raise
objections without requesting a hearing.
The objections submitted must
specify the provisions of the regulation
deemed objectionable and the grounds
for the objection (40 CFR 178.25). Each
objection must be accompanied by the
fee prescribed by 40 CFR 180.33(i). If a
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hearing is requested, the objections
must include a statement of the factual
issue(s) on which a hearing is requested,
the requestor’s contentions on such
issues, and a summary of any evidence
relied upon by the objector (40 CFR
178.27).
Although any person may file an
objection, the substance of the objection
must have been initially raised as an
issue in comments on the proposed rule.
As explained in the July 31, 2008
proposed rule (73 FR 44864) (FRL–
8378–8), EPA will treat as waived any
issue not originally raised in timely
submitted comments. Accordingly, EPA
will not consider any legal or factual
issue presented in objections that was
not presented by a commenter in
response to the proposed rule, if that
issue could reasonably have been raised
at the time of the proposal.
Similarly, if you fail to file an
objection to an issue resolved in the
final rule within the time period
specified, you will have waived the
right to challenge the final rule’s
resolution of that issue (40 CFR
178.30(a)). After the specified time,
issues resolved in the final rule cannot
be raised again in any subsequent
proceedings on this rule. See Nader v
EPA, 859 F.2d 747 (9th Cir. 1988), cert
denied 490 US 1931 (1989).
You must file your objection or
request a hearing on this regulation in
accordance with the instructions
provided in 40 CFR part 178. To ensure
proper receipt by EPA, you must
identify docket ID number EPA–HQ–
OPP–2005–0162 in the subject line on
the first page of your submission. All
requests must be in writing, and must be
received by the Hearing Clerk as
required by 40 CFR part 178 on or
before July 14, 2009.
EPA will review any objections and
hearing requests in accordance with 40
CFR 178.30, and will publish its
determination with respect to each in
the Federal Register. A request for a
hearing will be granted only to resolve
factual disputes; objections of a purely
policy or legal nature will be resolved
in the Agency’s final order, and will
only be subject to judicial review
pursuant to 21 U.S.C. 346a(h)(1), (40
CFR 178.20(c) and 178.32(b)(1)). A
hearing will only be held if the
Administrator determines that the
material submitted shows the following:
There is a genuine and substantial issue
of fact; there is a reasonable probability
that available evidence identified by the
requestor would, if established, resolve
one or more of such issues in favor of
the requestor, taking into account
uncontested claims to the contrary; and
resolution of the issue(s) in the manner
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sought by the requestor would be
adequate to justify the action requested
(40 CFR 178.30).
II. Introduction
A. What Action Is the Agency Taking?
EPA is revoking all of the existing
tolerances for residues of carbofuran.
Currently, tolerances have been
established on the following crops:
Alfalfa, forage; alfalfa, hay; artichoke,
globe; banana; barley, grain; barley,
straw; beet, sugar roots; beet, sugar tops;
coffee bean, green; corn, forage; corn,
grain (including popcorn); corn, stover;
corn, sweet, kernel plus cob; cotton,
undelinted seed; cranberry; cucumber;
grape; grape raisin; grape, raisin, waste;
melon; milk; oat, grain; oat, straw;
pepper; potato; pumpkin; rice, grain;
rice, straw; sorghum, forage; sorghum,
grain grain; sorghum, grain, stover;
strawberry; soybean, forage; soybean,
hay; squash; sugarcane, cane; sunflower,
seed; wheat, grain; wheat, straw.
As discussed at greater length in Unit
VII., on September 29, 2008, the sole
registrant of carbofuran pesticide
products, FMC Corporation requested
that EPA cancel certain registrations.
Consistent with the request, the
registrant indicated that it no longer
seeks to maintain the tolerances
associated with the domestic use of
carbofuran on the eliminated crops, and
therefore no longer opposes the
revocation of those tolerances. No other
commenter indicated any interest in
maintaining these tolerances. EPA is
therefore revoking the tolerances
associated with those domestic uses on
two separate grounds. The first is that
the tolerances will no longer be
necessary because the registrations for
these uses have been canceled (74 FR
11551, March 18, 2009) (FRL–8403–6).
The tolerances that EPA is revoking on
this basis are: Alfalfa, forage; alfalfa,
hay; artichoke, globe; barley, grain;
barley, straw; beet, sugar roots; beet,
sugar tops; corn, fresh (including sweet);
cotton, undelinted seed; cranberry;
cucumber; grape; grape raisin; grape,
raisin, waste; melon; oat, grain; oat,
straw; pepper; rice, straw; sorghum,
forage; sorghum, grain grain; sorghum,
grain, stover; strawberry; soybean,
forage; soybean, hay; squash; wheat,
grain; and wheat, straw. The second
basis is that EPA also finds, that as
outlined in its July 31, 2008 proposed
rule, revocation of these tolerances is
warranted on the grounds that aggregate
exposure to residues from these
tolerances do not meet the safety
standard of section 408(b)(2) of the
FFDCA. The Agency is therefore
revoking tolerances for these crops
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because aggregate dietary exposure to
these residues of carbofuran, including
all anticipated dietary exposures and all
other exposures for which there is
reliable information, is not safe.
The remaining tolerances the
commenters seek to retain are: Banana;
coffee bean; corn, forage; corn, grain;
corn, stover; milk; potato; pumpkin;
rice, grain; sugarcane, cane; and
sunflower, seed. EPA has determined
that aggregate exposure to carbofuran
greater than 0.000075 milligrams/
kilogram/day (mg/kg/day) (i.e., greater
than the acute Population Adjusted
Dose (aPAD)) does not meet the safety
standard of section 408(b)(2) of the
FFDCA. For the 11 remaining
tolerances, based on the contribution
from food alone, exposure levels are
below EPA’s level of concern. At the
99.9th percentile of exposure, aggregate
carbofuran dietary exposure from food
alone was estimated to range between
0.000020 mg/kg/day for children 6 to 12
years old (29% of the aPAD) and
0.000058 mg/kg/day (78% of the aPAD)
for children 1 to 2 years old, the
population subgroup with the highest
estimated dietary exposure. However,
EPA’s analyses show that those
individuals—both adults and children—
who receive their drinking water from
sources vulnerable to carbofuran
contamination are exposed to
carbofuran levels that exceed EPA’s
level of concern—in some cases by
orders of magnitude. This primarily
includes those populations consuming
drinking water from ground water from
shallow wells in acidic aquifers overlaid
with sandy soils that have had crops
treated with carbofuran. Aggregate
exposures from food and from drinking
water derived from ground water in
vulnerable areas (e.g., from shallow
wells associated with sandy soils and
acidic aquifers) result in significant
estimated exceedances. The estimates
for aggregate food and ground water
exposure from such sources range
between 780% of the aPAD for adults
over 50 years, to 9,400% of the aPAD for
infants. Similarly, EPA analyses show
substantial exceedances for those
populations that obtain their drinking
water from reservoirs (i.e., surface
water) located in small agricultural
watersheds, prone to runoff, and
predominated by crops that are treated
with carbofuran, even though there is
more uncertainty associated with these
exposure estimates. For example,
estimated aggregate exposures from food
and drinking water derived from surface
water, based on corn use in Nebraska,
range between 330% of the aPAD for
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youths 13 to 19 years old and 3,900%
of the aPAD for infants.
Every analysis EPA has performed has
shown that estimated exposures from
drinking water from each remaining
domestic use significantly exceed EPA’s
level of concern for children.
Accordingly, aggregate exposures from
food and water significantly exceed safe
levels. Although the magnitude of the
exceedance varies depending on the
level of conservatism in the assessment,
the fact that in each case aggregate
exposures to residues of carbofuran fail
to meet the FFDCA section 408(b)(2)
safety standard, including where EPA
relied on highly refined estimates of
risk, using all relevant data and
methods, strongly corroborates EPA’s
conclusion that aggregate exposures to
residues of carbofuran are not safe.
B. Overview of Final Rule
EPA’s final rule preamble is organized
primarily into two sections. Following a
brief summary of the July 31, 2008
proposed rule, EPA summarizes the
major comments received on the
proposed rule, along with the Agency’s
responses in Unit VII. Because EPA only
presents a summary of all of the
comments received, readers are
encouraged to also consult EPA’s
Response to Comments Documents,
found in the docket for today’s action
(Refs. 111, 112, 113). These documents
contain EPA’s complete responses to all
of the significant comments received on
this rulemaking, and therefore will
contain a more detailed explanation on
many of the issues presented in Unit
VII.
Unit VIII. presents the results of EPA’s
analyses of carbofuran’s dietary risks.
This Unit generally describes the bases
for the Agency’s conclusions that
carbofuran presents unacceptable
dietary risks to children. Readers are
also encouraged to consult EPA’s
underlying risk assessment support
documents, identified in the References
section, and contained in the docket for
today’s action, for a more detailed
presentation of EPA’s scientific
analyses.
Each of these units is generally
organized consistent with the structure
of a risk assessment. Each unit begins
with a discussion of carbofuran’s
toxicity, and EPA’s hazard
identification, including a discussion of
the issues surrounding the selection of
the children’s safety factor EPA has
applied to this chemical. EPA then
discusses issues relating to carbofuran’s
exposures from food and drinking
water. The final section of each unit
relates to EPA’s conclusions regarding
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the risks from carbofuran’s aggregate
(i.e., food + water) exposures.
C. What Is the Agency’s Authority for
Taking This Action?
EPA is taking this action, pursuant to
the authority in FFDCA sections
408(b)(1)(b), 408(b)(2)(A), and
408(e)(1)(A). 21 U.S.C. 346a(b)(1)(b),
(b)(2)(A), (e)(1)(A).
III. Statutory and Regulatory
Background
A ‘‘tolerance’’ represents the
maximum level for residues of pesticide
chemicals legally allowed in or on raw
agricultural commodities (including
animal feed) and processed foods.
Section 408 of FFDCA, 21 U.S.C. 346a,
as amended by the Food Quality
Protection Act (FQPA) of 1996, Public
Law 104–170, authorizes the
establishment of tolerances, exemptions
from tolerance requirements,
modifications to tolerances, and
revocation of tolerances for residues of
pesticide chemicals in or on raw
agricultural commodities and processed
foods. Without a tolerance or
exemption, food containing pesticide
residues is considered to be unsafe and
therefore ‘‘adulterated’’ under section
402(a) of the FFDCA, 21 U.S.C. 342(a).
Such food may not be distributed in
interstate commerce (21 U.S.C. 331(a)).
For a food-use pesticide to be sold and
distributed, the pesticide must not only
have appropriate tolerances under the
FFDCA, but also must be registered
under the Federal Insecticide,
Fungicide, and Rodenticide Act (FIFRA)
(7 U.S.C. 136 et seq.). Food-use
pesticides not registered in the United
States must have tolerances in order for
commodities treated with those
pesticides to be imported into the
United States.
Section 408(e) of the FFDCA, 21
U.S.C. 346a(e), authorizes EPA to
modify or revoke tolerances on its own
initiative. EPA is revoking these
tolerances to implement the Agency’s
findings made during the reregistration
and tolerance reassessment processes.
As part of these processes, EPA is
required to determine whether each of
the existing tolerances meets the safety
standard of section 408(b)(2) (21 U.S.C.
346a(b)(2)). Section 408(b)(2)(A)(i) of the
FFDCA requires EPA to modify or
revoke a tolerance if EPA determines
that the tolerance is not ‘‘safe’’ (21
U.S.C. 346a(b)(2)(A)(i)). Section
408(b)(2)(A)(ii) of the FFDCA defines
‘‘safe’’ to mean that ‘‘there is a
reasonable certainty that no harm will
result from aggregate exposure to the
pesticide chemical residue, including
all anticipated dietary exposures and all
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other exposures for which there is
reliable information’’ (21 U.S.C.
346a(b)(2)(A)(ii). This includes exposure
through drinking water and in
residential settings, but does not include
occupational exposure.
Risks to infants and children are given
special consideration. Specifically,
section 408(b)(2)(C) states that EPA:
shall assess the risk of the pesticide
chemical based on— . . .
(II) available information concerning the
special susceptibility of infants and children
to the pesticide chemical residues, including
neurological differences between infants and
children and adults, and effects of in utero
exposure to pesticide chemicals; and
(III) available information concerning the
cumulative effects on infants and children of
such residues and other substances that have
a common mechanism of toxicity. . . .
(21 U.S.C. 346a(b)(2)(C)(i)(II) and
(III)).
This provision further directs that
‘‘[i]n the case of threshold effects, . . .an
additional tenfold margin of safety for
the pesticide chemical residue and other
sources of exposure shall be applied for
infants and children to take into account
potential pre- and post-natal toxicity
and completeness of the data with
respect to exposure and toxicity to
infants and children’’ (21 U.S.C.
346a(b)(2)(C)). EPA is permitted to ‘‘use
a different margin of safety for the
pesticide chemical residue only if, on
the basis of reliable data, such margin
will be safe for infants and children’’
(Id.). The additional safety margin for
infants and children is referred to
throughout this final rule as the
‘‘children’s safety factor.’’
IV. Carbofuran Background and
Regulatory History
In July 2006, EPA completed a refined
acute probabilistic dietary risk
assessment for carbofuran as part of the
reassessment program under section
408(q) of the FFDCA. The assessment
was conducted using Dietary Exposure
Evaluation Model-Food Commodity
Intake Database (DEEM-FCIDTM,
Version 2.03), which incorporates
consumption data from the United
States Department of Agriculture’s
(USDA’s) Nationwide Continuing
Surveys of Food Intake by Individuals
(CSFII), 1994–1996 and 1998, as well as
carbofuran monitoring data from
USDA’s Pesticide Data Program1 (PDP),
estimated percent crop treated
information, and processing/cooking
factors, where applicable. The
assessment was conducted applying a
1 USDA’s Pesticide Data Program monitors for
pesticides in certain foods at the distribution points
just before release to supermarkets and grocery
stores.
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500–fold safety factor that included a 5X
children’s safety factor, pursuant to
section 408(b)(2)(C). That refined
assessment showed acute dietary risks
from carbofuran residues in food above
EPA’s level of concern (Ref. 19). Since
2006, EPA has evaluated additional data
submitted by the registrant, FMC
Corporation, and has further refined its
original assessment by incorporating
more recent 2005/2006 PDP data, and by
conducting additional analyses. In
January 2008, EPA published a draft
Notice of Intent to Cancel (NOIC) all
carbofuran registrations, based in part
on carbofuran’s dietary risks. As
mandated by FIFRA, EPA solicited
comments from the FIFRA Scientific
Advisory Panel (SAP) on its draft NOIC.
Having considered the comments from
the SAP, EPA initiated the process to
revoke all carbofuran tolerances,
publishing its proposed revocation on
July 31, 2008 (73 FR 44864). The
comment period for the proposed rule
closed on September 29, 2008. Having
considered all comments received by
this date, EPA is now finalizing the
revocation of all existing carbofuran
tolerances. As noted above, aggregate
exposures from food and water to the
U.S. population at the upper percentiles
of exposure substantially exceed the
safe daily levels and thus are ‘‘unsafe’’
within the meaning of FFDCA section
408(b)(2) (Ref. 71). It is particularly
significant that under every analysis
EPA has conducted, the levels of
carbofuran exceed the safe daily dose
for children, even when EPA used the
most refined data and models available.
Based on these findings, EPA has
decided to move expeditiously to
address the unacceptable dietary risks to
children. EPA anticipates issuing the
NOIC subsequent to undertaking the
activities required to revoke the
carbofuran tolerances.
V. EPA’s Approach to Dietary Risk
Assessment
EPA performs a number of analyses to
determine the risks from aggregate
exposure to pesticide residues. A short
summary is provided below to aid the
reader. For further discussion of the
regulatory requirements of section 408
of the FFDCA and a complete
description of the risk assessment
process, see https://www.epa.gov/fedrgstr
/EPA-PEST/1999/January/Day-04/
p34736.htm
To assess the risk of a pesticide
tolerance, EPA combines information on
pesticide toxicity with information
regarding the route, magnitude, and
duration of exposure to the pesticide.
The risk assessment process involves
four distinct steps: (1) Identification of
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the toxicological hazards posed by a
pesticide; (2) determination of the
exposure ‘‘level of concern’’ for humans;
(3) estimation of human exposure; and
(4) characterization of human risk based
on comparison of human exposure to
the level of concern.
A. Hazard Identification and Selection
of Toxicological Endpoint
Any risk assessment begins with an
evaluation of a chemical’s inherent
properties, and whether those properties
have the potential to cause adverse
effects (i.e., a hazard identification).
EPA then evaluates the hazards to
determine the most sensitive and
appropriate adverse effect of concern,
based on factors such as the effect’s
relevance to humans and the likely
routes of exposure.
Once a pesticide’s potential hazards
are identified, EPA determines a
toxicological level of concern for
evaluating the risk posed by human
exposure to the pesticide. In this step of
the risk assessment process, EPA
essentially evaluates the levels of
exposure to the pesticide at which
effects might occur. An important aspect
of this determination is assessing the
relationship between exposure (dose)
and response (often referred to as the
dose-response analysis). In evaluating a
chemical’s dietary risks EPA uses a
reference dose (RfD) approach, which
involves a number of considerations
including:
• A ‘‘point of departure’’ (PoD)—the
value from a dose-response curve that is
at the low end of the observable data
and that is the toxic dose that serves as
the ‘starting point’ in extrapolating a
risk to the human population.
• An uncertainty factor to address the
potential for a difference in toxic
response between humans and animals
used in toxicity tests (i.e., interspecies
extrapolation).
• An uncertainty factor to address the
potential for differences in sensitivity in
the toxic response across the human
population (for intraspecies
extrapolation).
• The need for an additional safety
factor to protect infants and children, as
specified in FFDCA section 408(b)(2)(C).
EPA uses the chosen PoD to calculate
a safe dose or RfD. The RfD is calculated
by dividing the chosen PoD by all
applicable safety or uncertainty factors.
Typically in EPA risk assessments, a
combination of safety or uncertainty
factors providing at least a hundredfold
(100X) margin of safety is used: 10X to
account for interspecies extrapolation
and 10X to account for intraspecies
extrapolation. Further, in evaluating the
dietary risks for pesticide chemicals, an
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additional safety factor of 10X is
presumptively applied to protect infants
and children, unless reliable data
support selection of a different factor. In
implementing FFDCA section 408, EPA
also calculates a variant of the RfD
referred to as a Population Adjusted
Dose (PAD). A PAD is the RfD divided
by any portion of the children’s safety
factor that does not correspond to one
of the traditional additional uncertainty/
safety factors used in general Agency
risk assessment. The reason for
calculating PADs is so that other parts
of the Agency, which are not governed
by FFDCA section 408, can, when
evaluating the same or similar
substances, easily identify which
aspects of a pesticide risk assessment
are a function of the particular statutory
commands in FFDCA section 408. For
acute assessments, the risk is expressed
as a percentage of a maximum
acceptable dose or the acute PAD (i.e.,
the acute dose which EPA has
concluded will be ‘‘safe’’). As discussed
below in Unit V.C., dietary exposures
greater than 100% of the acute PAD are
generally cause for concern and would
be considered ‘‘unsafe’’ within the
meaning of FFDCA section 408(b)(2)(B).
Throughout this document general
references to EPA’s calculated safe dose
are denoted as an acute PAD, or aPAD,
because the relevant point of departure
for carbofuran is based on an acute risk
endpoint.
Carbofuran is a member of the class of
pesticides called n-methyl carbamates
(NMCs). The primary toxic effect caused
by NMCs, including carbofuran, is
neurotoxicity resulting from inhibition
of the enzyme acetylcholinesterase
(AChE, See Unit VIII.A.). The toxicity
profile of these pesticides is
characterized by rapid time to onset of
effects followed by rapid recovery
(minutes to hours). Consistent with its
mechanism of action, toxicity data on
AChE inhibition from laboratory rats
provide the basis for deriving the PoD
for carbofuran.
B. Estimating Human Dietary Exposure
Levels
Pursuant to section 408(b) of the
FFDCA, EPA has evaluated carbofuran’s
dietary risks based on ‘‘aggregate
exposure’’ to carbofuran. By ‘‘aggregate
exposure,’’ EPA is referring to exposure
to carbofuran by multiple pathways of
exposure. EPA uses available data and
standard analytical methods, together
with assumptions designed to be
protective of public health, to produce
separate estimates of exposure for a
highly exposed subgroup of the general
population, for each potential pathway
and route of exposure. For acute risks,
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EPA then calculates potential aggregate
exposure and risk by using
probabilistic 2 techniques to combine
distributions of potential exposures in
the population for each route or
pathway. For dietary analyses, the
relevant sources of potential exposure to
carbofuran are from the ingestion of
residues in food and drinking water.
The Agency uses a combination of
monitoring data and predictive models
to evaluate environmental exposure of
humans to carbofuran.
1. Exposure from Food. Data on the
residues of carbofuran in foods are
available from a variety of sources. One
of the primary sources of data comes
from federally conducted surveys,
including the PDP conducted by the
USDA. Further, market basket surveys,
which are typically performed by
registrants, can provide additional
residue data. These data generally
provide a characterization of pesticide
residues in or on foods consumed by the
U.S. population that closely
approximates real world exposures
because they are sampled closer to the
point of consumption in the chain of
commerce than field trial data, which
are generated to establish the maximum
level of legal residues that could result
from maximum permissible use of the
pesticide. In certain circumstances,
when EPA believes the information will
provide more accurate exposure
estimates, EPA will rely on field trial
data (see below in Unit VIII.E.1.).
EPA uses a computer program known
as the DEEM-FCIDTM to estimate
exposure by combining data on human
consumption amounts with residue
values in food commodities. DEEMFCIDTM also compares exposure
estimates to appropriate RfD or PAD
values to estimate risk. EPA uses DEEMFCIDTM to estimate exposure for the
general U.S. population as well as for 32
subgroups based on age, sex, ethnicity,
and region. DEEM-FCIDTM allows EPA
to process extensive volumes of data on
human consumption amounts and
residue levels in making risk estimates.
Matching consumption and residue
2 Probabilistic analysis is used to predict the
frequency with which variations of a given event
will occur. By taking into account the actual
distribution of possible consumption and pesticide
residue values, probabilistic analysis for pesticide
exposure assessments ‘‘provides more accurate
information on the range and probability of possible
exposure and their associated risk values’’ (Ref.
101). In capsule, a probabilistic pesticide exposure
analysis constructs a distribution of potential
exposures based on data on consumption patterns
and residue levels and provides a ranking of the
probability that each potential exposure will occur.
People consume differing amounts of the same
foods, including none at all, and a food will contain
differing amounts of a pesticide residue, including
none at all.
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data, as well as managing the thousands
of repeated analyses of the consumption
database conducted under probabilistic
risk assessment techniques, requires the
use of a computer.
DEEM-FCIDTM contains consumption
and demographic information on the
individuals who participated in the
USDA’s CSFII in 1994–1996 and 1998.
The 1998 survey was a special survey
required by the FQPA to supplement the
number of children survey participants.
DEEM-FCIDTM also contains ‘‘recipes’’
that convert foods as consumed (e.g.,
pizza) back into their component raw
agricultural commodities (e.g., wheat
from flour, or tomatoes from sauce).
This is necessary because residue data
are generally gathered on raw
agricultural commodities rather than on
finished ready-to-eat food. Data on
residue values for a particular pesticide
and the RfD or PADs for that pesticide
are inputs to the DEEM-FCIDTM program
to estimate exposure and risk.
For carbofuran’s assessment, EPA
used DEEM-FCIDTM to calculate risk
estimates based on a probabilistic
distribution. DEEM-FCIDTM combines
the full range of residue values for each
food with the full range of data on
individual consumption amounts to
create a distribution of exposure and
risk levels. More specifically, DEEMFCIDTM creates this distribution by
calculating an exposure value for each
reported day of consumption per person
(‘‘person-day’’) in CSFII, assuming that
all foods potentially bearing the
pesticide residue contain such residue
at a value selected randomly from the
concentration data sets. The exposure
amounts for the thousands of persondays in the CSFII are then collected in
a frequency distribution. EPA also uses
DEEM-FCIDTM to compute a
distribution taking into account both the
full range of data on consumption levels
and the full range of data on potential
residue levels in food. Combining
consumption and residue levels into a
distribution of potential exposures and
risk requires use of probabilistic
techniques.
The probabilistic technique that
DEEM-FCIDTM uses to combine
differing levels of consumption and
residues involves the following steps:
(1) Identification of any food(s) that
could bear the residue in question for
each person-day in the CSFII.
(2) Calculation of an exposure level
for each of the thousands of person-days
in the CSFII database, based on the
foods identified in Step #1 by randomly
selecting residue values for the foods
from the residue database.
(3) Repetition of Step #2 one thousand
times for each person-day.
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(4) Collection of all of the hundreds
of thousands of potential exposures
estimated in Steps ## 2 and 3 in a
frequency distribution.
The resulting probabilistic assessment
presents a range of exposure/risk
estimates.
2. Exposure from water. EPA may use
field monitoring data and/or simulation
water exposure models to generate
pesticide concentration estimates in
drinking water. Monitoring and
modeling are both important tools for
estimating pesticide concentrations in
water and can provide different types of
information. Monitoring data can
provide estimates of pesticide
concentrations in water that are
representative of the specific
agricultural or residential pesticide
practices in specific locations, under the
environmental conditions associated
with a sampling design (i.e., the
locations of sampling, the times of the
year samples were taken, and the
frequency by which samples were
collected). Although monitoring data
can provide a direct measure of the
concentration of a pesticide in water, it
does not always provide a reliable basis
for estimating spatial and temporal
variability in exposures because
sampling may not occur in areas with
the highest pesticide use, and/or when
the pesticides are being used and/or at
an appropriate sampling frequency to
detect high concentrations of a pesticide
that occur over the period of a day to
several days.
Because of the limitations in most
monitoring studies, EPA’s standard
approach is to use simulation water
exposure models as the primary means
to estimate pesticide exposure levels in
drinking water. Modeling is a useful
tool for characterizing vulnerable sites,
and can be used to estimate peak
pesticide water concentrations from
infrequent, large rain events. EPA’s
computer models use detailed
information on soil properties, crop
characteristics, and weather patterns to
estimate water concentrations in
vulnerable locations where the pesticide
could be used according to its label (69
FR 30042, 30058–30065, May 26, 2004)
(FRL–7355–7). These models calculate
estimated water concentrations of
pesticides using laboratory data that
describe how fast the pesticide breaks
down to other chemicals and how it
moves in the environment at these
vulnerable locations. The modeling
provides an estimate of pesticide
concentrations in ground water and
surface water. Depending on the
modeling algorithm (e.g., surface water
modeling scenarios), daily
concentrations can be estimated
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continuously over long periods of time,
and for places that are of most interest
for any particular pesticide.
EPA relies on models it has developed
for estimating pesticide concentrations
in both surface water and ground water.
Typically EPA uses a two-tiered
approach to modeling pesticide
concentrations in surface and ground
water. If the first tier model suggests
that pesticide levels in water may be
unacceptably high, a more refined
model is used as a second tier
assessment. The second tier model for
surface water is actually a combination
of two models: The Pesticide Root Zone
Model (PRZM) and the Exposure
Analysis Model System (EXAMS). The
second tier model for ground water uses
PRZM alone.
A detailed description of the models
routinely used for exposure assessment
is available from the EPA OPP Water
Models web site: https://www.epa.gov/
oppefed1/models/water/index.htm.
These models provide a means for EPA
to estimate daily pesticide
concentrations in surface water sources
of drinking water (a reservoir) using
local soil, site, hydrology, and weather
characteristics along with pesticide
application and agricultural
management practices, and pesticide
environmental fate and transport
properties. Consistent with the
recommendations of the FIFRA SAP,
EPA also considers regional percent
cropped area factors (PCA) which take
into account the potential extent of
cropped areas that could be treated with
pesticides in a particular area. The
PRZM and EXAMS models used by EPA
were developed by EPA’s Office of
Research and Development (ORD), and
are used by many international
pesticide regulatory agencies to estimate
pesticide exposure in surface water.
EPA’s use of the PCA area factors and
the Index Reservoir scenario was
reviewed by the FIFRA SAP in 1999 and
1998, respectively (Refs. 37 and 38).
In modeling potential surface water
concentrations, EPA attempts to model
areas of the country that are vulnerable
to surface water contamination rather
than simply model ‘‘typical’’
concentrations occurring across the
nation. Consequently, EPA models
exposures occurring in small highly
agricultural watersheds in different
growing areas throughout the country,
over a 30–year period. The scenarios are
designed to capture residue levels in
drinking water from reservoirs with
small watersheds with a large
percentage of land use in agricultural
production. EPA believes these
assessments are likely reflective of a
small subset of the watersheds across
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the country that maintain drinking
water reservoirs, representing a drinking
water source generally considered to be
more vulnerable to frequent high
concentrations of pesticides than most
locations that could be used for crop
production.
EPA uses the output of daily
concentration values from tier two
modeling as an input to DEEM-FCIDTM,
which combines water concentrations
with drinking water consumption
information in the daily diet to generate
a distribution of exposures from
consumption of drinking water
contaminated with pesticides. These
results are then used to calculate a
probabilistic assessment of the aggregate
human exposure and risk from residues
in food and drinking water.
3. Aggregate exposure analyses. Using
probabilistic analyses, EPA combines
the national food exposures with the
exposures derived for individual region
and crop-specific drinking water
scenarios to derive estimates of
aggregate exposure. Although food is
distributed nationally, and residue
values are therefore not expected to vary
substantially throughout the country,
drinking water is locally derived and
concentrations of pesticides in source
water fluctuate over time and location
for a variety of reasons. Pesticide
residues in water fluctuate daily,
seasonally, and yearly as a result of the
timing of the pesticide application, the
vulnerability of the water supply to
pesticide loading through runoff, spray
drift and/or leaching, and changes in the
weather. Concentrations are also
affected by the method of application,
the location and characteristics of the
sites where a pesticide is used, the
climate, and the type and degree of pest
pressure.
EPA’s standard acute dietary exposure
assessment calculates total dietary
exposure over a 24–hour period; that is
consumption over 24 hours is summed
and no account is taken of the fact that
eating and drinking occasions may
spread out exposures over a day. This
total daily exposure generally provides
reasonable estimates of the risks from
acute dietary exposures, given the
nature of most chemical endpoints. Due
to the rapid recovery associated with
carbofuran toxicity (AChE inhibition),
24–hour exposure periods may or may
not, a priori, be appropriate. To the
extent that a day’s eating or drinking
occasions leading to high total daily
exposure might be found close together
in time, or to occur from a single eating
event, minimal AChE recovery would
occur between eating occasions (i.e.,
exposure events). In that case, the ‘‘24hour sum’’ approach, which sums eating
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23051
events over a 24-hour period, would
provide reasonable estimates of risk
from food and drinking water.
Conversely, to the extent that eating
occasions leading to high total daily
exposures are widely separated in time
(within 1 day) such that substantial
AChE recovery occurs between eating
occasions, then the estimated risks
under any 24–hour sum approach may
be overstated. In that case, a more
sophisticated approach – one that
accounts for intra-day eating and
drinking patterns and the recovery of
AChE between exposure events — may
be more appropriate. This approach is
referred to as the ‘‘Eating Occasions
Analysis’’ and it takes into account the
fact that the toxicological effect of a first
dose may be reduced or tempered prior
to a second (or subsequent) dose.
Thus, rather than treating a full day’s
exposure as a one-time ‘‘bolus’’ dose, as
is typically done in the Agency’s
assessments, the Eating Occasion
Analysis uses the actual time of eating
or drinking occasion, and amounts
consumed as reported by individuals to
the USDA CSFII. The actual CSFIIrecorded time of each eating event is
used to ‘‘separate out’’ the exposures
due to each eating occasion; in doing so,
this ‘‘separation’’ allows the Agency to
distinguish between each intake event
and account for the fact that at least
some partial recovery of AChE
inhibition attributable to the first
(earlier) exposure occurs before the
second exposure event. For chemicals
for which the toxic effect is rapidly
reversible, the time between two (or
more) exposure events permits partial to
full recovery from the toxic effect from
the first exposure and it is this ‘‘partial
recovery’’ that is specifically accounted
for by the Eating Occasion Analysis.
More specifically, an estimated
‘‘persisting dose’’ from the first
exposure event is added to the second
exposure event to account for the partial
recovery of AChE inhibition that occurs
over the time between the first and
second exposures. The ‘‘persisting
dose’’ terminology, and this general
approach were originally offered by the
FIFRA SAP in the context of assessing
AChE inhibition from cumulative
exposures to organophosphorous
pesticides (OPs) (Ref. 40).
C. Selection of Acute Dietary Exposure
Level of Concern
Because probabilistic assessments
generally present a realistic range of
residue values to which the population
may be exposed, EPA’s starting point for
estimating exposure and risk for such
aggregate assessments is the 99.9th
percentile of the population under
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evaluation, which represents one person
out of every 1,000 persons. When using
a probabilistic method of estimating
acute dietary exposure, EPA typically
assumes that, when the 99.9th
percentile of acute exposure is equal to
or less than the aPAD, the level of
concern for acute risk has not been
exceeded. By contrast, where the
analysis indicates that estimated
exposure at the 99.9th percentile
exceeds the aPAD, EPA would generally
conduct one or more sensitivity
analyses to determine the extent to
which the estimated exposures at the
high-end percentiles may be affected by
unusually high food consumption or
residue values. To the extent that one or
a few values seem to ‘‘drive’’ the
exposure estimates at the high end of
exposure, EPA would consider whether
these values are reasonable and should
be used as the primary basis for
regulatory decision making (Ref. 101).
VI. Summary of the Proposed Rule
EPA proposed to revoke all of the
existing tolerances for residues of
carbofuran on the grounds that aggregate
exposure from all uses of carbofuran fail
to meet the FFDCA section 408 safety
standard (73 FR 44864). Based on the
contribution from food alone, EPA
calculated that dietary exposures to
carbofuran exceeded EPA’s level of
concern for all of the more sensitive
subpopulations of infants and children.
At the 99.9th percentile, carbofuran
dietary exposure from food alone was
estimated at 0.000082 mg/kg/day (110%
of the aPAD) for children 3–5 years old,
the population subgroup with the
highest estimated dietary exposure (Ref.
16). In addition, EPA’s analyses showed
that those individuals—both adults as
well as children—who receive their
drinking water from vulnerable sources
are also exposed to levels that exceed
EPA’s level of concern—in some cases
by orders of magnitude. This primarily
included those populations consuming
drinking water from ground water from
shallow wells in acidic aquifers overlaid
with sandy soils that have had crops
treated with carbofuran. It also included
those populations that obtain their
drinking water from reservoirs located
in small agricultural watersheds, prone
to runoff, and predominated by crops
that are treated with carbofuran,
although there was more uncertainty
associated with these exposure
estimates. The proposal discussed a
number of sensitivity analyses the
Agency had conducted in order to
further characterize the potential risks
to children. Every one of these
sensitivity analyses determined that
estimated exposures significantly
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exceeded EPA’s level of concern for
children.
VII. Summary of Public Comments and
EPA Responses
This section presents a summary of
some of the significant comments
received on the proposed rule, as well
as the Agency’s responses. More
detailed responses to these comments,
along with the Agency’s responses to
other comments received can be found
in the Response to Comments
Documents, located in the docket for
this rulemaking (Refs. 111, 112, and
113).
A. Tolerances Associated With
Voluntarily Canceled Uses
On September 29, 2008, the registrant,
FMC Corporation requested EPA to
eliminate several uses from their enduse products. Consistent with this
request, the registrant has indicated that
it no longer seeks to maintain the
tolerances associated with the domestic
use of these products, and therefore no
longer opposes the revocation of those
tolerances. No other commenter
indicated any interest in maintaining
these tolerances. EPA is therefore
revoking the tolerances associated with
those domestic uses, on two separate
grounds. The first ground is that the
tolerances will no longer be necessary
because the registrations for these uses
have been canceled. The tolerances that
EPA is revoking on this basis are:
Alfalfa, forage; alfalfa, hay; artichoke,
globe; barley, grain; barley, straw; beet,
sugar roots; beet, sugar tops; corn, fresh
(including sweet); corn, popcorn;
cotton, undelinted seed; cranberry;
cucumber; grape; grape raisin; grape,
raisin, waste; melon; oat, grain; oat,
straw; pepper; rice, straw; sorghum,
forage; sorghum, grain grain; sorghum,
grain, stover; strawberry; soybean,
forage; soybean, hay; squash; wheat,
grain; and wheat, straw.
EPA also finds, however, that
revocation of these tolerances is
warranted on the grounds that aggregate
exposures to these residues of
carbofuran do not meet the safety
standard of section 408(b)(2) of the
FFDCA. The Agency is therefore
revoking tolerances for these crops
because aggregate dietary exposures to
residues of carbofuran, including all
anticipated dietary exposures and all
other exposures for which there is
reliable information, are not safe.
As noted in the proposed rule, based
on the contribution from only the foods
bearing residues resulting from all of
these tolerances, dietary exposures to
carbofuran would be unsafe for the more
sensitive children’s subpopulations. At
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the 99.9th percentile, carbofuran dietary
exposure from food alone was estimated
at 0.000082 mg/kg/day (110% of the
aPAD) for children 3–5 years old, the
population subgroup with the highest
estimated dietary exposure (Ref. 70). In
addition, as discussed in more detail,
both in the proposed rule, and in Unit
VIII.E.2. below, drinking water residues
of carbofuran contribute significantly to
unsafe aggregate exposures.
Accordingly, it has not been shown that
exposures from these uses would meet
the FFDCA safety standard.
B. Comments Relating to EPA’s
Toxicology Assessment
1. Comments relating to EPA’s PoD.
One group of commenters stated that the
studies clearly support EPA’s
conclusion that the post-natal day
(PND)11 brain data on the inhibition of
AChE in juvenile rats provide the most
appropriate PoD for risk assessment.
The commenters also claimed, however,
that ‘‘the specific PoD proposed by EPA
is 0.03 mg/kg/day, but our analysis of
the best data for the risk assessment are
found in the good laboratory practices
(GLP) compliant studies and those
studies support 0.033 as a better value
for the PND11 rat.’’ This group of
commenters also described an analysis
their consultant had conducted.
According to the commenters, their
consultant calculated the value of 0.033
mg/kg/day/day from the BMD10s and
BMDL10s 3 in the four FMC studies with
first observation time equal to 0.25
hours. The BMDs and BMDLs were
calculated separately for each of these
datasets. The results for the four
datasets were combined, but, unlike
EPA’s analyses, the datasets themselves
were not combined.
With respect to using the PND11 rat
pup data as the PoD, the Agency
acknowledges this area of agreement
with the commenters. Ultimately, the
BMDL10 recommended by the
commenters differs from the EPA’s
BMDL10 by only 6% (0.031 mg/kg/day
vs. 0.033 mg/kg/day), a difference that is
not biologically significant. Moreover,
when rounded to one significant digit,
as is done by typical convention and
consistent with the dose information
provided in the comparative
cholinesterase (ChE) studies (also called
CCA studies), both values yield the
identical PoD of 0.03 mg/kg/day.
Moreover, the Agency notes that the
value of 0.033 mg/kg/day recommended
3 BMD is an abbreviation for benchmark dose.
The BMDL10 is the lower 95% confidence limit on
the BMD10. The BMD10 is the estimated dose (i.e.,
benchmark dose) to result in 10% AChE inhibition.
EPA uses the BMDL, not the BMD, as the point of
departure.
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by the commenter does not include the
0.5–hr time-point from MRID no.
47143705 although this dataset yielded
the lowest BMDL for individual datasets
reported by the commenters. As such,
the commenter’s recommended value
does not include all of the relevant data
collected at the time of peak effect. The
commenters have provided no rationale
for why it would be appropriate to
selectively exclude data from the time
frame in this study most relevant to the
risk assessment. Accordingly, as noted
in footnote 115 of the comment, when
the commenters included the data at
0.5–hr timepoint from MRID no.
47143705, the BMDL10 was lowered
from 0.033 to 0.030 mg/kg/day—a value
almost identical to the Agency’s
BMDL10 of 0.031 mg/kg/day.
Thus, although the commenters are
critical of the Agency’s approach, there
is basic consensus between EPA and the
commenters that the PoD is 0.03 mg/kg/
day given the precision of available data
in deriving the BMDL10.
The Agency also notes that specific
details about the commenter’s BMD
modeling were not provided to the
Agency. The Agency is therefore unable
to fully evaluate the scientific validity of
the modeling procedure used by the
commenter.
Some commenters claimed that
‘‘EPA’s derivation of its PoD, however,
is not transparent and is not
scientifically supported. Equally
important, based on a recent review of
the raw data from the Moser study
(obtained via a FOIA request originally
filed in April 2008), we believe that the
Moser study may not meet minimum
criteria for scientific acceptability.
Critical data are simply unavailable for
this study, including: a complete
protocol, analysis of dosing solutions,
clinical observations, standardization of
brain and red blood cell (RBC) AChE
results in terms of amount per unit of
protein, and quality assurance records
of inspections for the carbofuran portion
of the study.’’ As a result, the
commenters assert that the better
approach is to use the brain AChE
inhibition values calculated from the
GLP-compliant registrant studies,
because the commenters claim that EPA
has acknowledged them to be valid, and
which the commenters claim are fully
documented. Using EPA’s BMD dosetime response model, the commenters
claim that the correct PoD is 0.033 mg/
kg/day.
The Agency disagrees with the
commenters’ assertions that the
derivation of the PoD was not
transparent. The Agency’s analysis,
computer code, and data have been
placed in the docket for public scrutiny.
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EPA’s models have been repeatedly
reviewed and approved by the FIFRA
SAP (Refs. 42, 43, and 44), and, as part
of that process, been made available to
the public. The most recent occasion
was as part of the February 2008 FIFRA
SAP meeting on the draft carbofuran
NOIC. As EPA has explained numerous
times, the Agency has not deviated from
its standard practice. Most recently,
EPA laid out its approach at length in
the proposed rule. While it is true that
EPA may not have repeated in this most
recent analysis all of the specifics that
it has previously provided, it is
inaccurate for the commenter to claim
that the information is not available, or
that its review has in any way been
hampered by this so-called lack of
transparency. Indeed, given that the
commenters appear to have been able to
duplicate EPA’s analyses, it seems
reasonable to assume that the
information was available. It is further
worth noting that the commenters had
sufficient access to the Moser data to
allow a complete re-analysis before the
2008 SAP on the draft carbofuran NOIC,
which was months before the FOIA
request was filed with the Agency. In
addition, a complete study protocol as
well as a report of the quality assurance
(QA) technical and data reviews of the
study were included in the documents
provided in response to the FOIA
request. The Agency further notes that
although the commenters complain
about their perceived lack of
transparency in EPA’s BMD
calculations, they did not provide any
detailed information about the
derivation of their proposed value.
EPA also disagrees with the claim that
EPA’s PoD is not scientifically
supported. As an initial matter, EPA
notes that the commenters’ suggested
PoD of 0.033 mg/kg/day is not
significantly different than EPA’s PoD of
0.03 mg/kg/day (see Unit VIII.B.). The
criticisms of the Moser study are also
incorrect. The procedures and
documentation are in accordance with
the ORD Quality Assurance
Management Plan. Concerning
standardization of brain and RBC AChE
in terms of protein, it is interesting to
note that, despite their complaints that
EPA had failed to do this, the registrant
also failed to do this in their own
studies. However, in the Moser study,
the AChE activity was standardized in
terms of tissue weight per ml, so the
amount of protein was consistent across
samples. This is an acceptable and
widely used practice. Further, abnormal
(or ‘‘clinical’’) observations were
recorded when they occurred; however,
it is not technically possible to observe
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the animals while they are being tested
for motor activity. Finally, the registrant
is correct that the dosing solutions for
the CCA study were not analyzed, but
this was done for the adult studies in
McDaniel et al., (2007), and the
preparation and stability of the
carbofuran samples were confirmed
therein.
If, however, the Agency elected to
follow the commenters’
recommendation to not use the ORD
data in the risk assessment, there would
be no high quality RBC AChE inhibition
data available in juvenile rats. As such,
there would be no surrogate data
evaluating AChE inhibition in the
peripheral nervous system (PNS), much
less any data from the PNS itself. As
discussed in Unit VIII.C., with the
availability of some RBC data from ORD
evaluating the effects in the PNS, the
Agency is able to reduce the children’s
safety factor from 10X to 4X. Without
the ORD data, the Agency would be
required to retain the statutory 10X.
Some commenters raised concern that
EPA’s PoD was not sufficiently
protective. The commenters point to
comments from the February SAP
review of EPA’s draft carbofuran NOIC,
quoting the following language from the
report, which indicated concern that the
starting point used in the risk
assessment was not sufficiently
protective:
Some Panel members questioned the
assumption that a 10% level of brain AChE
inhibition (i.e., BMD10) is sufficiently
harmless to be used as a point of departure
in risk assessment. It was noted that as more
refined brain data become available, we are
beginning to understand that not all regions
of this organ show the same level of AChE
inhibition. Thus a 10% inhibition for the
whole brain may imply significantly greater
inhibition in a more sensitive region.
The FIFRA SAP report provides
conflicting information on the issue of
the benchmark dose response used by
EPA in its BMD calculations. On page
53 of the FIFRA SAP report, the text
suggests that the available data do not
support the 10% response level used in
BMD modeling and that a 20% response
level is more appropriate. The text
quoted by the commenters from the
report argues that a 10% response level
may not be sufficiently health
protective, but that a 5% response level
may be more appropriate. Given the lack
of unanimous advice by the Panel in
this case, and that past SAPs have
previously supported the use of a 10%
level in comparable cases, the Agency
has concluded that the overall weight of
the available evidence supports a
decision that use of a 10% response
level will be protective of human health.
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A more detailed response to this issue
can be found in the Agency’s response
to the SAP (Ref. 109).
2. Comments relating to the children’s
safety factor—a. Reliance on RBC to
predict effects on the PNS. Some
commenters argued that brain is a better
surrogate for the PNS than RBC, and
that therefore reliance on the brain data
is sufficiently protective that no
additional children’s safety factor is
necessary. The commenters claim that
the carbofuran data on brain AChE
inhibition and on clinical signs of
toxicity indicate that PNS AChE
inhibiton is sufficiently modeled by
brain AChE inhibtion. They note that
the available data show that brain AChE
responds rapidly to carbofuran; it
readily passes the blood-brain barrier
and the data show maximal AChE
inhibition within minutes. The
commenters also alleged that brain and
tissue AChE are more similar to each
other than to RBC AChE. The
commenters also point to the fact that
oral time-course studies by EPA and the
registrant show that brain cholinesterase
responds quickly and recovers
promptly. Carbofuran clearly reaches
the brain quickly. They also cite to the
fact that EPA has acknowledged that in
adults, no difference in sensitivity is
seen between brain and RBC AChE
inhibition.
The commenters repeatedly mention
the rapid speed by which carbofuran
reaches the brain and the rapid onset
and recovery of AChE inhibition as
support for the notion that reliance on
the brain data will be adequately
protective of PNS toxicity. The Agency
agrees with the commenters on the
rapid nature of carbofuran toxicity.
However, this rapid toxicity occurs in
multiple tissues, not just the brain.
Moreover, the time course of such
toxicity is not relevant to determining
which tissue is more sensitive.
Therefore, these comments are not
relevant to a discussion of the use of
brain versus RBC AChE as a surrogate
for PNS toxicity.
The commenters’ allegation that brain
and tissue AChE are more similar to
each other than to RBC AChE is not
scientifically supportable. Radic and
Taylor (2006), for example, state, ‘‘In
humans and most other vertebrate
species, only one gene encodes AChE’’
(Ref. 81). Accordingly, if only one gene
encodes the enzyme, then the structure
of the active site is the same throughout
the body.
Responses in adult animals are not
necessarily predictive or relevant to
responses in juveniles since the
metabolic capacity of juveniles is less
than that of adults. As such, juveniles
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can be more sensitive to some toxic
agents. Specific to carbofuran, multiple
studies have shown juvenile rats to be
more sensitive than adult rats. Thus,
comments about responses in adults are
less relevant compared to data in pups
from the carbofuran risk assessment,
particularly in the evaluation of the
children’s safety factor.
One group of commenters argue that
there is evidence that RBC AChE
activity can be inhibited to a greater
degree than AChE in peripheral organs.
For example, Marable et al., (2007),
showed that chlorpyrifos caused much
greater inhibition of AChE in RBC than
in diaphragm, left atrium, and
quadriceps, as well as in brain.
Similarly, Padilla et al., (2005), reported
a greater inhibition of AChE in RBC
than in diaphragm or brain. Bretaud et
al., (2000), showed that carbofuran
caused significant inhibition of AChE in
brain tissues but not in muscle in
goldfish. The commenters claim that
these results demonstrate that RBC
AChE activity does not reflect AChE
activity in peripheral organs.
The commenters mention three
references: Padilla et al., 2005; Marable
et al., 2007; Bretaud et al., 2000. Two of
these studies involve testing with
chlorpyrifos in rats (Refs. 65 and 77)
and the third involves testing fish with
carbofuran (Ref. 14). Quantitative
extrapolation of RBC and peripheral
AChE inhibition differences from fish to
mammals is highly uncertain because
distribution of carbofuran across fish
and mammalian tissues may be quite
different. The Padilla et al., (2005) and
Marable et al., (2007) references include
testing with chlorpyrifos, an OP whose
primary mode of action is also AChE
inhibition (Refs. 65 and 77). Exposure to
OP and NMC insecticides results in
inhibition of AChE. The Agency
assumes it is this similarity in
mechanism of toxicity, which provides
the basis for inclusion of these
chlorpyrifos references by the
commenters.
The Agency believes that direct
comparison between the results of
studies with chlorpyrifos and
carbofuran should be done with great
caution. OP and NMC insecticides have
different time courses of effects, which
lead to toxicity profiles that are
somewhat different. The studies cited
by the commenters (Padilla et al., 2005,
Marable et al., 2007) involve long-term
treatment (chronic exposure) in adult
animals where blood, brain and
peripheral tissue AChE inhibition were
at steady-state. The time course and
AChE inhibition in various tissues at
steady state is distinctly different from
acute AChE inhibition at the time of
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peak effect, like that in the carbofuran
studies. In the case of acute toxicity
with NMCs, the time course of
inhibition and reactivation of the AChE
is rapid (minutes to hours). In the case
of OPs, when steady state inhibition is
achieved in adults, recovery is slow
(days to weeks) and is influenced by
synthesis of new AChE protein. In
addition, as stated above, responses in
adults are not adequate for drawing
conclusions in the young. As such, the
Agency views the Padilla et al., (2005)
and Marable, et al., (2007) references as
providing limited useful information for
the carbofuran risk assessment.
Although the Agency is cautious
about direct comparisons between OPs
and NMCs, it must be noted in this case
that: (1) The commenters have provided
an incomplete review of the literature
and ignored more relevant studies; and
(2) the chlorpyrifos literature does, in
fact, generally support the Agency’s
conclusions with respect to carbofuran.
The commenters state specifically that
‘‘[t]here is also evidence that RBC AChE
activity can be inhibited to a greater
degree than AChE in peripheral organs.’’
The assertion that RBC AChE activity
can be more inhibited than peripheral
tissues ignores relevant chlorpyrifos
data. For example, Richardson and
Chambers (2003) showed that lung
AChE can be more sensitive than serum
and brain AChE in rat fetuses (Ref. 82).
EPA’s response to comments
document provides a more extensive
review of chlorpyrifos studies (those
that include data in peripheral tissue)
than that discussed by the commenters
(Ref. 112). While there are many studies
that have measured AChE inhibition
with chlorpyrifos, the Agency has
limited its discussion here only to those
in pregnant rats and fetuses which
provide peripheral AChE data (e.g.,
heart, lung, and liver) as they are the
most relevant to the present issues
raised by the commenters. Several
chlorpyrifos studies in pregnant dams
and/or their fetuses show that
peripheral AChE is more sensitive than
brain AChE. For example, a study
conducted by Dow AgroSciences
showed that a dose of 1 mg/kg results
in 4–6 fold more inhibition in heart
AChE than in brain tissues (Refs. 66 and
67). Similarly, Hunter et al., (1999)
showed that in pregnant dams at doses
of 3 mg/kg liver AChE was inhibited
84% when brain tissues were inhibited
by only 41% (Ref. 51). Fetuses evaluated
at or near the peak time of effect in the
Hunter et al., (1999) study showed 2–8
fold more AChE inhibition in liver than
in brain. (Id.). Although there is some
variation among studies, the
preponderance of data supports the
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conclusion that peripheral tissues are
more sensitive to chlorpyrifos exposure
than brain tissues. Thus, the
chlorpyrifos data in fetuses and
pregnant rats supports the Agency’s
concern that sole reliance on brain data
may not be protective of the PNS
following carbofuran exposure.
Chlorpyrifos data in post-natal pups are
described in the Agency’s Response to
Comments on the proposed tolerance
revocation (Ref. 112).
Although OPs and NMCs both inhibit
AChE, the chemical reaction at the
active site differs. This difference leads
to different time courses of toxicity and
recovery. As such, comparisons,
particularly quantitative ones, between
chlorpyrifos and carbofuran should be
done with care. However, in general,
review of these data supports the
Agency’s conclusion for carbofuran that
in the absence of high quality data that
is relevant for risk assessment in either
peripheral tissue or a surrogate (i.e.,
RBCs), the Agency cannot be certain
that brain AChE inhibition is protective
of potential peripheral toxicity
following carbofuran exposure.
Therefore, the chlorpyrifos data support
the Agency’s conclusion that at least a
portion of the children’s safety factor
must be retained for carbofuran given
the lack of peripheral AChE data and
lack of RBC AChE (as a surrogate for
peripheral AChE) at the low end of the
dose-response curve.
b. Comments relating to EPA’s
approach to deriving the 4X factor. One
group of commenters argued that EPA’s
approach to calculating its 4X
Children’s Safety Factor was flawed.
According to the commenters, it would
be more plausible and straightforward to
compare the RBC and brain AChE levels
at the same time in the same rat when
these rats are exposed to carbofuran.
Based on an analysis of the RBC and
brain AChE inhibition data, the
commenters’ claim that the percentage
reduction in RBC AChE in a rat is
almost the same as the percentage
reduction in brain AChE in that same
rat. The commenters summarize a
statistical evaluation of the
experimental data on AChE inhibitions
in RBC and brain in rats due to
carbofuran exposure conducted by their
contractor, and claim that this
evaluation shows that the percentage
inhibition of RBC AChE in a rat
compared to the percentage inhibition
of brain AChE in the rat is no more than
1.5X—a difference that they claim is not
meaningful from a physiological
perspective and does not warrant
imposition of a 4X FQPA safety factor.
EPA notes that the commenters
recommended this approach of
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comparing the degree of inhibition for
each animal as part of their presentation
to the Carbofuran SAP. EPA also
addressed this approach, comparing
RBC to brain in the same animals, at the
SAP and in the responses to the SAP
report (Ref. 109). It is notable that the
SAP did not endorse this approach.
EPA’s analyses of the commenters’
approach identified several significant
deficiencies. First, the comparison
suggested by the commenter means that
EPA would need to ignore existing data.
This is because only EPA’s study of
PND11 animals contains both brain and
RBC data, so the comparisons suggested
by the commenter can only be made
using that dataset. However, the dose
levels in that study were so high that the
lower portion of the dose-response
curve was missed. At these higher
doses, there is little difference between
the levels of brain and RBC inhibition.
This phenomenon, namely the relative
sensitivity of RBC compared to brain
appears smaller at higher doses. This
phenomenom is also shown in multiple
chlorpyrifos studies, where blood or
peripheral measures of AChE inhibition
are more sensitive than brain at low to
mid doses but the tissues appear to be
similar at higher doses.
Second, the commenters’ approach is
fundamentally flawed. The commenters’
suggested alternative relies exclusively
on comparisons between the degree of
inhibition in the treated animals
without any regard to the doses at
which the effects occurred. For
example, one animal may have shown,
on average, 10% inhibition in the brain,
when it demonstrated 20% RBC
inhibition. Under this approach, what
would be relevant would simply be the
ratio of 1:2. But the Agency believes it
is critical to focus on the ratios of
potency, which is the ratio of the doses
in the data that cause the same level of
AChE inhibition. The Agency’s
approach of comparing potencies is
more directly relevant for regulatory
purposes than comparisons of average
inhibition. This is because dose
corresponds more directly to potential
exposures, which is what EPA regulates
(i.e., how much pesticide residue does
a child ingest). By comparison, the
commenters’ suggested reliance purely
on the average degree of inhibition
provides no information that
corresponds to a practical basis for
regulation.
Finally, the range of ratios of effects
that the commenters propose as an
alternative is consistent with range of
potencies that EPA has calculated at the
higher doses in the available data, so the
commenters’ results do not ultimately
contradict EPA’s assessment, which
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tries to account for what occurs at lower
doses. Briefly, if the dose-responses for
RBC and brain inhibition were linear,
ratios of inhibition would equal ratios of
BMDs. However, these dose-responses
are not at all linear, and the available
data demonstrate that brain and blood
dose-responses have somewhat different
shapes. Thus, estimates of relative
effects at particular, relatively high,
doses are not relevant to the problem of
estimating potency ratios at lower doses.
The dose-response curves level off at
about the same level of inhibition, so, at
high doses, there is no difference
between the ratio of inhibitions. Except
at the lowest dose, where the ratio is
slightly greater than 2, the remaining
ratios are only slightly greater than 1.
Given the inevitable statistical noise in
these measures, it is clear that the ratios
expected from EPA’s modeling are
substantially similar to what the
commenter finds in its comparison
between individuals. Accordingly, the
commenter’s suggested comparisons at
higher doses provide no evidence of
what occurs at lower doses; and thus
provides no evidence that demonstrates
that EPA’s modeling results at lower
doses is inaccurate.
One group of commenters claimed
that the statistical comparisons that
support EPA’s selection of a 4X
children’s safety factor are flawed. The
commenters claim that, even assuming
that RBC values are relevant, EPA’s
conclusion that RBC effects in the
relevant studies were four times more
sensitive than brain effects is not
mathematically supportable. The
commenters reference statistical
analyses performed for them by a
contractor, which they claim show that
EPA’s calculation of the 4X children’s
safety factor is simply incorrect. The
commenters complain that the datasets
EPA used for brain differ not only
because they were from different
studies, but also because the data were
taken at different times ranging from 15
minutes to 4 hours after dosing. The
commenters also raise the concern that
EPA’s decision to combine data for
different strains of rats, sexes,
experiments, laboratories, dates, dose
preparations, rat ages, and times
between dosing and AChE
measurement, is problematic, claiming
that these differences in study design
severely limit the validity of EPA’s
comparisons. In addition, the
commenters claim to have found a
number of errors and inconsistencies in
how the modeling was conducted.
Correcting for these errors, the
commenters claim, shows that the
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BMDs for brain and RBC data are
essentially the same.
As discussed at length below, and in
EPA’s Response to Comments
document, EPA disagrees that its
statistical modeling was in any way
flawed (Ref. 112).
In general, EPA believes that
consideration of all available data is the
scientifically more defensible approach,
rather than the selective exclusion of
reliable data. The Agency’s Draft BMD
Guidance says the following: ‘‘Data sets
that are statistically and biologically
compatible may be combined prior to
dose response modeling, resulting in
increased confidence, both statistical
and biological, in the calculated BMD’’
(Ref. 100). The Agency’s carbofuran
analysis has included all available, valid
data in its analysis. Further regarding
combining data from multiple strains,
the SAP was fully aware that the
Agency was planning to derive BMD
estimates from data sets using different
strains of rats (Ref. 43).
By contrast, the commenters’
suggested analysis ignores relevant,
scientifically valid data. The FMC
analysis left out the 30–minute data
from MRID no. 47143705. The
commenters have provided no rationale
as to why it would be appropriate to
selectively exclude data from the time
frame in this study most relevant to the
risk assessment (i.e., peak AChE
inhibition). The commenters’ analysis of
the individual datasets from MRID no.
47143705, showed that at 30 minutes
the females and males provide BMDL10s
of 0.009 mg/kg/day and 0.014 mg/kg/
day, respectively. When the datasets
were combined, inclusion of the 30–
minute timepoint from MRID no.
47143705 decreased the BMDL10 from
0.033 mg/kg/day to 0.030 mg/kg/day.
EPA has used a sophisticated analysis
of multiple studies and datasets to
develop the PoD for the carbofuran risk
assessment. However, instead of this
analysis, EPA could simply have
followed the general approach laid out
in its BMD policy (Ref. 100), which is
used in the majority of risk assessments.
Under this general approach, EPA
would regulate using the most sensitive
effect, study, and/or dataset. If the
Agency chose not to combine the data
in its analyses, as the commenters’
suggested, data collected at or near the
peak time of effect (i.e., 30 minutes)
would in fact provide the more relevant
datasets. If this more simple approach
were taken, in accordance with BMD
guidance, EPA would select the lowest
BMDL10. Assuming the commenters’
values were used, EPA would have
selected a PoD of 0.009 mg/kg/day,
instead of 0.03 mg/kg/day, which is the
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value EPA is currently using in its risk
assessment.
Further, the commenters complain
that EPA’s approach of combining data
across multiple studies is scientifically
inappropriate. The commenters have,
however, combined the results of
analysis from four datasets. It is notable
that most of the issues cited by the
commenters also apply equally to the
commenter’s own analysis, as described
in more detail in EPA’s Response to
Comments document (Ref. 112).
EPA has addressed all of the
commenters’ claimed inconsistencies in
its Response to Comments document
(Ref. 112). The majority of these claimed
flaws and inconsistencies were either
misunderstandings by the commenters
or areas where it was the commenters
who were incorrect, not EPA. However,
in response to some of their allegations,
EPA conducted new analyses to
determine whether the suggested
alternative approaches would make any
significant difference in EPA’s modeling
outcomes. For example, in response to
one of their comments, EPA used the
dose-time-response model to extrapolate
BMD50s to develop a common point of
comparison between all studies.
Specifically, EPA extrapolated the
PND11 brain analysis to estimate BMD50
for 40 minutes after dosing for
comparison with the existing PND11
RBC BMD50, and extrapolated the
PND11 RBC BMD50 to 15 minutes after
dosing for a range of assumed recovery
half-lives, for comparison to the existing
PND11 brain BMD50 (Refs. 30 and 31).
In either approach, the estimate of the
RBC to brain potency ratio in PND11
animals is increased, and EPA’s safety
factor would correspondingly increase
to reflect that larger difference. For
example, when the PND11 brain BMD50
is extrapolated to 40 minutes, the RBC
to brain potency ratio grows to 4.7 (Ref.
30), and when the PND11 RBC BMD50
is extrapolated to 15 minutes, using a
range of estimates for the recovery halflife of the RBC endpoint, the RBC to
brain potency ratio ranges from 4.2 to
4.6 (Ref. 31). The commenter’s approach
would therefore support a children’s
safety factor of 5X rather than 4X.
Similarly, in response to the
complaint that EPA should have
generated a new dose-response model in
order to calculate the BMD50s for brain
and RBC, EPA conducted the suggested
calculation (Ref. 112). The ratio of brain
to RBC BMD50s in this new analysis is
the same as that calculated by EPA
using the mathematical expression. Both
provide a ratio of brain to RBCs BMD50
of 4X. Specifically, the values are for
PND11 brain BMD50 0.35 and for RBC,
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0.086, resulting in a ratio of 4.09 (Ref.
112).
Several commenters disagreed with
the Agency’s decision to apply a 4X,
arguing that the high bar set by the
statute for lessening the tenfold safety
factor has not been achieved because
‘‘important data gaps exist.’’ These
commenters raised the concern that key
data on carbofuran toxicity and
exposure for the very young are
inadequate. Examples include: No data
were presented for pre-natal sensitivity
as would have been desirable for
addressing the need to protect
developing individuals; BMD10
estimates from the available RBC AChE
inhibition data are not reliable due to
lack of data at the low end of the dose
response curve. The commenters also
highlighted EPA’s assumption that the
RBC and brain AChE dose response
curves are parallel, noting that there are
currently no data to test this assumption
for carbofuran. One commenter raised
the concern that ‘‘EPA has no
substantial research on alternate
mechanisms of carbofuran toxicity. EPA
has acknowledged but failed to
incorporate in its assessment the
potential for lasting adverse effects from
transient exposures during fetal and
newborn life-stages, and EPA has
acknowledged that there are
uncertainties in the available data (as
raised by the SAP).’’ The commenters
concluded that the Agency does not
have the requisite ‘‘completeness of
data’’ required by law to lessen the
safety factor,’’ and urged the Agency to
reinstate the default 10X safety factor.
Section 408(b)(2)(C) of the FFDCA
requires that EPA consider the
‘‘completeness of data with respect to
exposure and toxicity to infants and
children’’ when evaluating whether
retention of the default 10X safety factor
is appropriate. The Agency has
concluded that available exposure
information is sufficient for purposes of
developing its human health risk
assessment, and has adequately
accounted for the lack of certain hazard
information with the retention of a 4X
children’s safety factor. Moreover, the
Agency has concluded that the exposure
assessment does not substantially
underestimate food or water exposure.
The completeness of the hazard
database and the interpretation of
available toxicity studies were described
elsewhere in this final rule preamble.
The Agency continues to believe that a
4X children’s safety factor is appropriate
for carbofuran.
Several commenters alleged that
application of a 4X children’s safety
factor, rather than a 10X, is inconsistent
with the SAP’s advice. These
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commenters argued that the SAP report
reflected strong support, if not
unanimity, among panel members for a
safety factor of at least fivefold, and
pointed to the statement in the report
that ‘‘some Panel members considered it
reasonable to retain the full 10X
[children’s] safety factor (Panel Scenario
5). Given the uncertainty in the data and
in its interpretation for risk assessment
by the entire Panel, these Panel
members believed that this standard for
change had not been met.’’
As described in detail in the Agency’s
response to the SAP report (Ref. 109),
the Agency believes there was a general
consensus that a children’s safety factor
of 2X or greater was necessary. The
Agency does note that one Panel
member thought a 1X was appropriate
and at least two believed a 2X was
appropriate. Given that the Panel did
not take a vote on the record and the
report notes that the Panel did not
endorse a particular approach, any
conclusions about the possible
‘‘unanimity’’ of the Panel is speculation.
However, as described in the Agency’s
response to the SAP and in the July
2008 proposed rule, EPA believes that
on balance, its reliance on the data
derived factor of 4X is consistent with
the SAP’s advice, as a whole.
Several commenters raised concern
that EPA’s application of a 4X children’s
safety factor did not adequately account
for the differences between children and
adults. The commenters raised several
reasons that children are more
vulnerable than adults to carbofuran.
These include the following:
(1) Children are growing. Pound for
pound, children eat more food, drink
more water and breathe more air than
adults. Thus, the commenters conclude,
they are likely to be more exposed to
substances in their environment than
are adults. Children have higher
metabolic rates than adults and are
different from adults in how their
bodies absorb, detoxify and excrete
toxicants.
(2) Children’s bodies, including their
nervous, reproductive, digestive,
respiratory and immune systems, are
developing. This process of
development creates periods of
vulnerability. Exposure to toxicants at
such times may result in irreversible
damage when the same exposure to a
mature system may result in little or no
damage.
(3) Children behave differently than
adults, leading to a different pattern of
exposures to the world around them.
For example, they exhibit hand-tomouth behavior, ingesting whatever
substances may be on their hands, toys,
household items, and floors. Children
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play and live in a different space than
do adults. For example, very young
children spend hours close to the
ground where there may be more
exposure to toxicants in dust, soil, and
carpets as well as low-lying vapors.
(4) The recovery time from carbofuran
exposure for the very young is more
than four times that of adults, as the
SAP noted.
Carbofuran does not have any
residential uses. As such, comments
about the breathing rate of children and
hand-to-mouth behavior do not apply to
carbofuran’s risk assessment. The
Agency agrees with the commenters that
infants and children represent a
potentially susceptible lifestage to
carbofuran exposure. Accordingly, the
Agency has taken steps to incorporate
lifestage specific information in its risk
assessment. For example, the Agency’s
hazard assessment has used data from
PND11 rat pups as the PoD in
extrapolating human risk. Although it is
not possible to directly correlate ages of
juvenile rats to humans, PND11 rats are
believed to be close in development to
newborn humans (Refs. 5, 12, and 26).
The Agency’s food exposure assessment
relies on DEEM-FCIDTM, which uses the
CSFII database, including the 1998
supplemental survey of children. As
such, the Agency’s aggregate risk
assessment accounts for the decreased
metabolic capacity of juveniles in
addition to age-specific behaviors in
eating and drinking.
One commenter noted that while they
agreed that the use of brain and RBC
AChE inhibition data is an appropriate
endpoint for use in EPA’s risk
assessment, they did not believe that it
is sufficiently health-protective to only
rely on this endpoint without an
uncertainty factor because it has not
been established scientifically that
AChE inhibition is the most sensitive
endpoint. The commenter noted that
one SAP member argued for retaining a
10X children’s safety factor because of
uncertainty in both the dosimetry in
subtle developmental effects and also
the available data on related pesticides
suggesting effects on nerve outgrowth at
cholinesterase inhibition levels of 20%
or less, and some effects at less than
10%. The commenter asserted that ‘‘this
position is supported by published
studies on the toxicity of a related
family of pesticides, the OPs, reporting
that exposures during fetal and newborn
life-stages affect diverse cellular
functions by mechanisms of toxicity
that are independent of cholinesterase
inhibition, and may occur at exposures
that elicit less than 20% inhibition
(Refs. 1, 2, 32, and 91). This is important
because while the systemic toxicity that
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results from cholinesterase inhibition is
reasonably well characterized, it does
not explain why rodents exposed preand post-natally seem to recover from
cholinesterase inhibition relatively
rapidly, yet display persistent and more
severe damage to the central nervous
system’’ (Ref. 90). The commenter also
pointed to what they assert is a
‘‘growing body of science for OPs
demonstrating that non-cholinergic
mechanisms of toxicity may be acting to
disrupt multiple brain targets’’ (Ref. 80).
According to the commenter, experts
have warned that ‘‘the fact that
alterations in neurodevelopment occur
with OPs below the threshold for
cholinesterase inhibition reinforces the
inadequacy of this biomarker
[cholinesterase inhibition] for assessing
exposure or outcome related to
developmental neurotoxicity’’ (Ref. 92).
When reviewing the EPA assessment of
the OPs, the commenter asserted that
the FIFRA SAP in 2002 had raised the
same concern, stating that ‘‘reliance on
a single biochemical assay to measure
brain damage may become problematic’’
(Ref. 41).
The Agency is aware of the available
studies noted by the commenters on the
OPs and has recently developed a draft
issue paper on many such studies as
part of its on-going review of
chlorpyrifos. The Agency cautions the
commenters against extrapolating these
studies to the NMCs. The Agency is not
aware of any studies in laboratory
animals where long-term behavioral or
other effects were noted with exposure
to NMCs. Moreover, the Agency is not
aware of any epidemiology study that
has associated NMC exposure with
adverse birth or neurodevelopmental
outcomes in children. Although OPs
and NMCs both inhibit AChE, the
chemical reaction at the active site
differs. This difference leads to different
time courses of toxicity and recovery.
Time to peak effect and time to recovery
for the NMCs is very rapid in
comparison to OPs. Moreover, once
reactivation of the AChE occurs, the
parent compound is no longer active. As
such, NMCs may not be present in the
body long enough to cause the types of
outcomes associated with OP exposure.
The Agency concludes that there are no
data which link NMC exposure,
including studies with carbofuran, at
relatively low doses to long-term
outcomes in juvenile animals or
children. Therefore, the Agency further
concludes that the OP studies noted by
the commenters have limited relevance
to the carbofuran human health risk
assessment.
c. Comments regarding consistency in
approach. One group of commenters
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claimed that the derivation of
carbofuran’s PoD and children’s safety
factor was inconsistent with EPA’s
analyses for other NMCs, including
aldicarb and carbaryl.
The commenters are incorrect. The
Agency’s recent hazard assessments of
carbaryl and aldicarb are each
consistent with OPP policies and
practice, as well as with the Agency’s
approach to the assessment of
carbofuran.
The commenters’ assertions regarding
aldicarb were based on an earlier
assessment. At the time the Agency
conducted the assessment to which the
commenters refer, the Agency was
unaware of the differences in sensitivity
between PND17 and PND11 animals.
Since EPA became aware of the
differences, EPA has required the
aldicarb registrant to conduct a CCA
study in PND11 rats; the Agency
anticipates the receipt of this study and
the companion range-finding and time
course studies in 2009. In the absence
of these data, EPA will apply the
statutory default children’s safety factor
to account for the additional sensitivity
of PND11 animals, because the Agency
lacks any data that could be used to
derive a reduced factor that EPA could
determine will be ‘‘safe for infants and
children.’’
Carbaryl was not evaluated any
differently than carbofuran. EPA’s
typical practice which was used in both
the carbofuran and carbaryl risk
assessments, is to use the central
estimate on the BMD to provide an
appropriate measure for comparing
chemical potency and to use the lower
limit on the central estimate (i.e.,
BMDL) to provide an appropriate
measure for extrapolating risk. This
approach is also consistent with the
NMC cumulative risk assessment (CRA)
and single chemical risk assessments for
multiple OPs.
In the case of carbaryl, the
commenters inappropriately focused on
the BMDL10s, instead of the BMD10s.
The more appropriate comparison is
between the BMD10s; the carbaryl brain
BMD10 is 1.46 mg/kg/day compared
with the RBC BMD10 of 1.11 mg/kg/day.
As such, the brain to RBC ratio is 1.3X.
Therefore, for carbaryl, the brain and
RBC AChE data are similarly sensitive,
and, when the tissues are similarly
sensitive, the Agency prefers to use data
from the nervous system tissue (i.e.,
brain) over data from a surrogate tissue
(i.e., RBC) (Ref. 108). Thus, for carbaryl,
the RBC AChE inhibition (a surrogate
for PNS AChE inhibition) and brain
AChE inhibition were basically
equivalent. This contrasts with the
situation with carbofuran where a
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significant difference in AChE
inhibition between the two is noted.
With regard to the carbaryl children’s
safety factor, the available brain and
RBC dose-response data in PND11 pups
include data from the lower end of the
dose-response curves. ORD’s
comparative AChE data with carbaryl
show that at the lowest dose at or near
20% inhibition in brain and RBC AChE
was observed. Although not ideal, the
carbaryl data provide information closer
to the benchmark response of 10%,
which allows for a reasonable
estimation of the BMD10 and BMDL10.
This is distinctly different from ORD’s
data with carbofuran in PND11 and
PND17 pups where 50% or greater RBC
AChE inhibition was observed at the
lowest dose.
C. Comments Relating to EPA’s
Exposure Assessment
1. Food exposures. One group of
commenters alleged that it is more
appropriate to apply USDA PDP residue
monitoring data from winter squash to
pumpkins, rather than residue data from
cantaloupes.
The Agency agrees with the
commenters. An appropriate residue
assignment has been made in the latest
dietary exposure assessment (Ref. 71).
The results of this assessment are
discussed below in Unit VIII.E.1.b.
One group of commenters asserted
that the measurable residues of
carbofuran in milk obtained by the
USDA PDP program should be
‘‘adjusted to a lower level because a
significant proportion of the milk
residues in the PDP database are due to
carbofuran use on alfalfa, which is no
longer permitted under the carbofuran
label.’’ The same commenters discussed
the results of an exposure assessment
that they apparently conducted, in
which they have reduced the residues
anticipated to be found in milk by some
unspecified amount.
Based on the commenters’ results,
their adjustments to milk residues
appear to have about a 50% reduction
on the risk estimates for the food only
results. While the commenters appeared
to have made the adjustments to milk
residues in most of their food-only
assessments, as well as their food+water
assessment, they did not: (1) Describe
the amount by which residues were
reduced; (2) present the DEEM-FCIDTM
input files detailing the residue inputs
used in their assessment; or (3) provide
to the Agency related data to support
any such reduction factor—information
that the Agency would need to accept
such an adjustment. Because of the lack
of any explanation or rationale, the
Agency attempted to determine how the
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commenters made the ‘‘adjustment to
residues’’ to account for the cancellation
of use on alfalfa. As described in the
Agency’s Response to Comments, EPA
was not able to reproduce the
commenters’ results, but did
approximate their reported results after
reducing milk residues by 77% (Ref.
112).
In actuality, it is difficult to ascertain
how the recent cancellation of
carbofuran use on alfalfa may affect
future residues found on milk (from
dairy feed items associated with corn,
potatoes or sunflowers). This is
especially true for milk since it is a
blended commodity. That is, milk may
be obtained from dairy cows from
multiple farms (i.e., a dairy
cooperative). The milk in any particular
PDP sample may have come from dairy
cows that might have had a diet that
contained substantial amounts of alfalfa,
or a diet that contained predominately
corn, or from multiple farms using
various combinations of feed that may
or may not have been treated with
carbofuran. In any case, the aggregate
pesticide use statistics do not support
the contention that most residues in
milk are (or have been) due to
carbofuran use on alfalfa—the USDA
and Proprietary use data indicate that
field corn has historically had a greater
overall amount of total carbofuran use
than alfalfa. Potatoes and sunflowers
rank 3rd and 4th.
The Agency included a summary of
dietary burdens for dairy cattle in the
dietary exposure analysis memorandum
documenting the higher dietary burden
involved with field corn feed stuffs
(Refs. 70 and 71). These two diets
represent a corn-based diet and an
alfalfa-based diet, accounting for
appropriate amounts of roughage and
protein. Based on these dietary burdens,
milk from dairy cows having a cornbased diet may have higher
concentrations of carbofuran than milk
from cows having an alfalfa-based diet
(Refs. 70 and 71).
The Agency notes that 3-hydroxy
carbofuran was detected in about 7.5%
of all PDP milk samples analyzed in
2004 and 2005 (7.5% = 110 detects in
1,485 samples).
Considering all of the various factors
involved with the PDP milk samples–
e.g., uncertainty regarding mixture of
feeds, pesticide use and corresponding
residues—the Agency finds no basis for
applying estimated reduction factors to
actual measured concentrations of
carbofuran residues found by the PDP
program in milk based on the
cancellation of alfalfa uses. In the
absence of supporting data the Agency
has no scientific basis for making the
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commenters’ recommended changes to
the dietary exposure assessment with
regard to carbofuran residues in milk.
Certainly, the commenters’ have failed
to provide any scientific justification for
their position. Moreover, since the
Agency was unable to reproduce the
commenters’ results, EPA could not
make the suggested adjustment, even if
they had provided details on the exact
adjustment figure they wanted EPA to
apply.
One group of commenters raised
concern that PCT estimates used by the
Agency for bananas, potatoes, and milk
are conservatively high.
In response to those comments, the
Agency reviewed its PCT estimates for
the two crops and revised its PCT
estimates for bananas from 78% to 25%.
The Agency also developed a regional
PCT estimate for potatoes of 5% based
on projected limited use in the
Northwest, and has applied these
estimates in its revised dietary risk
assessment (Ref. 71). The Agency also
applied a 5% CT for milk, based on the
PCT for potatoes, which is the feed stuff
with the highest PCT. Further
discussion regarding the Agency’s
previous and revised PCT estimates can
be found in References 71 and 122. As
discussed below in Unit VIII.E.1.b.,
these adjustments had relatively modest
effects on the dietary exposure
assessment of those crops the registrant
now seeks to maintain.
Some commenters claimed that the
Agency acted inconsistently in the way
in which it conducted its ‘‘Eating
Occasion Analyses’’ to account for the
extent to which individuals recover
from AChE inhibition between exposure
events. The commenters claimed that
the Agency analyzed aldicarb and
carbofuran differently, and came to
different conclusions concerning the
effects of reversibility for these two
compounds.
The commenter’s assertion that the
Agency came to different conclusions
concerning the effects of reversibility for
aldicarb and carbofuran is incorrect.
EPA discusses the Eating Occasion
Analysis it conducted for carbofuran in
greater detail in Unit VIII.E.3. below and
in its Response to Comments document
(Ref. 112).
The Agency concurs with the
commenter that ‘‘there is no basis for
treating aldicarb-treated potatoes
differently from carbofuran treated
potatoes.’’ The commenters’ assertions
regarding what the Agency has or has
not done with respect to the Eating
Occasion Analysis (i.e., ‘‘reversibility’’)
to some extent reflects confusion
resulting from the several assessments
the Agency has produced since 2006.
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Since that period, EPA has conducted
several risk assessments, based on the
tolerances FMC has variously indicated
that it wished EPA to retain. EPA notes,
for clarity, that for the proposed rule,
EPA conducted a risk assessment of ‘‘all
registered carbofuran uses’’ that did
incorporate the concept of reversibility
(i.e., ‘‘persisting dose’’). The proposed
rule also contained an assessment of the
subset of ‘‘6 domestic uses’’ that EPA
believed the registrant primarily wished
to retain, which did not incorporate this
concept because these were not the only
crops on which carbofuran was legally
permitted to be used. However, now
that the registrant has cancelled all but
four domestic food uses, the Agency’s
risk assessment of all the remaining uses
accounts for reversibility, performed
using the same DEEM-based Eating
Occasion Analyses previously used for
both carbofuran and aldicarb.
In support of their contention, the
commenters took an observation in the
aldicarb IRED that exposures did not
pass at the per capita 99.9th percentile,
but were equal to the aPAD at a lower
percentile—out of context, and used
that statement to infer that the Agency
regulates at this lower percentile. This
is incorrect. The aldicarb registrant
agreed to a number of risk mitigation
measures that brought the aggregate
risks to below the aPAD at the 99.9th
per capita percentile. The registrant
agreed to modify the aldicarb label to
require a 500–foot well set back for
aldicarb use on peanuts (GA soil type),
since aggregate exposure at the per
capita 99.9th percentile for infants
continued to exceed the level of concern
even after reversibility was accounted
for in the Eating Occasions Analyses
under the 300–foot well set back
scenario.
In summary, the Agency did not
analyze aldicarb exposure and risk any
differently than it analyzed carbofuran
exposure and risk; the ‘‘persisting dose’’
concept was used in both assessments.
Mathematically and conceptually, the
calculations of the adjustment for
reversibility are the same for both
exposure assessments. Any differences
in the conclusions EPA drew from the
analyses are attributable purely to the
factual differences between the two
compounds. The reduction in
‘‘persisting dose’’ is slightly greater for
aldicarb due to its quicker recovery
times (2–hour half-life for aldicarb), but
in both cases, the Agency applied the
same procedure to account for
reversibility. The qualitative results for
the food only and food + water
scenarios presented in Unit VIII.E.,
produce similar qualitative results: in
both cases, accounting for reversibility
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between eating occasions for food alone
results in relatively modest reductions
in the ‘‘persisting dose’’ at the per capita
99.9th percentile, and a relatively large
effect on exposure for water alone, or
food+water, when water is the
predominant contributor (73 FR 44864).
These Eating Occasion Analyses support
the Agency’s position that reversibility
has a relatively greater effect for
drinking water exposures than for food
exposures.
One group of commenters claimed
that the Agency should have calculated
the effects of carbofuran exposure based
on the ‘‘persisting dose’’ over the 1,440
person-minutes rather than on the
person-days that are currently used by
the Agency.
In effect, the commenters suggest that
the ‘‘persisting dose’’ should be
calculated over the entire 1,440 minutes
of each modeled person-day (1,440
minutes/day = 24 hrs × 60 minutes/hr).
EPA has rejected this approach for a
number of reasons. While the
commenters’ person-minute approach
may be an attempt to capture multiple
measures with one statistic, it does not
properly capture the Agency’s concern
regarding peak inhibition, and the
commenters’ assertion that the Agency
should use all person-minutes to
calculate the per capita 99.9th
percentile is misguided at best since: (1)
It does not reflect a comparison to peak
inhibition which is what the Agency
believes is the most appropriate and
relevant toxicological measure and (2) it
produces risk estimates that are entirely
dependent upon the time of day at
which consumption occurs. Hence, this
approach will obtain different values
depending upon the reported time of
consumption even if exposure occurs on
a single eating occasion. The
commenters suggested approach does
not appear to capture peak inhibition, or
other temporal aspects of cholinesterase
inhibition (e.g., duration over which
inhibtion exceeds 10%). EPA’s
Response to Comments document
provides a further explanation of this
issue and details why the Agency’s
approach is consistent with the
identified endpoint (peak inhibition)
and the corresponding point of
departure (BMDL10 that serves as the
basis for calculating a %aPAD (Ref.
112).
2. Drinking water exposures. As part
of their comments on the proposed
tolerance revocation, FMC submitted a
revised label with use restrictions
intended to address drinking water
contamination. These measures include
eliminating a number of crop uses,
prohibiting use in a broad swath of areas
with potentially vulnerable soils, and
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requiring application buffers in other
areas. In addition to these label
modifications, the registrant, along with
two other commenters, submitted
comments summarizing the results of
risk assessments they had previously
submitted, and the results of new risk
assessments they claim to have
conducted. The commenters did not
provide to the Agency either the new
risk assessments they claim to have
conducted, or the underlying support
documents for those assessments,
including the ‘‘national leaching
assessment’’ or the ‘‘crop-specific
evaluation of use patterns and the
registrant’s proposed non-application
buffers using the PRZM-EXAMS
model.’’ FMC concludes that their label
revisions have a pronounced effect on
dietary risk and result in ‘‘exposure that
even fit within the risk cup that EPA has
proposed.’’
EPA has reviewed the September
2008 proposed label modifications, and
a synopsis of the Agency’s conclusions
are summarized below in this Unit.
More detailed analyses can be found in
EPA’s Response to Comments (Ref. 111).
In addition, EPA’s revised risk
assessment, discussed below in Unit
VIII.E., is based on this revised label.
The label revisions leave two national
food uses on the label, corn and
sunflowers, and two regional food uses,
potatoes in the northwest and pumpkins
in the southeast. EPA has assessed the
impact of all of these remaining uses,
taking into consideration all label
restrictions, and has concluded that
remaining uses may result in
concentrations in some locations that
are similar in magnitude to those
estimated previously (Refs. 57, 58, 60,
and 62).
a. Comments relating to EPA’s ground
water analyses. One group of
commenters alleged that ‘‘[g]roundwater
sources are vulnerable to carbofuran
leaching only under certain conditions,
namely where permeable soils (e.g.,
areas with soils greater than 90% sand
and less than 1% organic matter), acidic
soil and water conditions, and shallow
water tables predominate (e.g., where
ground water is less than 30 feet).’’ The
commenters claim that these conditions
are rare in areas where carbofuran is
used. They further assert that in ‘‘most
states where carbofuran is used, less
than 2% of the entire surface areas
possess sandy soil texture’’ and that
‘‘low pH conditions are not found in
carbofuran use areas allowed under the
registrant’s amended label’’.
EPA disagrees that the commenter’s
specific criteria define 100% of
conditions where ground water sources
are vulnerable to carbofuran leaching.
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No comprehensive analysis was
provided evaluating how they reached
this conclusion. Although these criteria
appear on the revised carbofuran label
restricting use, the spatial extent of the
label restrictions is not provided. As
discussed in greater detail in EPA’s
Response to Comments, the information
provided as part of FMC’s comments
(primarily maps depicting areas
identified as vulnerable) is not sufficient
to allow the Agency to evaluate their
claim (Ref. 111). For example, water
table depth can vary with the time of the
year, depending on such factors as the
amount of rainfall that has occurred in
the recent past, and how much
irrigation has been removed from the
aquifer. It is difficult to determine how
the depth to the water table varies
throughout fields, and the definition of
a ‘‘shallow’’ water table is indeterminate
(e.g., less than 30 feet). Furthermore, the
vulnerability associated with depth
varies with location; for example,
deeper aquifers may be more vulnerable
in areas with greater precipitation and
rapid recharge.
While the assertion regarding percent
sand is in part true, it is misleading.
While many states have only small areas
of sandy soils, some states have quite
extensive areas. For example, according
to FMC’s own assessment of high use
states (Ref. 8), Texas had 4.2% sand,
Michigan had 21.3% and Nebraska had
26.3%. In addition, this statement
implies that soils that are sandy
textured define the universe of soil
textures that are vulnerable to leaching.
It is possible that more fine-textured
soils, for example sandy loams or silt
loams, could also be sufficiently
permeable to result in carbofuran
leaching as it has not been established
how much of a reduction in leaching
might occur as texture becomes finer.
Furthermore, finer textured soils tend to
have more cracks and root channels and
thus are more prone to preferential flow.
EPA also disagrees that the
commenters have provided sufficient
information to support their general
claim that only high pH conditions (pH
above 7) exist in all the areas in which
carbofuran could be used under FMC’s
September 2008 revised label. There is
considerable spatial variability in pH
conditions for both the subsurface and
surface environments. The pH has a
large effect on the persistence of
carbofuran as, for more acidic
conditions, the hydrolysis half-life
increases from 28 days at pH 7 to years
or more at pHs less than 6. Further, the
results of EPA’s corn ground water
simulations (bounded by the high and
low pH values of the aquifer system
underlying the scenario location)
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showed that a relatively small (0.5)
decrease in pH from 7 to 6.5 resulted in
an increase by 4 orders of magnitude in
the 1–in–10–year peak concentration of
carbofuran. EPA has presented its
assessment of the newly submitted label
in its Response to Comments document
and these issues are addressed in more
detail there (Ref. 111).
Accordingly, the criteria the
commenters suggest are not sufficient to
prohibit use in all areas that could
reasonably be expected to be vulnerable
to ground water contamination from
carbofuran use. EPA’s assessment
identifies an example of one area where
carbofuran use would still be permitted
on the proposed labels; an additional
scenario for the updated ground water
modeling provided in Reference 111
was based on this location in the southcentral region of Wisconsin. This
scenario is in no way unique; EPA
expects that other similar sites exist in
other locations where carbofuran could
still be used across the United States.
One group of commenters claimed
that the most recent label modifications
‘‘has ensured that carbofuran use will
not occur in these vulnerable areas by
removing them from the label.’’ They
support this by reference to a map of the
carbofuran use areas in 2005, that
identifies counties with DRASTIC
scores as high as that of the location of
the prospective ground water study
(PGW study) conducted by FMC in
Maryland, defining that combination as
vulnerable.
DRASTIC is a USEPA model that was
developed as a screening tool to identify
ground water resources that are
‘‘generally vulnerable to the release of
contaminants at the surface * * *.’’
(Ref. 6). The commenters indicate that
the map provided in their comments
shows counties ‘‘identified as
vulnerable,’’ based on DRASTIC scores
that exceed 185, and 2005 carbofuran
usage, although the map’s level of
resolution is insufficient to provide
more than a general impression of the
location of ground water classified as
vulnerable. In FMC’s September 2008
label revisions, FMC expanded the areas
where carbofuran cannot be applied,
apparently because of ground water
concerns. The specific criteria that FMC
used to determine these further
locations were not provided to the
Agency. Nevertheless, EPA does agree
that ground water in the Atlantic
Coastal Plain is vulnerable, and that
FMC has restricted use in those areas.
However, EPA does not agree with the
premise that only locations with
DRASTIC scores as high as that of the
location of the Maryland PGW study are
those that require mitigation. DRASTIC
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scores as high as those identified by the
commenters would indicate that the site
is located in a generally sensitive or
vulnerable area. The Agency agrees that
the DRASTIC tool can be used to
generally identify areas that may be
vulnerable to pesticide contamination.
However, DRASTIC is somewhat dated
(1987), and better methods currently
exist that can take advantage of
geospatial data at a more refined level
than the county level used here. FMC
apparently agrees with this criticism
since they subsequently developed the
‘‘National Leaching Assessment’’ as part
of their comments on the proposed
tolerance revocation, to replace their
earlier DRASTIC assessment.
Importantly, EPA believes that FMC
has used an inappropriate criterion for
determining whether a site is
vulnerable–that it has the same or
greater vulnerability (based on a
DRASTIC score greater than 185) as that
of the Maryland PGW study site. The
maximum concentration at the
Maryland PGW site, adjusted to
simulate an application rate of 1 lb/acre,
was 21 μg/L this exceeds acceptable
exposure thresholds by factors of 10 to
20 (Ref. 71). Thus, sites that are less
vulnerable (e.g., deeper aquifer, high
soil sand content, higher organic
matter), with lower DRASTIC scores,
could still be prone to have carbofuran
concentrations exceeding acceptable
exposures.
Further, the commenters provide no
detail on the specific data used to
generate their DRASTIC estimates. In
footnote 39 of their comments they
indicate that ‘‘Data to support these
[DRASTIC] inputs were primarily
collected from state-wide, statistically
designed studies conducted by state and
federal agencies (primarily the National
Water Quality Assessment Program
(‘‘NAWQA’’), but also state surveys and
other state and federal agricultural data,
where NAWQA data were not
available.’’) Given EPA’s general
reservations about their approach, EPA
cannot conclude that the commenters’
assessment is scientifically supportable
or useful, without information on the
sources of the data, the geographic scale
of the data, or how that input data was
prepared for the analysis.
One group of commenters assert that
their ‘‘assessments revealed that the
soils and water pHs are generally higher
in those states in the Midwest and
Northwest where most carbofuran is
used, providing further confirmation
that conditions that favor carbofuran
leaching in those areas do not exist.’’
Since the commenters have not
provided all of the assessments they
appear to have conducted, EPA is
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unable to confirm whether their
assessments do in fact support their
contention. However, as a general
matter, none of the previously
submitted assessments provided a
comprehensive analysis of the
distribution of soil and water pHs for
the Midwest, Northwest or any other
region of the country where carbofuran
use would be permitted on the
September 2008 label, nor have the
commenters provided such an analysis
with their most recent comments.
Further, the available scientific
information does not support their
contention.
EPA examined readily available data
with respect to ground water and soil
pH in order to evaluate the spatial
variability of pH. Data from the United
States Geological Survey (USGS) and
other readily available sources do not
necessarily encompass the entire range
of ground water pH values present
within a state. This is especially true for
shallow ground water systems, where
local conditions can greatly affect the
quality and characteristics of the water.
Also, pH in a water body can be higher
or lower than the tabulated average
values. In addition, average ground
water pH values for a given area do not
truly characterize the area’s temporal
and especially spatial heterogeneity.
This can be seen by comparing
differences in pH values between
counties within a state, and noting that
even within a county individual wells
will consistently yield ground water
with either above- or below-average pH
values for that county. The ground
water simulations in Reference 111
Appendix I reflect variability in pH by
modeling carbofuran leaching in four
different soil and subsurface pH
conditions (pH 5.25, 6.5, 7.0, and 8.7),
representing the range in the aquifer
system in that area. This range also
approximates the pH range of natural
waters in general. The results of the
ground water simulations for corn use
showed that a relatively small (0.5)
decrease in pH from 7 to 6.5 resulted in
an increase in the 1–in–10–year peak
concentrations of carbofuran in ground
water of 4 orders of magnitude.
FMC summarized the results of their
‘‘National Leaching Assessment’’ which
used PRZM and ‘‘databases specifically
created to provide access to all
necessary inputs for a national scale
PRZM modeling.’’ They claim that after
accounting for the use prohibitions on
their September 2008 label, the
maximum 1–in–10–year peak
concentrations in all potential
carbofuran use areas is 1.2–1.3 ppb,
while expected concentrations in most
areas covered by this assessment are
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below 1.0 ppb. They claim to have
modeled a single application to corn at
1 lb/acre—which is the application rate
on the September 2008 labels applicable
to the rescue treatment on corn—and
simulated ground water recharge and
lateral flow. They assert that their
estimate that 1–in–10–year peak
carbofuran concentrations will not
exceed ‘‘~1 ppb’’ is consistent with
EPA’s NMC CRA.
Neither the ‘‘National Leaching
Assessment,’’ nor the ‘‘National
Pesticide Assessment Tool’’ upon which
the assessment appears to have been
based, were submitted to EPA for
review, therefore EPA cannot comment
further on the methodology for reaching
these conclusions, or indeed, whether
the assessment actually supports their
claims. Based on the information
provided, EPA cannot confirm or negate
the assertion that there is no overlap
between use and all potentially
vulnerable ground water, as the
information provided does not enable
the Agency to evaluate this claim.
EPA’s assessment of the impacts of
FMC’s September 2008 label differs
significantly from the commenters’
summary conclusions; these differences
are addressed more completely in EPA’s
Response to Comments document, and
are based on application by FMC of
unsupported factors (Ref. 111).
Part of EPA’s assessment of ground
water exposure for the proposed
tolerance revocation was based on
simulation modeling using PRZM for
corn grown on the Delmarva Peninsula
in Maryland receiving an annual
application of 1.0 lb/acre-1. The 1–in–
10–year peak estimated drinking water
concentration (EDWC) was 30.8 μg/L.
FMC’s assessment of the same label
resulted in their estimate of
concentrations up to 22.7 μg/L. The
September 2008 labels prohibit
application at sites in the Atlantic
Coastal Plain with similar vulnerability
to the Delmarva site. However, EPA
believes that the study and the resulting
scenario derived from this study remain
relevant for other areas with similar
conditions, where use remains. Based
on the September 2008 labels, EPA has
concluded that there are locations in the
United States where carbofuran could
still be applied, and in which ground
water concentrations are estimated to be
high enough to cause concern. For
example, simulations of corn grown the
central sands region of Wisconsin had
an estimated 1–in–10–year peak
concentration of 16 μg/L at pH 6.5 and
284 μg/L at pH 5.25, both of which are
in the pH range for aquifers in this area
(Ref. 115). For higher pH’s in that area,
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estimated carbofuran concentrations
were generally close to zero.
As noted the ‘‘National Leaching
Assessment’’ has not been provided to
EPA for review, and consequently, the
Agency cannot determine model input
parameters or check model algorithms.
In many cases, model inputs cannot be
directly inferred from values in the
available weather and soil databases
(e.g., NOAA SAMSON weather datasets,
NRCS Soil Datamart) (Refs. 75 and 93).
Methods used by FMC to select or
calculate values for model input from
these databases were not described. The
only model output provided was in map
format. While maps are useful for
interpreting results, maps alone are
insufficient for a thorough evaluation of
the assessment, in part because of their
spatial resolution. Further, the maps
provided by FMC do not represent all
carbofuran use patterns. For example,
Figure IV-2 on page 42 of FMC’s
comments does not address the granular
use patterns and proposed label
prohibitions.
FMC contends that their results are
consistent with the NMC CRA, but this
is untrue. The NMC CRA examined
carbofuran at two sites, northeast
Florida and the Delmarva Peninsula. In
Florida, concentrations were found to be
below levels of concern because of high
pH, but in Delmarva, both in corn and
in melon scenarios EPA estimated that
90% of daily concentrations could be as
high as 20.5 and 25.6 μg/L, respectively.
These values are greater than the 1 μg/
L that FMC claims is the maximum
expected 1–in–10–year peak
concentration. The claim that EPA’s
modeling fails to address use patterns
‘‘changing naturally over time’’ is
ambiguous, and EPA cannot evaluate
any inputs included by FMC to address
this in their own modeling, if indeed
they did so. Because of these
deficiencies, EPA is unable to verify or
evaluate the results of FMC’s analysis
and can reach no conclusion on its
validity or utility.
FMC asserts that ‘‘EPA’s approach is
not consistent with the Agency’s
treatment of other carbamates. For
example, in the aldicarb assessment,
EPA used monitoring data to develop
eight different region-specific scenarios,
‘based on broad similarity in compound
usage, crop type or soil conditions’, and
taking a ‘single maximum sample result
detected within [each] region during the
last 5 to 10 years to represent ground
water concentrations within that entire
region.’ The Agency estimated drinking
water concentrations for risk assessment
purposes by accounting for the effect of
ground water mitigation measures (i.e.,
setbacks).’’ In footnote 53 of their
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comments, FMC apparently quotes from
the aldicarb IRED ‘‘[H]igher residue
values that may have resulted from
historical use if aldicarb in vulnerable
areas were excluded.’’
EPA disagrees with FMC’s assertion
that the carbofuran drinking water
exposure assessment was not consistent
with other carbamates, particularly
aldicarb. In both cases, Tier 2 modeling,
using the PRZM and EXAMS models,
was used to characterize surface water
exposure and in both cases available
monitoring data were summarized. For
carbofuran, ground water exposure was
characterized using a combination of
targeted and non-targeted monitoring
data, a PGW study, and Tier 2 modeling,
through the course of two RED chapters
and several post-RED drinking water
exposure assessments. For aldicarb, two
different ground water exposure
assessments were conducted for the
initial and the final IRED chapters. In
the comment quoted above, FMC has
described the process used for the
aldicarb risk assessment supporting the
initial aldicarb IRED dated May 12,
2006.
The second aldicarb ground water
exposure assessment supported the
revised dietary exposure assessment in
February 2007 (Ref. 48). This is a more
refined assessment, which relies on
simulation modeling for ground water
using PRZM in places vulnerable to
ground water leaching where aldicarb
was used. While FMC has correctly
quoted ‘‘[H]igher residue values that
may have resulted from historical use of
aldicarb in vulnerable areas were
excluded,’’ the implication that this is
different from EPA’s evaluation of
carbofuran is not correct. For example,
the carbofuran IRED describes
monitoring in New York where
carbofuran use was canceled in 1984,
and where detections of carbofuran
continue. The carbofuran IRED did not
use the high concentrations of
carbofuran measured in drinking water
wells in that study, up to 178 ppb,
which resulted from historical use of
carbofuran. In both cases, historical
monitoring data were described (Refs.
10 and 47), but endpoints used for
ground water exposure assessment were
only based on monitoring relevant to
use patterns current at the time of the
assessment. For aldicarb, the Agency
utilized retrospective monitoring data
collected after 1990. For carbofuran, the
most relevant monitoring data set was
the Maryland PGW study. Because of
the design of that study, results could be
adjusted to represent current use
patterns.
The aldicarb assessment took into
account the impact of well setbacks on
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estimated concentrations in ground
water modeling conducted in 2007. The
carbofuran modeling in EPA’s most
recent assessment also took into account
the impact of well setbacks on estimated
concentrations in ground water.
Previous carbofuran assessments did not
assess the impact of well setbacks, as
setbacks were not included on a
proposed carbofuran label until
September 2008.
In summary, both assessments for
aldicarb and carbofuran used a
combination of monitoring data and
simulation modeling for the drinking
water exposure assessments, simulating
the impact of mitigation measures on
the labels.
b. Comments relating to EPA’s surface
water assessment. One group of
commenters summarized conclusions
based on a previously submitted surface
water assessment based in Indiana.
Specifically, they claim that: (1) EPA’s
standard index reservoir scenario
overestimates surface water
concentrations compared with
‘‘expected concentrations in actual
Indiana community water system (CWS)
where carbofuran is used,’’ (2) ‘‘Indiana
CWSs bracket the Index Reservoir
scenario (i.e., some reservoirs are more
sensitive and others are less); however,
in each instance the expected
concentrations in the Indiana CWSs
were significantly less than those
estimated by the Index Reservoir
scenario.’’
EPA has reviewed the Indiana surface
water assessment submitted by the
registrant previously, and has provided
comments on that submission (Ref. 59).
FMC’s first major conclusion from this
study is that ‘‘EPA’s standard index
reservoir scenario overestimates surface
water concentrations compared with
expected concentrations in actual
Indiana CWS where carbofuran is
used.’’ The Index Reservoir is designed
to be used as a screen, and as such,
represents watersheds more vulnerable
than most of those which support a
drinking water facility. It is thus
protective of most drinking water on a
national basis. That, however, does not
mean that EPA believes this scenario
overestimates concentrations for all
drinking water reservoirs. While EPA
agrees that it is an appropriate
refinement to simulate local and
regional watersheds, and has in fact
done so (Refs. 58, 60, 61, 62, and 111),
EPA does not believe that FMC’s
assessment refutes the concern for
carbofuran occurrence in Indiana
surface water source drinking water.
Even accepting the Indiana surface
water assessment at face value (which
we do not), FMC estimated 1–in–10–
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year peak concentrations at some
facilities as high as 6.88 μg/L, and these
concentrations substantially exceed the
concentration they now claim represent
reasonable estimates.
FMC’s second major conclusion has
two parts: (1) That the vulnerability of
the Indiana CWSs ‘‘bracket’’ the Index
Reservoir, and (2) that the
concentrations they estimated for these
locations are significantly less than EPA
estimates. Regarding the vulnerability of
the CWS, FMC’s assessment describes
their approach for modifying the
parameters of the Index Reservoir
scenario to represent 15 reservoir-based
watersheds in Indiana cropped in corn.
FMC indicates they have included data
that, based on our review of these
submissions, are not available at the
appropriate scale to determine all sitespecific parameters. FMC modified
some of the parameters based on
available data to represent more
localized conditions that are more or
less vulnerable than for the Index
Reservoir. From FMC’s description,
their approach is similar to the methods
that EPA uses to develop new scenarios,
in that soil and weather data are varied
in order to represent different locations.
However, for other parameters, EPA
believes FMC’s modifications are
inconsistent with fundamental
assumptions upon which the modeling
is based. In submissions made to the
Agency, FMC has described that they
have made modifications to scenarios to
reflect local conditions of each CWS in
Indiana by modifying the soil, and
weather data and altering the ratio of
watershed drainage area to the reservoir
capacity (Ref. 120). EPA agrees that soils
and weather data can be modified to
reflect conditions at local watersheds.
However, other modifications FMC
made cannot reasonably be justified for
all scales without contradicting the
assumptions upon which the modeling
relies (uniformity of soils, equal and
simultaneous movement of runoff to the
reservoir, and uniform weather across
the watershed).
FMC also calculated their own PCAs
for this assessment. The PCA is the
fraction of the drinking water watershed
that is used to grow a particular crop.
EPA uses the maximum PCA calculated
for any HUC8 (8-digit hydrologic unit
code) watershed in exposure estimates.
HUC8s are cataloging units for a
watershed developed by the USGS and
are used as surrogates for drinking water
watersheds. The process by which PCAs
were developed and how they are used
by the Agency has been vetted with the
FIFRA SAP (Refs. 37 and 38). The
Agency has developed PCAs for four
major crops, corn, soybeans, wheat, and
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cotton, and uses a default PCA based on
all agricultural land for characterizing
other crops. The Agency has also
calculated regional default PCAs for use
in charactering regional differences in
drinking water exposure. EPA limited
further development of PCAs for
additional crops, as a result of FIFRA
SAP peer review comments, which
concluded that data were not available
at the appropriate scale to do so. In their
assessment, FMC estimated PCAs for
specific watersheds in Indiana. FMC did
not provide sufficient detail in their
descriptions of how they calculated
PCAs to enable EPA to assess their
validity.
Regarding FMC’s statement that the
concentrations they estimated for these
locations in Indiana are significantly
less than EPA estimates, EPA has
determined that FMC has included an
adjustment factor to account for the
percent of a crop that is treated with
carbofuran. As discussed in more detail
below, although EPA does evaluate such
factors in conducting ‘‘sensitivity
analyses’’ to understand the impact that
various PCT assumptions may have,
EPA does not believe that it is
appropriate to base its aggregate risk
estimates on PCT within watersheds.
This is because data and/or methods are
not available that would allow EPA to
develop PCT at the watershed scale with
the necessary level of confidence to
allow EPA to make a safety finding. The
PCT factors that FMC generated would
lead to significantly lower
concentrations than those estimated by
EPA.
One group of commenters reiterated
conclusions from a previously
submitted surface water assessment, the
‘‘Nationwide CWS Assessment.’’ Based
on this assessment, the commenters
allege that: ‘‘use intensity in the
majority (~ 75%) of carbofuran use
areas is less than 2.1 lbs a.i./sq. mi,’’ and
that based on this use intensity, the
commenters’ modeling results in surface
water concentrations ‘‘that are not above
the applicable level of concern.’’ The
commenters also claim that, because
areas with historical use intensities
greater than 2.1 lbs. a.i./sq. mi may be
more sensitive to carbofuran, the
registrant proposed no-application
buffers which effectively mitigate the
risks in these areas.
EPA has reviewed FMC’s
‘‘Nationwide CWS Assessment’’
previously and has provided a response
to the submission (Ref. 59). It is worth
noting that FMC only assessed use
intensity for reservoir-based systems
and excluded use intensity for all
stream- or river-based systems from
their assessment.
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23063
Similar to the Indiana CWS study
discussed in the previous response, this
study relied on county-level usage
estimates to estimate use intensity. This
value was subsequently used in
modeling to draw their second major
conclusion, which FMC states formed
the basis for their decisions to propose
no-application buffers to mitigate risks
in those areas, their third conclusion. To
respond to this comment, therefore, it is
important to understand how FMC
arrived at these use intensities. Their
methods have been poorly described in
statements, but EPA was able to piece
together a general sense of the methods
from the various reports FMC provided
to EPA.
To summarize, for FMC’s National
CWS Assessment, the registrant relied
on sales data to generate its use
intensity estimates, but these data were
not provided to EPA. The method FMC
used to generate the county-level use
estimates from the sales data is not
described. The actual county level use
estimates used in the use intensity
calculations were not provided. There is
a limited description indicating only
that the county level use estimates were
apportioned to different crops, but the
method FMC used to do this was not
provided. FMC used an objective
method to group the county-level use
estimates into 5 classes, but the method
is only briefly described. Thus, because
EPA cannot determine how use
intensity was estimated, the Agency
cannot determine if the conclusions
made in the National CWS Assessment
are justified by the underlying data.
Since carbofuran sales data used for
FMC’s assessment were not provided in
the document submitted to EPA, or with
the comments to the SAP (Ref. 33), or
with the comments on the proposed
tolerance revocation, it was not possible
for EPA to determine if FMC’s claim
that 75% of the use areas have a
carbofuran use intensity of less than 2.1
lbs a.i./sq. mi., is accurate. Use intensity
data in maps provided in their
comments appear to indicate that
carbofuran use varies year by year,
however, it is also not clear for which
year or years FMC is making this
conclusion.
EPA agrees that using lower rates of
carbofuran will result in lower
exposure. But EPA does not agree that
it has been demonstrated that a use
intensity below 2.1 lbs a.i./sq. mile will
assure that surface water concentrations
will be below the applicable level of
concern. The National CWS Assessment
does not justify such a finding, nor has
any other assessment that has been
submitted to date. The Agency modeled
use rates for carbofuran on corn based
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on the label proposed in September
2008 and results are described in Unit
VIII. and in Reference 111.
EPA is equally unable to confirm the
claims that the no-application buffers on
the September 2008 labels will
adequately mitigate the risks ‘‘in areas
with historical use intensities greater
than 2.1 lbs a.i./sq. mi.’’ On the
September 2008 labels, FMC included
buffers of 300 feet on water bodies in
Kansas, and 66 feet around water bodies
in other places, but EPA cannot evaluate
how these buffers relate to areas where
carbofuran use intensities exceeded a
specific value, for all of the reasons
stated above. EPA did, however, model
the effects from the buffers proposed on
the September 2008 labels and found
that these buffers reduce exposure by
5.1% (33.5 to 31.8 μg/L) for corn in
Kansas with a 300 foot spray drift buffer
and 4.7% (29.9 to 28.5 μg/L) for corn in
Texas with a 66 foot spray drift buffer.
These results are described in more
detail in Reference 111, Appendix I.
One group of commenters claimed
that EPA’s modeling assumptions are
‘‘implausible for most surface water
systems across the country.’’ They
specifically criticize the following
assumptions: (i) ‘‘a lack of inflow to or
meaningful outflow from the CWS; (ii)
instantaneous and homogeneous mixing
throughout the entire CWS; (iii) all
receiving water directly abut the treated
field and there are no buffers; and (iv)
a lack of variation in pH across water
bodies in the United States.’’
All of the commenters’ claims are
incorrect. Their first contention, that
EPA assumes that there is a lack of
inflow to or meaningful outflow from
the CWS, is incorrect. EPA’s modeling
assumes the inflow to the reservoir is
equivalent to the mean annual runoff
into the reservoir. Since the EXAMS
model is a steady state model, outflow
will equal inflow to the reservoir.
Assuming that outflow equals inflow
and that mixing occurs instantaneously
throughout the reservoir are reasonable
assumptions; the commenters made the
same assumptions in their modeling.
Secondly, the commenters believe the
assumption that there is instantaneous
and homogeneous mixing throughout
the entire reservoir supporting the
community water supply is implausible.
This is a reasonable assumption for
small, un-stratified reservoirs like the
Index Reservoir. Also, the commenters
made the same modeling assumption in
their modeling in the Indiana CWS
study, and apparently in the modeling
done in support of their submitted
comments on the proposed tolerance
revocation. Thirdly, the commenters
believe it is implausible to assume that
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all receiving water directly abuts the
treated field, and there are no buffers.
This claim is also not accurate. Until the
September 2008 label, carbofuran labels
did not require buffers, thus, EPA did
not have reason to assess the impact of
buffers. EPA’s assessment of FMC’s
September 2008 labels considered the
impact of the buffers (see Ref. 111,
Appendix I). Finally, FMC contends that
EPA’s assumption of pH was
implausible. EPA disagrees; EPA’s
assessment was based on the middle of
the range of pH occurring in natural
waters. In addition, as a sensitivity
analysis, EPA assessed exposure
assuming a high pH, representative of a
high end pH of waters in Western
Kansas, as well as the high end of
natural waters in general.
One group of commenters summarizes
conclusions from a previously
submitted assessment based on the
Watershed Regression for Pesticides
(WARP) (Ref. 117) model. They claim,
based on this assessment that ‘‘[t]he
maximum 1–in–10 day estimated
concentrations of carbofuran at the 90th
percentile level in Illinois, Indiana.
Iowa, and Nebraska (where a majority of
current carbofuran is located) will be
less than or equal to 0.3687 ppb.’’ They
claim that WARP’s 1–in–10–day
estimates are a reasonable surrogate for
the 1–in–10–year peak concentrations
typically relied on by the Agency
because ‘‘the extreme nature of a 1–in–
10–year event (i.e., severe rain) would
result in dilution effects that cancel out
any increased loading.’’ They also allege
that the differences in surface water
concentrations estimates in their
assessment and EPA’s modeling are due
to their use of ‘‘actual county-level
usage data.’’
EPA has reviewed the WARP
assessment previously and has provided
comments on the submission (Refs. 59
and 117). The WARP model has not
been fully evaluated for quantitative use
in exposure estimation by the Agency,
although it has been preliminarily
reviewed by the SAP (Ref. 39). EPA
used WARP to select monitoring sites
for the herbicide atrazine, based on
predicted vulnerability of watersheds to
atrazine runoff within the corn/sorghum
growing regions. EPA presented its
approach to the FIFRA SAP in
December 2007. The SAP report
concluded that ‘‘WARP appears to be a
logical approach to identify the areas of
high vulnerability to atrazine exposure,’’
endorsing EPA’s use of this tool only for
atrazine, and for the limited purpose of
designing a monitoring program. The
SAP noted that the most important
explanatory value with WARP was use
intensity, and underscored the
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importance of having the most accurate
data for this parameter.
WARP is a regression model
developed by the USGS to estimate
concentrations of the pesticide atrazine
in rivers and streams. As a regression
model, it is based on monitoring data,
in this case from 112 USGS National
Ambient Water Quality Assessment
(NAWQA) monitoring locations. WARP
does not directly estimate daily
concentrations, but predicts the percent
of the time in a randomly selected year
that concentrations of the pesticide are
less than a specified value, with a
specified level of confidence. USGS
attempted to develop an approach to
estimate annual time series for other
pesticides, and concluded that ‘‘further
data collection and model development
may be necessary to determine whether
the model should be used for areas for
which fewer historical data are available
* * * Because of the relative simplicity
of the time-series model and because of
the inherent noise and unpredictability
of pesticide concentrations, many
limitations of the model need to be
considered before the model can be
used to assess long-term pesticide
exposure risks.’’ (Ref. 126).
The commenter’s conclusion that the
‘‘maximum 1–in–10–day estimated
concentrations of carbofuran at the 90th
percentile level in Illinois, Indiana,
Iowa, and Nebraska [* * *] will be less
than or equal to 0.3687 ppb,’’ is
erroneous. WARP does not provide
direct estimates of return frequency, i.e.,
1–in–10 days, but rather percentiles of
the expected distribution of
measurements. This may be similar but
not identical to the return frequency
expressed as a percentile, depending on
the number of measurements used to
support the regression. EPA lacked the
information necessary to determine
whether FMC’s contractor calibrated the
model correctly. However, taking the
conclusion at face value, the value FMC
predicted using WARP, 0.3687 ppb,
appears to represent the maximum of
the estimated values of the annual 90th
percentile among all the sites evaluated.
Such a site would be expected to have
higher concentrations than 0.3687 ppb
about 37 days a year (10% of the year).
Generally, the 90% prediction intervals
tend to be about plus or minus an order
of magnitude. Thus, roughly 5% of such
sites could have about 37 days a year
greater than about 3.7 ppb.
The Agency also disagrees that the
differences between FMC and EPA
estimates are only due to FMC’s use of
county-level usage data. Most
importantly, the Agency does not
concur that 1–in–10–day estimates are a
reasonable surrogate the for the 1–in–
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10–year peak concentrations estimates
used routinely by EPA. 1–in–10–day
concentrations are not the measurement
endpoint EPA uses for human health
risk assessment and are not appropriate
for estimating drinking water exposure.
The Agency uses 1–in–10–year peak
concentrations for screening level
assessments, and the full time series
(typically 30 years) of daily
concentration values for refined
assessments. For example, EPA’s
estimate of the 1–in–10–year peak
concentration from the simulation of
corn in Kansas with a 300 ft buffer was
31.8 μg/L. EPA’s estimate of the 1–in–
10–day concentration from the same
simulation was 4.5 μg/L. The
measurement endpoint used by EPA,
which has been subject to peer review
by the FIFRA SAP, is the 1–in–10–year,
peak concentration. A concentration
that occurs 1–in–10 days occurs 350
times as often as a 1–in–10–year event.
Assuming this statistic instead of the
one EPA used would result in a
significantly lower estimates of
pesticide water concentration and
human exposure. Such an approach
would be inconsistent with the SAP’s
advice and EPA’s typical practice, as
well as with EPA’s statutory
requirement to protect human health.
EPA disagrees with FMC’s claim that
‘‘the extreme nature of a 1–in–10–year
event would result in dilution effects
that cancel out any increased loading.’’
The Index Reservoir scenario has been
validated against monitoring collected
at the site it was designed to represent,
Shipman City Lake in Illinois (Ref. 56).
This assessment showed that the 1–in–
10–year event EPA modeled was similar
in magnitude to the peak value of the
pesticide concentrations shown in 5
years of monitoring data collected at
that site. The 1–in–10–year peak
concentration calculated for that
pesticide (not carbofuran), using the
Index Reservoir was 33 μg/L, while the
peak value from 5 years of monitoring
was 34 μg/L.
EPA cannot comment on the use
intensities assumed for FMC’s
assessment. The source of county level
use data was not described. Based on
the comments submitted to the SAP by
FMC (Ref. 33) the source is likely to be
sales data at the distributor level.
However, the method chosen to estimate
county level use estimates from the
sales data was not provided. The county
level estimates used in the assessment
for 2002 to 2004 for Illinois were
provided in a table. These estimates for
each county were averaged over the 3
years for input to the model. A summary
description of how watershed-scale use
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estimated from county level use data
was provided, but because the sales data
and method that was used to generate
county level estimates were not
available, this validity of this
assessment cannot be evaluated.
Several commenters criticize the
Agency for the assumption that 100% of
the cropped area in a watershed is
treated. These commenters claim that
actual carbofuran sales data on a county
basis confirm that the actual carbofuran
PCT is less that 5%, with most PCTs
less than 1%. The commenters claim
that these county level sales data either
were provided to EPA as part of reports
prepared by their consultants, or would
be provided to EPA. They further claim
that ‘‘how these data were analyzed,
interpreted, and applied’’ was provided
to EPA in a report on best management
practices.
While the Agency typically uses PCT
in developing estimates of pesticide
residues in food, this is entirely
different than developing estimates of
the percent of a watershed that is treated
for purposes of estimating drinking
water exposures. Food is generally
randomly distributed across the nation
without regard to where it is grown.
This tends to even out any PCT
variations that may arise on local levels.
By contrast, the source of water
consumption (and consequently
exposure) is localized, either in a
private well or a community water
system. The PCT in any watershed will
therefore directly impact the residues to
which people living in that watershed
will be exposed.
For this reason, among others, for
drinking water exposure estimation, the
Agency assumes that 100% of the
cropped area (or 100% PCT) is treated.
EPA also makes this assumption due to
the large uncertainties in the actual PCT
on a watershed-by-watershed basis. EPA
developed an extensive discussion of
the uncertainties in PCT and how they
impact drinking water exposure
assessment in its proposed rule (73 FR
44834) and in a background document
provided to the SAP considering the
draft carbofuran NOIC (Ref. 59). Because
usage is often not evenly distributed
across the landscape, due to differences
in factors like pest pressure, local
consultant recommendations and
weather, it may be much higher in some
areas. Further, temporal uncertainties
can result in changes in use that might
be driven by weather, changes in insect
resistance over time, and changes in
agronomic practices. To date, methods
that account for this uncertainty, given
the nature of the available data, have not
been developed. Consequently, EPA
cannot accurately estimate a drinking-
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water watershed scale PCT that, when
used in a quantitative risk assessment
on a national or regional basis, standing
alone, provides the necessary level of
certainty to allow the Agency to
confidently conclude that exposures
will meet the FFDCA 408 safety
standard.
In most cases, EPA agrees that it is
unlikely that 100% of the crop will be
treated in most watersheds, particularly
in larger watersheds. However, for small
watersheds, it is reasonable to assume
that an extremely high percentage of the
crops in the watershed may be treated.
Moreover, EPA has an obligation to
evaluate all legally permitted use
practices under the label, and to ensure
that all such use meets the requisite
statutory standards, not simply to base
its decisions on the practices the
majority might typically use. The
September 2008 proposed label imposes
no restriction on the application of
carbofuran related to whether a
particular percent of the watershed has
been treated. Thus, even with the
restrictions on FMC’s September 2008
labels, it remains legally permissible for
100% of the watershed to be treated
with carbofuran.
Nor is EPA aware of an enforceable
mechanism to ensure that farmers
applying pesticide to their individual
fields will have the ability to determine
whether a particular percentage of the
watershed has been treated. There are
significant practical difficulties inherent
in implementing such label directions,
as they force individual growers to have
continual knowledge of the variances of
the behavior of other farmers across the
entire watershed. While for small
watersheds that involve only one or two
farms it might be feasible for neighbors
to coordinate applications with respect
to adjacent fields, for larger watersheds,
the practical difficulties increase
significantly.
However, in the proposed rule, EPA
conducted a sensitivity analysis to
explore the impact of PCT assumption
on dietary risk using an assumed 10%
PCT, a figure proposed previously by
FMC (73 FR 48864). The results of that
analysis demonstrated that even at these
low percentages, which may
significantly underestimate exposures,
particularly in small watersheds,
carbofuran exposures from drinking
water contribute significantly to
children’s dietary risks. EPA conducted
a similar sensitivity analysis for this
final rule, discussed below in Unit
VIII.E.3., which demonstrates that even
assuming that a low percentage of a
watershed is treated, exposures will be
unsafe for infants.
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FMC has submitted three assessments
that relied in part on what they refer to
as ‘‘county-level usage data’’ (Refs. 36,
96, and 120). The description that EPA
has been able to piece together from the
registrant’s various submissions
indicates that the original source of the
‘‘county-level usage data’’ is sales data,
apparently collected at the distributor
level. FMC claims to have augmented
these sales data in an unspecified
manner, by incorporating information
from the distributor, which FMC used to
allocate carbofuran usage at the county
level. FMC has provided maps
representing county level and
watershed-scale use estimates, but has
not provided the actual usage estimates
in any clearly understandable format.
Nor, as of the close of the comment
period, has any commenter provided
either the ‘‘actual sales data’’ FMC used
to develop these estimates, or the
methods used to estimate county level
usage from the sales data. FMC has
provided only a limited description of
how these data were collected and no
description of how they were actually
analyzed or validated; what FMC
characterizes as ‘‘careful and proven
techniques to capture this data’’ were
not described. The method FMC used to
attribute carbofuran sales to counties
was not described. In the absence of the
data or analyses described above, EPA is
unable to verify or evaluate the results
of any analyses that rely on these data
and can reach no conclusion on its
validity or utility.
The Agency agrees that county-level
use data would be useful in generating
reasonable estimates of PCT that could
be used in drinking water assessments.
However, as discussed in the previous
responses, FMC has only provided
county-level use estimates (not the
underlying data nor the analyses that
presumably are the basis for the
estimates) for Illinois; county-level
estimates to support other risk
assessments have not been submitted by
FMC as of the end of the comment
period. The underlying sales data (i.e.,
measurements) used to make the
county-level estimates and the methods
FMC used to estimate county level use
from them have also not been
submitted. FMC has provided limited
characterization of the source data,
noting that these data were derived from
FMC billings and ‘‘EDI data’’, which
they did not define, and that the sales
data had been adjusted to reflect
different use patterns and by removing
use for patterns which they no longer
support (e.g., alfalfa). However, FMC
did not provide adequate details on the
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methodology they used to make these
adjustments.
A major problem with the method
FMC seemingly used is that it does not
appear to account for uncertainties due
to variation in time and space and the
potential for use to be locally
concentrated due to pest pressures. The
method FMC summarily describes as
having been used to allocate countylevel usage estimates to watersheds
appears to be similar to a method that
has been used by others for calculating
‘‘best-estimate’’ county-level PCT (Ref.
95) to map nation-scale pesticide usage.
However, these methods are not
appropriate for calculating PCTs for
surface drinking water sources or
watersheds that drain to CWSs, because
they do not adequately account for the
uncertainty in the data at the
appropriate spatial scale. This
methodology produces an estimate that
is a measure of central tendency and, as
such, roughly half the estimated values
will underestimate the PCT.
Furthermore, because, pesticide use
varies from year to year, and can in
some cases be patchy, with high levels
of use in small areas and little use in
most areas, the underestimates of PCT
can be substantial in small watersheds.
As previously noted, methods for
calculating PCT that account for these
uncertainties have not been developed.
Several commenters allege that
carbofuran use will not concentrate in
areas due to pest pressure. One
commenter criticizes EPA for failing to
support its conclusion that the pest
pressure and infestation patterns could
result in concentrated usage that could
occur within vulnerable watersheds,
and claims that EPA ignored the countylevel sales data provided by the
registrant which can be used both to
determine whether carbofuran usage is
evenly dispersed or locally clustered (an
assessment [FMC’s contractor] expressly
undertook) and the probability of
concentrated usage within vulnerable
watersheds.
Two commenters claim that, because
‘‘more than 60% of the total corn
acreage is made up of rootworm
resistant GMO corn, which vary rarely
requires treatment,’’ and the remaining
acreage ‘‘is refugia acreage for GMO
fields which is widely distributed
geographically,’’ it is a ‘‘virtual
impossibility’’ that all corn acreage in a
particular watershed will require a
rescue treatment in any given year.
Another commenter made similar
allegations for sunflower acreage. The
commenter claims that ‘‘[s]unflowers
are a specialty crop that is only grown
on a small proportion of agricultural
acreage generally, particularly in states
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where carbofuran is used (i.e., Nebraska,
Colorado, Kansas, and Texas).’’
According to the commenter, the
available data suggests that sunflowers
are only used on 25% of total cropped
area, and that carbofuran is not used on
all of these acres. As further support for
this point, another commenter cites to
the sunflower PCAs they calculated for
Nebraska, Kansas, Colorado, and
Texas,’’ which they claim is 2.12%.
The Agency agrees that the true PCT
is not likely to be 100%. However, as
discussed in several places throughout
this preamble, the Agency is certain that
PCT is higher in some cases than values
calculated by the commenter. The
degree of spatial correlation, however, is
unknown, and thus is a major
uncertainty. FMC’s own analysis of
carbofuran use in watersheds in Indiana
suggests that carbofuran use is indeed
localized, as carbofuran use was found
in watersheds of only 12 of the 35
community water supplies that they
considered in the state (Ref. 120). This
suggests that when pest pressure occurs
it is not unreasonable to assume it will
be localized. Other factors, such as
market pressures, consultant
recommendations, or local availability
may also be driving disparate levels of
use in different locations. Since there is
no method to account for this
uncertainty in estimating PCT, it cannot
be estimated in this assessment with the
degree of confidence consistent with the
statutory requirement of a reasonable
certainty of no harm.
The commenters raise several valid
points that, taken together, reduce the
probability that carbofuran usage will be
concentrated over large geographical
areas. However, the commenters failed
to rebut EPA’s conclusion that
carbofuran’s use patterns could be
concentrated in certain locations, such
that a large percentage of a small
watershed is treated. Their first
observation that carbofuran is applied as
a rescue treatment on 0.27% of all U.S.
corn acreage is true at the national level.
However, the commenters failed to note
that there are regional differences in
carbofuran use, and as the scale
becomes smaller, one would expect
these differences to become even
greater, precisely because use of
carbofuran is sporadic in both time and
space. Large areas would not be treated,
but smaller areas, such as some drinking
water watersheds considered by EPA
may have a significantly higher
proportion of their acreage treated than
compared to national estimates.
The commenters’ point that control
failures are more likely to occur on
biotech corn refugia is valid and will
tend to prevent treatment of large
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contiguous areas of corn. However, not
all farmers plant biotech corn. Further,
farmers who do grow biotech corn do
not locate their refugia universally in
one part of the field, and there is no
requirement that farmers in contiguous
fields coordinate the location of their
respective refugia. Consequently, the
possibility that several contiguous corn
fields could be simultaneously treated
in any given year is not precluded. It is
worth noting in this context that the
September 2008 labels do not restrict
application to the refugia. Moreover, in
those areas where carbofuran is applied
aerially, such as Nebraska, it is
frequently easier for applicators to treat
an entire field, rather than restricting
their application to only select portions
of the field. This is particularly true in
smaller fields. Finally, because usage is
often not evenly distributed across the
landscape due to differences in factors
like pest pressure, local consultant
recommendations and weather, it may
be much higher in some areas, and
methods that account for this
uncertainty, given the nature of the data,
have not been developed.
EPA agrees that the 87% default PCA
that has been used for EPA’s drinking
water exposure assessments is likely a
conservative estimate of sunflower
acreage in a watershed. However, EPA
has not developed PCAs for specific
crops other than for corn, wheat, and
cotton, consistent with guidance
provided by the FIFRA SAP (Ref. 38).
Nevertheless, the sunflower growers’
own estimate of sunflower PCAs range
as high as 25%, which certainly cannot
support a PCA of 2.12% as one of the
commenters suggested.
One commenter complained that as
part of the NMC CRA, EPA relied on
actual ‘‘county-or multi-county level
pesticide use information, based on
agricultural chemical use surveys’’ to
develop its estimates of potential
exposure, rather than assuming 100%
PCT.’’ The commenter compares their
surface water estimations to those
developed by EPA for the NMC
cumulative assessment, and claims that
the two are consistent.
While it is true that in the NMC
assessment, EPA used PCT numbers to
estimate the cumulative exposure from
the contamination of such pesticides in
surface water, this was done in order to
more accurately account for the
likelihood of pesticide co-occurrence at
a single drinking water facility. But this
does not mean that use of PCT is
appropriate in conducting an
assessment of aggregate exposure from
carbofuran residues in surface water.
This difference in approach between the
assessment of a single chemical’s
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aggregate exposure, and the assessment
of the cumulative exposures from
several chemicals, stems from the
differences in the purpose and scope of
the two assessments. These differences
inevitably require the application of
different methodologies.
In evaluating the acute risks
associated with a single chemical’s
contamination of drinking water, EPA
must consider all of the variations
permitted under the label. Drinking
water exposures are driven by uniquely
local factors; not only is the source of
drinking water local (i.e. a person drinks
water from his or her local water system
not from a combination of water systems
from across the United States), but the
likelihood and degree of contamination
of any particular, local drinking water
source, whether it is a reservoir or well,
varies widely based on local conditions
(e.g, from local pest pressures, weather).
Given this local variability, EPA must
evaluate how all of the practices
permitted under the label will affect
drinking water exposures, because all
are legally allowed, and farmers may
choose any of them based on their
particular individual local conditions.
This means that even if typically
growers, on a national or regional basis,
do not frequently use a particular
practice, EPA must still evaluate
whether aggregate exposures from that
practice would be safe because the
practice is legally permissible and may
be used due to local conditions. Thus,
for example, even if most growers tend
to apply the chemical only to a portion
of the field, or typically only apply onehalf of the maximum application rate,
EPA must determine whether use by all
or some growers to the entire field or at
the maximum rate in a local watershed
would result in unsafe drinking water
concentrations.
By contrast, it is not feasible to
conduct the identical analysis for a
cumulative assessment of related
chemicals. Since the potential
combinations of variations in pesticide
use practices for the group of pesticides
to be assessed are essentially infinite,
even with computer modeling it would
be impossible to model or evaluate all
of the combinations allowed under the
labels. EPA therefore needed to narrow
its evaluation of the possible
combinations to those deemed ‘‘likely’’
to occur. In contrast to the single
chemical assessment, a cumulative
assessment is intended to develop a
snapshot in time of what is likely
occurring at the moment. Moreover, the
purpose of a cumulative assessment is
to identify major sources of risk that
could potentially accrue due to the
concurrent use of several pesticides that
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act through a common mechanism of
toxicity. Thus, EPA is primarily
interested in the subset of circumstances
in which residues from such pesticides
occur concurrently (or co-occur).
In addition, one of the important
attributes of a cumulative risk
assessment is that its scope and
complexity can potentially lead to
inflated estimates of risk due to
compounding conservatisms, which
would reduce the interpretability and
ultimately the utility of the assessments.
Because many data sets need to be
combined, reducing the impact and
likelihood of compounding conservative
assumptions and over-estimation bias
becomes very important in constructing
a reasonable cumulative risk
assessment.
When little or no information is
available to inform potential sources of
exposure, such as a reasonable or
maximum watershed scale PCT, it is
both scientifically and legally
reasonable for a single chemical
assessment to incorporate conservative
assumptions to reflect reasonable worstcase exposure estimates. But in a
cumulative risk assessment, the
incorporation of such conservative
assumptions would imply multiple
simultaneous reasonable worst-case
exposure estimates for each individual
chemical. This is so unlikely that the
results would no longer represent even
a reasonable worst-case estimate of the
likely risks. Consequently, some of the
conservative assumptions appropriately
used in the single chemical risk
assessments are not appropriate or
reasonable for use in a cumulative risk
assessment, and vice versa.
As a result, EPA chose in the NMC to
work with those data that most closely
reflect ‘‘representative’’ exposures, and
developed ‘‘representative’’ estimates of
PCT in regional watersheds. However,
to be clear, the PCT values used in the
NMC assessment do not represent
estimates of 50% of watersheds, or even
the ‘‘average’’ watershed; rather, they
represent values that are expected to be
as likely to be accurate as not, based on
a random selection of watersheds. A
comparable example is the statistic that
the average American family has
approximately 2 children; this may or
may not be true for any individual
family, but there is an equally good
chance that it will be accurate for any
randomly selected family, as that it will
not be accurate. For the cumulative
assessment, EPA is able accept this level
of uncertainty in these estimates,
precisely because it has confidence that
aggregate exposures from the individual
chemicals will be safe, based on the
level of conservatism in the single
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chemical assessments. But given the
statute’s mandate to ensure a
‘‘reasonable certainty of no harm,’’ EPA
could not rely on the approach used
under the cumulative assessment in the
absence of the more conservative singlechemical assessment that evaluates the
full range of exposures permitted by the
registration.
Nevertheless, as discussed in Unit
VIII.E.3., in response to FMC’s concerns
EPA performed a sensitivity analysis of
an exposure assessment using a PCT in
the watershed to determine the extent to
which some consideration of this factor
could meaningfully affect the outcome
of the risk assessment. The results
suggest that, even at levels below 10%
CT, exposures from drinking water
derived from surface waters can
contribute significantly to the aggregate
dietary risks, particularly for infants and
children. Accordingly, these
assessments suggest that use of a
reasonably conservative PCT estimate,
even if one could be developed, would
not meaningfully affect the carbofuran
risk assessment, as aggregate exposures
would still exceed 100% of the aPAD.
One commenter raised the concern
that USGS monitoring found that
concentrations of carbofuran in
agricultural streams ranged from nondetect to 7 ppb (with a 95th percentile
concentration of 0.044 ppb), noting that
the monitoring strategy used by USGS
for this program is likely to
underestimate peak contamination
levels (Ref. 114). The commenter argued
that the USGS monitoring program is
not designed to target waterways where
carbofuran is in high use, or timed to
coincide with predicted peak levels of
pesticide runoff into waterways.
Moreover, the frequency of sampling is
normally weekly or bi-weekly, not
enough to reliably sample the sporadic
peaks that are predicted to be associated
with pesticide application days or heavy
runoff following rains. This monitoring
strategy is more likely to capture the
trends in chronic pollutants, but miss
peak events such as pesticide runoff
following rain. The sampling strategy
biases towards the null; that is, it is
likely to underestimate contamination
by missing peak events when they
occur, but will not over-represent nondetects. The commenter alleged that the
fact that these data show routine
detections of carbofuran in streams from
agricultural land use areas suggests that
there are likely to be peak events that go
undetected. These data further support
EPA’s decision to cancel carbofuran and
support rejecting FMC’s proposal to
restrict its use only in a limited number
of watersheds. Because carbofuran is
detected in streams across the nation,
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FMC’s spatially limited mitigation plan
would fail to protect many waterways
from contamination.
One commenter argued that FMC’s
proposal to restrict uses of carbofuran in
the most vulnerable watersheds, to limit
ground water contamination, would fail
to provide adequate protection. The
commenter noted ‘‘substantial
monitoring data showing that
carbofuran has been detected by the
USGS in 10.4% of over 2,000 streamwater samples taken from 83
agricultural streams monitored from
1992–2001, demonstrating that it is a
widespread water pollutant and that
geographically limited mitigation
measures are not likely to be adequately
protective.’’ (Ref. 114).
EPA agrees with the commenters that
the risks of surface water contamination
from carbofuran are significant, and that
FMC’s September 2008 labels do not
mitigate the risks sufficiently.
3. Aggregate exposures. One group of
commenters presented a summary of
some of the results of their own
aggregate exposure assessment.
According to these commenters, the
results of their risk assessment
demonstrate that carbofuran residues
from the four domestic food uses,
imports, and drinking water are ‘‘safe.’’
EPA notes that the commenters
merely provided summaries of the
results of this assessment, and describe
their methodology in only the most
general terms, but chose not to provide
the actual risk assessment to the
Agency. Nor did the commenters
provide any of their input files.
Consequently, EPA was unable to fully
evaluate the scientific adequacy of this
assessment.
The Agency’s analyses result in food
only exposures comparable to some of
those reported by the commenters (e.g.,
exposures from the four import
tolerances). But the remaining scenarios
could not be verified since the
commenters did not elaborate on the
methods by which the detected
concentrations found in the PDP milk
samples were adjusted. Nor could EPA
replicate the commenters’ reported
results. As discussed in more detail in
Unit VIII.E.1., the Agency’s assessment
for this subset of foods differs slightly
from the commenters due to PCT
estimates (bananas), and more
significantly, in the treatment of milk
residues detected by the PDP program.
Those differences cause the
commenters’ food only scenario
(without accounting for any reversibility
of AChE inhibition) to be slightly lower
than the Agency’s revised estimates
(67% vs 78%).
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EPA was also unable to replicate the
commenters’ results for drinking water
exposures, or for aggregated exposures
from food and drinking water. The
commenters report that in their water
only scenario, the DEEM results were
350% aPAD, assuming a 5% crop
treated value. However, as discussed
previously VII.C.2.b., EPA believes that
it lacks sufficient basis to assume that
only 5% of the crop in a watershed will
be treated.
The commenters presented the results
of their ‘‘Eating Occasions Analyses’’ for
only one aggregate scenario, which was
based on a Kansas corn drinking water
scenario, and only for the infant
subpopulation. It is based on this
scenario that the commenters claim that
aggregate exposure to carbofuran
residues will be safe. The commenters
appear to have also developed some
other scenarios for corn, sunflowers,
and potatoes that produce similar
predicted drinking water
concentrations; some of which have
slightly higher peak concentrations.
However, they did not present any
results for those scenarios, nor provide
any of the analyses to the Agency as part
of their comments. As noted, EPA was
unable to replicate these results. But as
discussed below in Unit VIII.E., EPA
disagrees that aggregate exposures to
carbofuran residues are safe.
One commenter raised the concern
about the numbers of people exposed to
unsafe levels of carbofuran. The
commenter stated that EPA has
determined that the aggregate exposures
to carbofuran from food and water at
doses greater than 0.000075 mg/kg/day/
day, the aPAD, will not meet the safety
standard of FFDCA section 408(b)(2). At
the 99.9th percentile of exposure,
aggregate dietary exposure from food
alone exceeds the aPAD by 160% for
children 6–12 years (approximately
36,000 kids), and 210% for children 3–
5 years old. The commenter stated that
when these estimates are aggregated
with ground water sources of drinking
water from vulnerable areas, the
predicted exposure exceeds the aPAD
by 1,100% for adults over 50 years
(approximately 71,000 people) and over
10,000% for infants at the 99.9th
percentile (approximately 4,000
infants). According to the commenter
there are approximately 24,000,000
children under 5 years old in the United
States, so 0.1% of this age group would
mean leaving approximately 24,000
children at risk, using the 99.9th
percentile exposure estimates.
According to the commenter, no reading
of the statute will support any approach
that allows thousands of children to be
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exposed to a pesticide at levels that
exceed the aPAD.
EPA agrees that aggregate exposures
to carbofuran do not meet the FFDCA’s
safety standard. The precise figures
calculated by the commenter were based
on exposures from all of the registered
uses assessed in EPA’s proposed rule; as
many of those uses have been canceled,
the number of affected children is
expected to be lower. However, EPA
agrees that based on its revised
estimates, allowing children to continue
to be exposed to carbofuran would not
be consistent with the statute.
D. Comments Relating to Legal or Policy
Issues
A number of commenters raised
concern that EPA had proposed to
revoke all carbofuran tolerances before
taking action against the pesticide
registrations under FIFRA ‘‘in the
absence of an imminent health hazard.’’
Several of these commenters raised
concern that EPA had failed to comply
with FFDCA section 408(l)’s
requirement to ‘‘coordinate action
[under the FFDCA] with any related
necessary action under the [FIFRA].
EPA has determined with respect to
carbofuran both that the tolerances
established for that chemical fail to meet
the safety standard set forth in section
408 of the FFDCA and must therefore be
revoked under that statute, and that the
pesticide registrations fail to meet the
relevant standard under FIFRA, and
must therefore be canceled under that
statute. Section 408(l)(1) of the FFDCA
provides that ‘‘[t]o the extent practicable
and consistent with the review
deadlines in subsection (q), in issuing a
final rule that suspends or revokes a
tolerance or exemption for a pesticide
chemical residue in or on food, the
Administrator shall coordinate such
action with any related necessary action
under [FIFRA].’’ 21 U.S.C. 346a(l)(1).
Nothing in this provision establishes a
predetermined order for how the
Agency is to proceed to resolve dietary
risks. Nor does FIFRA include any
provision that imposes a requirement
that the Agency act first under FIFRA
before it may act under the FFDCA in
a situation such as carbofuran, where
pesticide registrations and tolerances
fail to meet the relevant legal standards
of FIFRA and the FFDCA. Accordingly,
there is no support for the notion that,
as a matter of law, the Agency lacks the
legal authority to revoke pesticide
tolerances under the FFDCA that do not
meet the safety standard of that statute
unless the Agency has first canceled
associated pesticide registrations under
FIFRA.
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Coordination is defined as ‘‘to place
or arrange in proper order or position,
to combine in harmonious relation or
action.’’ Thus, the requirement to
‘‘coordinate’’ is a direction to ensure
that the substance of actions taken
under the two statutes are consistent,
and that the Agency make a
determination as to the proper order of
action under the two statutes. This
cannot be read as a requirement that
actions under FIFRA precede actions
under the FFDCA, or that any particular
order is necessarily required. Indeed, to
the extent that this provision offers any
direction with respect to the order of
preference, the language actually
suggests that the order in which EPA
has proceeded is entirely appropriate.
Section 408(l)(1) requires EPA to
proceed ‘‘consistent with the review
deadlines in subsection (q).’’ 21 U.S.C.
346a(l)(1).
One commenter raised concern that
the FFDCA requires EPA to harmonize
actions under FFDCA and FIFRA ‘‘to the
extent practicable.’’ The commenter
alleges that there is no excuse for not
‘‘harmonizing action under both
statutes’’ in the absence of an
‘‘imminent hazard.’’ According to the
commenter, ‘‘harmonization would
allow the key science issues to be
resolved in an orderly manner before
hasty action is taken, would avoid
needless disruption and confusion of
agriculture and the channels of trade,
and would allow the benefits of the
pesticide to be properly taken into
account.’’
As explained in the previous
response, the comment is based on a
misconstruction of FFDCA section
408(l)(1). As a preliminary matter, EPA
interprets the commenter’s phrase
‘‘harmonizing action under both
statutes’’ to mean either: (1) Pursuing
action to cancel registrations under
FIFRA prior to revoking tolerances or (2)
holding a hearing pursuant to FIFRA
and the FFDCA simultaneously. Section
408(l)(1) does not require EPA to do
this; as discussed previously EPA is
merely required to ‘‘coordinate’’ action
under the two statutes, ‘‘to the extent
practicable and consistent with the
review deadlines.’’ Nor is there any
basis in either FIFRA or the FFDCA for
the commenter’s alleged requirement
that EPA determine that a pesticide
presents an ‘‘imminent hazard,’’ as that
term is defined in FIFRA, prior to taking
action to resolve dietary risks under the
FFDCA.
EPA chose to initially take action
exclusively under the FFDCA to resolve
carbofuran’s dietary risks for a number
of reasons. First and foremost, this was
determined to be the quickest way to
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resolve acute dietary risks to children.
In addition, the fact that this would
resolve the issues most quickly would
be beneficial to all parties, including the
registrant and growers, since it would
reduce costs and uncertainty for all by
resolving the question of carbofuran’s
dietary risks.
An additional consideration was the
belief that this route would be more
transparent, and would ensure that
there would be no confusion as to the
appropriate standard that would be used
to resolve dietary risk concerns. The
Agency was concerned that holding a
hearing under FIFRA would lead
growers to misunderstand the role that
benefits could play in the ultimate
decision. Indeed, the commenter’s claim
that ‘‘harmonization would allow the
benefits of the pesticide to be properly
taken into account’’ confirms that EPA’s
concern was justified.
Whether under FIFRA or the FFDCA,
a pesticide’s benefits are irrelevant in
determining whether a pesticide
presents an unacceptable dietary risk.
Section 408(b)(2) clearly provides that
the only standard is whether the
pesticide chemical residues will be
‘‘safe.’’ 21 U.S.C. 346a (b)(2). Nor is the
evaluation of a pesticide’s ‘‘benefits’’
included among the factors to be
considered in determining whether
residues will be ‘‘safe.’’ 21 U.S.C. 346a
(b)(2)(B). FIFRA section 2(bb)
incorporates the FFDCA’s standard
explicitly and without modification,
clearly distinct from the provisions that
relate to consideration of the benefits of
the pesticide. Thus, in any FIFRA
hearing, if it is determined that use of
a pesticide fails to meet the FFDCA
section 408 safety standard, the
pesticide must be canceled, irrespective
of whether the benefits outweigh the
ecological and occupational risks. But
since under FIFRA, all issues are
addressed in one hearing, the potential
existed for confusion on the part of the
members of the public, who might have
an interest in the proceedings.
Finally, EPA disagrees that it has
failed to proceed in an orderly manner
or that it has taken hasty action. By the
time these tolerance revocations will be
effective, EPA will have provided
numerous opportunities for public
comment, obtained peer review of the
key science issues from the SAP, and
will, if appropriate, hold a hearing on
remaining issues of material fact.
Further, notwithstanding the statutory
deadlines in section 408(q) for
identifying and resolving dietary risks,
the registrant had 8 additional months
to generate data to rebut the Agency’s
conclusions in the IRED. In total, the
registrant and the public will have been
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granted numerous opportunities and
well over 2 years to comment on the key
science issues. Given that carbofuran
presents acute dietary risks to children,
and the clear statutory deadline in
FFDCA section 408(q), EPA believes it
would be difficult to characterize its
action as ‘‘hasty.’’
Some commenters objected to EPA’s
revocation of tolerances on the grounds
that it was poor public policy because
the action ‘‘sets up farmers and food
producers for unanticipated,
unwarranted, and unfair enforcement
action and penalties for presence of
residues in food from otherwise legally
treated crops.’’
EPA shares the concerns that farmers’
crops not be subject to unfair or
unwarranted penalties based on the
Agency’s choice to resolve carbofuran’s
dietary risks before proceeding with a
cancellation. EPA has taken a number of
measures in response to these concerns,
to ensure that growers will not be
unfairly penalized by the Agency’s
action.
First, EPA has established delayed
effective dates for all of the tolerance
revocations, to provide growers with
sufficient time to use up stocks of
carbofuran that they currently have on
hand. These dates are well after the end
of the current growing season. These
delayed effective dates also ensure that
growers have sufficient notice of when
these requirements will be applicable to
allow them to factor this into their
purchasing and application decisions.
By the time the rule is scheduled to
become effective, growers will have
been informed of EPA’s intentions well
over a year in advance; this should be
more than sufficient time to allow
growers to plan around the final
revocation dates. Finally, EPA has
initiated discussions with FDA, and will
continue to coordinate with FDA, to
ensure that food that was treated before
the effective date of the tolerance
revocations will continue to be allowed
to be sold.
Late comments. EPA received a
number of submissions after the close of
the comment period. The majority of
these were from FMC, the registrant of
carbofuran. These submissions included
a request to stay the effective date of the
tolerance revocation, as well as requests
that EPA consider additional issues and
factual information in this final rule. In
addition, one timely submitted
comment questioned the legal basis for
the statement in the proposed rule that
failure to raise issues during the
comment period would constitute a
waiver of those issues, asserting that
‘‘EPA’s requirement. . .does not appear
to be legally binding.’’
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Sections 408(e)–(g) of the FFDCA
provides a multi-step process for the
establishment and revocation of
tolerances, that provides ample
opportunities for those with an interest
in the tolerance to protect those
interests. The process essentially
consists of informal rulemaking,
supplemented as appropriate with an
administrative hearing. See, 21 U.S.C.
321a(e)–(g). As an informal rulemaking,
the process is governed by section 553
of the Administrative Procedures Act,
(APA) except to the extent section 408
provides otherwise, or to the extent the
FFDCA falls within one of the APA’s
exceptions. Accordingly, the legal basis
for the Agency’s statement that issues
not raised during the comment period
on the proposed tolerance revocation
may not be raised as objections or in any
future proceeding, stems directly from
the requirements of section 553 of the
APA, and the case law interpreting
these requirements. In this regard, it is
well established that the failure to raise
factual or legal issues during the
comment period of a rulemaking,
constitutes waiver of the issues in futher
proceedings, [e.g., Forest Guardians v
US Forest Service, 495 F.3d 1162, 1170–
1172 (10th Cir. 2007)] (Claim held
waived where comments ‘‘failed to
present its claims in sufficient detail to
allow the agency to rectify the alleged
violation’’); Nuclear Energy Institute v
EPA, 373 F.3d 1251, 1290–1291 (D.C.
Cir. 2004) (‘‘To preserve a legal or
factual argument, we require its
proponent to have given the agency a
‘fair opportunity’ to entertain it in the
administrative forum before raising it in
the judicial forum.’’) Native Ecosystems
Council v Dombeck, 304 F.3d 886, 889900 (9th Cir. 2002) (Purpose of
requirement that issues not presented at
administrative level are deemed waived
is to avoid premature claims and ensure
that agency be given a chance to bring
its expertise to bear to resolve a claim);
Kleissler v. U.S. Forest Service, 183 F.3d
196, 202 (3d Cir. 1999) (Policy
underlying exhaustion requirement is
that ‘‘objections and issues should first
be reviewed by those with expertise in
the contested subject area’’); National
Association of Manufacturers v US DOI,
134 F.3d 1095, 1111 (D.C. Cir. 1998)
(‘‘We decline to find that scattered
references to the services concept in a
voluminous record addressing myriad
complex technical and policy matters
suffices to provide an agency like DOI
with a ‘fair opportunity’ to pass on the
issue.’’) Linemaster Switch Corporation
v EPA, 938 F.2d 1299, (D.C.Cir. 1991)
(declining to consider in challenge to
final rule, data alluded to in comments,
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but not submitted during the comment
period, and information submitted to
EPA office that was not developing the
rule). And nothing in the language or
structure of the FFDCA alters this. As
such, this is indisputably a binding legal
requirement.
The fact that section 408 of the
FFDCA in certain limited circumstances
supplements the informal rulemaking
with a hearing, does not change the
fundamental nature of the process. In
other words, the addition of further
process, through the availability of an
administrative hearing to resolve certain
factual disputes, does not
fundamentally alter the requirements
applicable to informal rulemakings. To
this end, EPA interprets the notice and
comment rulemaking portion of the
process as inextricably linked to the
administrative hearing. The point of the
rulemaking is to resolve the issues that
can be resolved, and to identify and
narrow any remaining issues for
adjudication. Accordingly the
administrative hearing does not
represent an unlimited opportunity to
supplement the record, particularly
with information that was available
during the comment period, but that
commenters have chosen to withhold.
To read the statute otherwise would be
to render the rulemaking portion of the
process entirely duplicative of the
hearing, and thus, ultimately
meaningless. See, e.g., FDA v. Brown &
Williamson Tobacco, 529 U.S. 120, 132–
133 (2000) (Court must interpret statute
as a symmetrical and coherent
regulatory scheme, and fit, if possible,
all parts into an harmonious whole.)
APW, AFL-CIO v Potter, 343 F.3d 619,
626 (2nd Cir. 2003) (‘‘A basic tenet of
statutory construction. . .[is] that a text
should be construed so that effect is
given to all its provisions, so that no
part will be inoperative or superfluous,
void or insignificant, and so that one
section will not destroy another...’’),
quoting, Silverman v Eastrich Mulitple
Investor Fund, 51 F.3d 28, 31 (3rd Cir.
1995). The equities of this construction
are particularly strong, where, as here,
the information was (or should have
been) available during the comment
period. See, Kleissler, 183 F.3d at 202
(‘‘[A]dministrative proceedings should
not be a game or a forum to engage in
unjustified obstructionism by making
cryptic and obscure reference to matters
that ‘‘ought to be’’ considered and then,
after failing to do more to bring the
matter to the agency’s attention, seeking
to have that agency determination
vacated’’) citing Vermont Yankee
Nuclear Power Corp. v. N RDC, 435 U.S.
519, 553–54 (1978).
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Accordingly, in this final rule, EPA
has not considered any of the
information submitted after the close of
the comment period.
VIII. Aggregate Risk Assessment and
Conclusions Regarding Safety
Consistent with section 408(b)(2)(D)
of FFDCA, EPA has reviewed the
available scientific data and other
relevant information in support of this
action. EPA’s assessment of exposures
and risks associated with carbofuran use
follows:
A. Toxicological Profile
Carbofuran is an NMC pesticide. Like
other pesticides in this class, the
primary toxic effect seen following
carbofuran exposure is neurotoxicity
resulting from inhibition of the enzyme
AChE. AChE breaks down acetylcholine
(ACh), a compound that assists in
transmitting signals through the nervous
system. Carbofuran inhibits the AChE
activity in the body. When AChE is
inhibited at nerve endings, the
inhibition prevents the ACh from being
degraded and results in prolonged
stimulation of nerves and muscles.
Physical signs and symptoms of
carbofuran poisoning include headache,
nausea, dizziness, blurred vision,
excessive perspiration, salivation,
lacrimation (tearing), vomiting,
diarrhea, aching muscles, and a general
feeling of severe malaise. Uncontrollable
muscle twitching and bradycardia
(abnormally slow heart rate) can occur.
Severe poisoning can lead to
convulsions, coma, pulmonary edema,
muscle paralysis, and death by
asphyxiation. Carbofuran poisoning also
may cause various psychological,
neurological and cognitive effects,
including confusion, anxiety,
depression, irritability, mood swings,
difficulty concentrating, short-term
memory loss, persistent fatigue, and
blurred vision (Refs. 19 and 20).
The most sensitive and appropriate
effect associated with the use of
carbofuran is its toxicity following acute
exposure. Acute exposure is defined as
an exposure of short duration, usually
characterized as lasting no longer than
a day. EPA classifies carbofuran as
Toxicity Category I, the most toxic
category, based on its potency by the
oral and inhalation exposure routes. The
lethal potencies of chemicals are usually
described in terms of the ‘‘dose’’ given
orally or the ‘‘concentration’’ in air that
is estimated to cause the death of 50
percent of the animals exposed
(abbreviated as LD50 or LC50).
Carbofuran has an oral LD50 of 7.8-6.0
mg/kg, and an inhalation LC50 of 0.08
mg/l (Refs. 16 and 20). The lethal dose
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and lethal concentration levels for the
oral and inhalation routes fall well
below the limits for the Toxicity
Category I, ≤ 50 mg/kg and ≤ 0.2 mg/l,
respectively (40 CFR 156.62).
Carbofuran has a steep dose-response
curve. In other words, a marginal
increase in administered doses of
carbofuran can result in a significant
change in the toxic effect. For example,
carbofuran data in juvenile rats (PND11
and 17) demonstrate that small
differences in carbofuran doses (0.1 mg/
kg to 0.3 mg/kg) can change the
measured effect from significant brain
and RBC AChE inhibition without
clinical signs (0.1 mg/kg) to significant
AChE inhibition, and resultant tremors,
and decreased motor activity (0.3 mg/
kg) (Refs. 45 and 83). In other words
there is a slight difference in exposure
levels that produce no noticeable
outward effects and the level that causes
adverse effects. This means that small
differences in human exposure levels
can have significant adverse
consequences for large numbers of
individuals.
B. Deriving Carbofuran’s Point of
Departure
There are laboratory data on
carbofuran for ChE activity in plasma,
RBC, and brain from studies in multiple
laboratory animals (rat, mouse, and
dog). These studies have been submitted
to EPA as part of pesticide registration
and include a variety of durations of
exposure and types of toxic effects
(neurotoxicity, developmental toxicity,
cancer, etc). Consistent with its mode of
action, data on AChE inhibition provide
the most sensitive effects for purposes of
deriving a RfD or PAD.
EPA uses a weight-of-evidence
approach to determine the toxic effect
that will serve as the appropriate PoD
for a risk assessment for AChE
inhibiting pesticides, such as carbofuran
(Ref. 102). Neurotoxicity resulting from
carbofuran exposures can occur in both
the central (brain) and PNS. In its
weight-of-the-evidence analysis, EPA
reviews data, such as AChE inhibition
data from the brain, peripheral tissues
and blood (e.g., RBC or plasma), in
addition to data on clinical signs and
other functional effects related to AChE
inhibition. Based on these data, EPA
selects the most appropriate effect on
which to regulate; such effects can
include clinical signs of AChE
inhibition, central or peripheral nervous
tissue measurements of AChE inhibition
or RBC AChE measures (Id). Due to the
rapid nature of NMC pesticide toxicity,
measures of AChE inhibition in the PNS
are very rare for NMC pesticides.
Although RBC AChE inhibition is not
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23071
adverse in itself, it is a surrogate for
inhibition in peripheral tissues when
peripheral data are not available. As
such, RBC AChE inhibition provides an
indirect indication of adverse effects on
the nervous system (Id). EPA and other
state and national agencies such as
California, Washington, Canada, the
European Union, as well as the World
Health Organization (WHO), across the
world use blood measures in human
health risk assessment and/or worker
safety monitoring programs as
surrogates for peripheral AChE
inhibition.
AChE inhibition in brain and the PNS
is the initial adverse biological event
which results from exposure to
carbofuran, and with sufficient levels of
inhibition leads to other effects such as
tremors, dizziness, as well as
gastrointestinal and cardiovascular
effects, including bradycardia (Ref. 20).
Thus, AChE inhibition provides the
most appropriate effect to use in risk
extrapolation for derivation of RfDs and
PADs. Protecting against AChE
inhibition ensures that the other adverse
effects associated with cholinergic
toxicity, mentioned above, do not occur.
There are three studies available
which compare the effects of carbofuran
on PND11 rats with those in young
adult rats (herein called comparative
AChE studies) (Refs. 3, 4, 5, and 83).
Two of these studies were submitted by
FMC, the registrant, and one was
performed by EPA-ORD. An additional
study conducted by EPA-ORD involved
PND17 rats (Ref. 79). Although it is not
possible to directly correlate ages of
juvenile rats to humans, PND11 rats are
believed to be close in development to
newborn humans. PND17 rats are
believed to be closer developmentally to
human toddlers (Refs. 12, 26, and 27).
Other studies in adult rats used in the
Agency’s analysis included additional
data from EPA-ORD (Refs. 69, 78, and
83).
The studies in juvenile rats show a
consistent pattern that juvenile rats are
more sensitive than adult rats to the
effects of carbofuran. These effects
include inhibition in AChE in addition
to incidence of clinical signs of
neurotoxicity such as tremors. This
pattern has also been observed for other
NMC pesticides, which exhibit the same
mechanism of toxicity as carbofuran
(Ref. 107). It is not unusual for juvenile
rats, or indeed, for infants or young
children, to be more sensitive to
chemical exposures as metabolic
detoxification processes in the young
are still developing. Because juvenile
rats, called ‘pups’ herein, are more
sensitive than adult rats, data from pups
provide the most relevant information
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for evaluating risk to infants and young
children and are thus used to derive the
PoD. In addition, typically (and this is
the case for carbofuran) young children
(ages 0–5 years) tend to be the most
exposed age groups because they tend to
eat larger amounts of food per their
body weight than do teenagers or adults.
As such, the focus of EPA’s analysis of
carbofuran’s dietary risk from residues
in food and water is on young children
(ages 0 to 5 years). Since these age
groups experience the highest levels of
dietary risk, protecting these groups
against the effects of carbofuran will, in
turn, also protect other age groups.
EPA evaluated the quality of the
AChE data in all the available studies.
In this review, particular attention was
paid to the methods used to assay AChE
inhibition in the laboratory conducting
the study. Because of the nature of
carbofuran inhibition of AChE, care
must be taken in the laboratory such
that experimental conditions do not
promote enzyme reactivation (i.e.,
recovery) while samples of blood and
brain are being processed and analyzed.
If this reactivation occurs during the
assay, the results of the experiment will
underestimate the toxic potential of
carbofuran (Refs. 50, 55, 76, 119, and
123). Through its review of available
studies, the Agency identified problems
and irregularities with the RBC AChE
data from both FMC supported
comparative ChE studies. These
problems are described in detail in the
Agency’s study review (Refs. 24 and 25).
As such, the Agency determined that
the RBC AChE inhibition data from the
two FMC comparative ChE studies were
unreliable and not useable in
extrapolating human health risk. In
addition, RBC data from a study
performed at EPA ORD did not provide
doses low enough to adequately
characterize the full dose-response in
PND11 rats. In the recent SAP review of
the draft carbofuran NOIC, the Panel
unanimously agreed with the Agency’s
conclusion, remarking that ‘‘[t]he
Agency is well-justified in taking the
position that the data on AChE
inhibition in rat RBC, particularly with
regard to the PND11 pups, are not
acceptable for the purpose of predicting
health risk from carbofuran’’ (Ref. 44).
By contrast, the brain AChE data from
the FMC and EPA-ORD studies are
acceptable and have been used in the
Agency’s dose-response analysis.
EPA has relied on a BMD approach
for deriving the PoD from the available
rat toxicity studies. A BMD is a point
estimate along a dose-response curve
that corresponds to a specific response
level. For example, a BMD10 represents
a 10% change from the background;
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10% is often used as a typical value for
the response of concern (Ref. 100).
Generically, the direction of change
from background can be an increase or
a decrease depending on the biological
parameter and the chemical of interest.
In the case of carbofuran, inhibition of
AChE is the toxic effect of concern.
Following exposure to carbofuran, the
normal biological activity of the AChE
enzyme is decreased (i.e., the enzyme is
inhibited). Thus, when evaluating BMDs
for carbofuran, the Agency is interested
in a decrease in AChE activity compared
to normal activity levels, which are also
termed ‘‘background’’ levels.
Measurements of ‘‘background’’ AChE
activity levels are usually obtained from
animals in experimental studies that are
not treated with the pesticide of interest
(i.e., ‘‘negative control’’ animals).
In addition to the BMD, a confidence
limit was also calculated. Confidence
limits express the uncertainty in a BMD
that may be due to sampling and/or
experimental error. The lower
confidence limit on the dose used as the
BMD is termed the BMDL, which the
Agency uses as the PoD. Use of the
BMDL for deriving the PoD rewards
better experimental design and
procedures that provide more precise
estimates of the BMD, resulting in
tighter confidence intervals. Use of the
BMDL also helps ensure with high
confidence (e.g., 95% confidence) that
the selected percentage of AChE
inhibition is not exceeded. From the
PoD, EPA calculates the RfD and aPAD.
Numerous scientific peer review
panels over the last decade have
supported the Agency’s application of
the BMD approach as a scientifically
supportable method for deriving PoDs
in human health risk assessment, and as
an improvement over the historically
applied approach of using no-observedadverse-effect levels (NOAELs) or
lowest-observed-adverse-effect-levels
(LOAELs). The NOAEL/LOAEL
approach does not account for the
variability and uncertainty in the
experimental results, which are due to
characteristics of the study design, such
as dose selection, dose spacing, and
sample size. With the BMD approach,
all the dose response data are used to
derive a PoD. Moreover, the response
level used for setting regulatory limits
can vary based on the chemical and/or
type of toxic effect (Refs. 40, 42, 43, and
100). Specific to carbofuran and other
NMCs, the FIFRA SAP has reviewed
and supported the statistical methods
used by the Agency to derive BMDs and
BMDLs on two occasions, February
2005 and August 2005 (Refs. 42 and 43).
Recently, in reviewing EPA’s draft
NOIC, the SAP again unanimously
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concluded that the Agency’s approach
in using a benchmark dose to derive the
PoD from carbofuran brain AChE data in
juvenile rats is ‘‘state of the art science
and the Panel strongly encouraged the
Agency to follow this approach for all
studies where possible’’ (Ref. 44).
In EPA’s BMD dose analysis to derive
PoDs for carbofuran, the Agency used a
response level of 10% brain AChE
inhibition and thus calculated BMD10s
and BMDL10s based on the available
carbofuran brain data. These values (the
central estimate and lower confidence
bound, respectively) represent the
estimated dose where AChE is inhibited
by 10% compared to untreated animals.
In the last few years EPA has used this
10% value to regulate AChE inhibiting
pesticides, including OPs and NMCs
including carbofuran. For a variety of
toxicological and statistical reasons,
EPA chose 10% brain AChE inhibition
as the response level for use in BMD
and BMDL calculations. EPA analyses
have demonstrated that 10% is a level
that can be reliably measured in the
majority of rat toxicity studies; is
generally at or near the limit of
sensitivity for discerning a statistically
significant decrease in AChE activity
across the brain compartment; and is a
response level close to the background
AChE level (Ref. 107)
The Agency used a meta-analysis to
calculate the BMD10 and BMDL10 for
pups and adults; this analysis includes
brain data from studies where either
adult or juvenile rats or both were
exposed to a single oral dose of
carbofuran. The Agency used a dosetime-response exponential model where
benchmark dose and half-life to
recovery can be estimated together. This
model and the statistical approach to
deriving the BMD10s, BMDL10s, and
half-life to recovery have been reviewed
and supported by the FIFRA SAP (Refs.
42, 43, and 44). The meta-analysis
approach offers the advantage over
using single studies by combining
information across multiple studies and
thus provides a robust PoD.
Using quality brain AChE data from
the three studies (two FMC, one EPAORD) conducted with PND11 rats, in
combination, provides data to describe
both low and high doses. By combining
the three studies in PND11 animals
together in a meta-analysis, the entire
dose-response range is covered. The
Agency believes the BMD analysis for
the PND11 brain AChE data is the most
robust analysis for purposes of PoD
selection.
The results of the BMD analysis for
PND11 pup brain AChE data provide a
BMD10 of 0.04 mg/kg/day and BMDL10
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of 0.03 mg/kg/day—this BMDL10 of 0.03
mg/kg/day provides the PoD (Ref. 89).
Some commenters provided extensive
critique with regard to the BMD
modeling conducted by the Agency.
However, ultimately, the BMDL10
recommended by the commenters
differs from the EPA’s BMDL10 by only
6% (0.031 mg/kg/day vs. 0.033 mg/kg/
day) — a difference that is not
biologically significant. Moreover, when
rounded to one significant digit, both
approaches yield the identical PoD of
0.03 mg/kg/day. Thus, although the
commenters are critical of the Agency’s
approach, there is basic consensus that
the PoD is approximately 0.03 mg/kg/
day.
As noted, although EPA does not
consider RBC AChE inhibition as an
adverse effect in its own right, in the
absence of data from peripheral tissues,
RBC AChE inhibition data are a critical
component to determining that a
selected PoD will be sufficiently
protective of PNS effects. Because of the
problems discussed previously with the
available RBC AChE inhibition data,
there remains uncertainty surrounding
the dose-response relationship for RBC
AChE inhibition in pups, which the
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EPA-ORD data clearly show to be a
more sensitive endpoint than brain
AChE inhibition. Consequently, EPA
cannot reliably estimate the BMD10 and
BMDL10 for RBC AChE data in pups.
Furthermore, given that the EPA-ORD
data clearly show pup RBC AChE to be
more sensitive than pup brain AChE,
EPA cannot conclude that reliance on
the pup brain data as the PoD would be
sufficiently protective of PNS effects in
pups. As a result of this uncertainty
EPA must retain some portion of the
children’s safety factor as described
below.
C. Safety Factor for Infants and Children
1. In general. Section 408 of FFDCA
provides that EPA shall apply an
additional tenfold margin of safety for
infants and children in the case of
threshold effects to account for prenatal
and postnatal toxicity and the
completeness of the data base on
toxicity and exposure unless EPA
determines, based on reliable data, that
a different margin of safety will be safe
for infants and children. Margins of
safety are incorporated into EPA
assessments either directly through use
of a margin of exposure analysis or
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through using uncertainty (safety)
factors in calculating a dose level that
poses acceptable risk to humans.
In applying the children’s safety
factor provision, EPA has interpreted
the statutory language as imposing a
presumption in favor of applying an
additional 10X safety factor (Ref. 105).
Thus, EPA generally refers to the
additional 10X factor as a presumptive
or default 10X factor. EPA has also
made clear, however, that the
presumption can be overcome if reliable
data demonstrate that a different factor
is safe for children (Id.). In determining
whether a different factor is safe for
children, EPA focuses on the three
factors listed in section 408(b)(2)(C) the completeness of the toxicity
database, the completeness of the
exposure database, and potential preand post-natal toxicity. In examining
these factors, EPA strives to make sure
that its choice of a safety factor, based
on a weight-of-the-evidence evaluation,
does not understate the risk to children.
(Id.). The Agency’s approach to
evaluating whether sufficient ‘‘reliable’’
data exist to support the reduction or
removal of the statutory default 10X is
described below in Figure 1.
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2. Prenatal and postnatal sensitivity.
Prenatal developmental toxicity studies
with carbofuran in rat and rabbit, in
addition to the reproductive toxicity
and developmental neurotoxicity (DNT)
studies do not provide evidence for
developmental or reproductive effects
from in utero exposure. Moreover,
effects noted in these studies are less
sensitive than AChE inhibition. Postnatal exposure to juvenile rat pups
provides the most sensitive lifestage in
available animal toxicology studies with
NMCs, including carbofuran (Refs. 19,
107, 108, and 124).
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As noted in the previous section,
there are several studies in juvenile rats
that show they are more sensitive than
adult rats to the effects of carbofuran.
These effects include inhibition of brain
AChE in addition to the incidence of
clinical signs of neurotoxicity (such as
tremors) at lower doses in the young
rats. The SAP concurred with EPA that
the data clearly indicate that the
juvenile rat is more sensitive than the
adult rat with regard to brain AChE (Ref.
44). However, the Agency does not have
AChE data for carbofuran in the
peripheral tissue of adult or juvenile
animals; nor does the Agency have
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adequate RBC AChE inhibition data at
low doses relevant to risk assessment to
serve as a surrogate in pups. As
previously noted the RBC AChE data
from both FMC supported studies are
not reliable and thus are not appropriate
for use in risk assessment. Although the
EPA studies did provide reliable RBC
data, they did not include data at the
low end of the dose-response curve,
which is the area on the dose-response
curve most relevant for risk assessment.
There is indication in a toxicity study
where pregnant rats were exposed to
carbofuran that effects on the PNS are of
concern; specifically, chewing motions
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or mouth smacking was observed in a
clear dose-response pattern immediately
following dosing each day (Ref. 116).
Based on this study, the California
Department of Pesticide Regulation
calculated a BMD05 and BMDL05 of 0.02
and 0.01 mg/kg/day, and established the
acute PoD (Refs. 15 and 44). These BMD
estimates are notable as they are close
to the values EPA has calculated for
brain AChE inhibition and which are
being used as the PoD for extrapolating
risk to children. It is important to note
that these clinical signs have been
reported for at least one other
cholinesterase inhibiting pesticide at
doses producing only blood, not brain,
AChE inhibition (Ref. 68). Thus,
although RBC AChE inhibition is not an
adverse effect, per se, blood measures
are used as surrogates in the absence of
peripheral tissue data. Assessment of
potential for neurotoxicity in peripheral
tissues is a critical element of hazard
characterization for NMCs like
carbofuran. The lack of an appropriate
surrogate to assess the potential for RBC
AChE inhibition at low doses is a key
uncertainty in the carbofuran toxicity
database. Thus, EPA cannot conclude
that reliance on the pup brain data
solely as the PoD will be protective of
PNS effects in pups.
To account for the lack of data in the
PNS and/or a surrogate (i.e., RBC AChE
inhibition data) in pups at the low end
of the response curve, and for the fact
that RBC AChE inhibition appears to be
a more sensitive point of departure
compared to brain AChE inhibition (and
is considered an appropriate surrogate
for the PNS), EPA is retaining a portion
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of the children’s safety factor. On the
other hand, there are data available,
albeit incomplete, which characterize
the toxicity of carbofuran in juvenile
animals, and the Agency believes the
weight-of-the-evidence supports
reducing the statutory factor of 10X to
a value lower than 10X. This results in
a children’s safety factor that is less than
10 but more than 1.
This modified children’s safety factor
should take into account the greater
sensitivity of the RBC AChE. The
preferred approach to comparing the
relative sensitivity of brain and RBC
AChE inhibition would be to compare
the BMD10 estimates. However, as
described above, BMD10 estimates from
the available RBC AChE inhibition data
are not reliable due to lack of data at the
low end of the dose response curve. As
an alternative approach, EPA has used
the ratio of brain to RBC AChE
inhibition at the BMD50, since there are
quality data at or near the 50% response
level such that a reliable estimate can be
calculated. There is, however, an
assumption associated with using the
50% response level—namely that the
magnitude of difference between RBC
and brain AChE inhibition is constant
across dose. In other words, EPA is
assuming the RBC and brain AChE dose
response curves are parallel. There are
currently no data to test this assumption
for carbofuran.
The Agency has determined that a
children’s safety factor of 4X is
appropriate based on a weight-ofevidence approach. This safety factor is
calculated using the ratio of RBC and
brain AChE inhibition, using the data on
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23075
administered dose for the PND11
animals from the EPA-ORD studies and
the FMC studies combined. In other
words, EPA estimated the BMD50 for
PND11 animals for RBC and brain from
each quality study and used the ratio
from the combined analysis, resulting in
a BMD50 ratio of 4.1X. EPA estimated
the RBC to brain potency ratio using
EPA’s data for RBC (the only reliable
RBC data in PND11 animals for
carbofuran) and all available data in
PND11 animals for brain.
EPA also compared the BMD50 ratios
for PND17 pups (who are slightly less
sensitive than 11-day olds; see Figure 2)
in the EPA-ORD study, to confirm that
the differences in sensitivity between
RBC and brain were not unique to the
PND11 data. The result of EPAs
modeling shows a BMD50 ratio of 2.64 X
between brain and RBC in the PND17
pups.
On the basis of the available data,
EPA believes that application of a 4X
factor will be ‘‘safe’’ for infants and
children. This selection was made based
on: (1) The remaining uncertainty
regarding lack of an appropriate
measure of peripheral toxicity (i.e., lack
of RBC AChE inhibition data at the low
end of the dose response curve), and (2)
the RBC to brain AChE ratio at the
BMD50 for PND11 animals of 4.1X.
4 One commenter noted that EPA had
inadvertently failed in its BMD analysis of the
PND17 data, to convert the units from hours to
minutes. EPA has corrected its error, and has
recalculated the BMD50s for the PND17 animals,
using the corrected times. The BMD50 ratio for brain
and RBC is now 2.6, rather than the 3.3 originally
estimated based on its original oversight.
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EPA presented its dietary risk
assessment of carbofuran to the FIFRA
SAP, and requested comment on the
Agency’s approach to selecting the PoD
and the children’s safety factor. As
described in the proposal, the Agency
believes that the Panel’s responses
unambiguously support the Agency’s
approach with regard to carbofuran’s
hazard identification and hazard
characterization (73 FR 44864). In
addition, EPA believes that, on balance,
the application of a 4X children’s safety
factor is consistent with the SAP’s
advice. Additional detail on the SAP’s
advice and EPA’s responses can be
found at Reference 34.
EPA received the greatest number of
comments for the proposed tolerance
revocation on the children’s safety
factor. However, none of the
commenters provided any new data nor
information that changes the Agency’s
major conclusions with regard to the
uncertainty factor, and the methodology
used to assess risks as a result of dietary
exposures to carbofuran.
In sum, EPA has concluded that there
is reliable data to support the
application of a 4X safety factor and has
therefore applied this safety factor in its
dietary risk estimates.
D. Hazard Characterization and Point of
Departure Conclusions.
The doses and toxicological endpoints
selected and Margins of Exposures for
various exposure scenarios are
summarized below.
TABLE 1.—TOXICOLOGY ENDPOINT SELECTION TABLE
Exposure Scenario
Dose Used in Risk Assessment, UF
FQPA factor and Endpoint
for Risk Assessment
Study and Toxicological Effects
BMDL10 = 0.03 mg/kg/day
UF = 100
Acute RfD = 0.0003 mg/kg/day
Children’s SF = 4X
aPAD = 0.000075 mg/kg/
day
Comparative AChE Studies in PND11 rats
(FMC and EPA-ORD)
BMD10 = 0.04 mg/kg/day
BMDL10 = 0.03 mg/kg/day, based on brain
AChE inhibition of postnatal day 11
(PND11) pups
Acute Dietary Youth
(13 and older) and
Adults
BMDL10 = 0.02 mg/kg/day
UF = 100
Acute RfD = 0.00024 mg/kg/day
aRfD = 0.0002 mg/kg/day
Comparative AChE Study (EPA-ORD), Padilla
et al (2007), McDaniel et al (2007)
BMD10 = 0.06 mg/kg/day
BMDL10 = 0.02 mg/kg/day, based on RBC
AChE inhibition in adult rat
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and Children
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E. Dietary Exposure and Risk
Assessment
1. Dietary exposure to carbofuran—
Food—a. EPA methodology and
background. As noted earlier, in their
September 29, 2008 comments on the
Agency’s risk assessment, FMC
requested cancellation of a large number
of domestic food uses, including, among
other uses, artichokes, peppers, and all
cucurbits except pumpkins. EPA
granted the request, and accordingly,
conducted a refined (Tier 3) acute
probabilistic dietary risk assessment for
the remaining carbofuran residues in
food. The remaining sources of ‘‘food’’
exposures are from the domestic uses of
field corn, potato, sunflower, pumpkins,
as well as milk (indirect residues
through use on corn, potatoes and
sunflower), and from four import
tolerances (bananas, coffee, sugarcane,
and rice). To conduct the assessment,
EPA relied on DEEM-FCID(TM), Version
2.03, which uses food consumption data
from the USDA’s CSFII from 1994–1996
and 1998.
Using data on the percent of the crop
actually treated with carbofuran and
data on the level of residues that may be
present on the treated crop, EPA
developed estimates of combined
anticipated residues of carbofuran and
3-hydroxycarbofuran on food. 3hydroxycarbofuran is a degradate of
carbofuran and is assumed to have toxic
potency equivalent to carbofuran (Refs.
16 and 20). Anticipated residues of
carbofuran for most foods were derived
using USDA PDP monitoring data from
recent years (through 2006 for all
available commodities). In some cases,
where PDP data were not available for
a particular crop, EPA translated PDP
monitoring data from surrogate crops
based on the characteristics of the crops
and the use patterns. For example, PDP
data for winter squash were used to
derive anticipated residues for
pumpkins.
The PDP analyzed for parent
carbofuran and its metabolite of
concern, 3-hydroxycarbofuran. Most of
the samples analyzed by the PDP were
measured using a high Level of
Detection (LOD) and contained no
detectable residues of carbofuran or 3hydroxycarbofuran. Consequently, the
acute assessment for food assumed a
concentration equal to one-half of the
LOD for PDP monitoring samples with
no detectable residues, and zero ppm
carbofuran to account for the percent of
the crop not treated with carbofuran.
An additional source of data on
carbofuran residues was provided by a
market basket survey of NMC pesticides
in single-serving samples of fresh fruits
and vegetables collected in 1999-2000
(Ref. 18), which was sponsored by the
Carbamate Market Basket Survey Task
Force. EPA relied on these data to
construct the residue distribution files
for bananas because the use of these
data resulted in more refined exposure
estimates. The combined Limits of
Quantitation (LOQs) for carbofuran and
its metabolite in the Market Basket
Survey (MBS) were between tenfold and
twentyfold lower than the combined
LODs in the PDP monitoring data.
For certain crops where PDP data
were not available (sugarcane, and
sunflower seed), anticipated residues
were based on field trial data. EPA also
relied on field trial data for particular
food commodities that are blended
during marketing (field corn and rice),
as use of PDP data can result in
significant overestimates of exposure
23077
when evaluating blended foods. Field
trial data are typically considered to
overestimate the residues that are likely
to occur in food as actually consumed
because they reflect the maximum
application rate and shortest preharvest
interval allowed by the label. However,
for crops that are blended during
marketing, such as corn or wheat, use of
field trial data can provide a more
refined estimate than PDP data, by
allowing EPA to better account for the
percent of the crop actually treated with
carbofuran.
EPA used average and maximum PCT
estimates for most crops, following the
guidance provided in HED SOP 99.6
(Classification of Food Forms with
Respect to level of Blending; 8/20/99),
and available processing and/or cooking
factors. The maximum PCT estimates
were used to refine the acute dietary
exposure estimates. Maximum PCT
ranged from <1 to 10%. The estimated
percent of the crop imported was
applied to crops with tolerances
currently maintained solely for import
purposes (banana, coffee, sugarcane,
and rice).
b. Acute dietary exposure (food alone)
conclusions. The estimated acute
dietary exposure from carbofuran
residues in food alone (i.e., assuming no
additional carbofuran exposure from
drinking water), are below EPA’s level
of concern for the U.S. Population and
all population subgroups. Children 1 to
2 years of age (78% aPAD) were the
most highly exposed population
subgroup when food only was included.
The major driver of the acute dietary
exposure risk (food only) for Children 1
to 2 years is milk at greater than 90%
of the exposure. (See results from Table
2 below).
TABLE 2.—RESULTS OF ACUTE DIETARY EXPOSURE ANALYSIS FOR FOOD ALONE
99th Percentile
aPAD (mg/
kg/day)
Population Subgroup
Exposure
(mg/kg/day)
99.9th Percentile
% aPAD
Exposure
(mg/kg/day)
% aPAD
All Infants (< 1 year old)
0.000075
0.000013
18
0.000039
52
Children 1–2 years old
0.000075
0.000024
32
0.000058
78
Children 3–5 years old
0.000075
0.000015
20
0.000034
45
Children 6–12 years old
0.000075
0.000010
13
0.000022
29
Exposure estimates for all of the major
food contributors were based on PDP
monitoring data adjusted to account for
the percent of the crop treated with
carbofuran and, therefore, may be
considered highly refined.
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As noted previously, in response to
comments, the Agency revised its PCT
estimates for the bananas from 78% to
25%. The Agency also developed a
regional PCT estimate for potatoes of
5% based on projected limited use in
the Northwest, and has applied that
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estimate in its revised dietary risk
assessment (Ref. 71). Based on the
estimated 5% crop treated for potato,
which is the highest PCT of any feed
stuff that can be treated with carbofuran,
EPA estimated a 5% CT for milk.
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The Agency notes that these PCT
changes on bananas, potatoes and milk
had relatively modest effects on the
dietary exposure estimates. The PCT
estimates are used by the Agency to
account for the fact that not all samples
are treated, and that some fraction of
samples (specifically, the complement
to the PCT fraction) actually have
residues of zero. This allows the Agency
to incorporate a residue concentration of
zero (a true zero) for that fraction of the
crop which is not treated and a residue
concentration of c the analytical limit of
detection for that portion of the crop
which is treated, but show no detectable
residues because of insufficient
sensitivity of the analytical method.
Specifically in this case, if one were to
assume for banana, potatoes, and milk
that all samples without detectable
residues were not treated and are thus
‘‘true zeroes,’’ then exposure at the per
capita 99.9th percentile falls only
slightly: from 77.8% to 75.2% of the
aPAD for children 1 to 2 years old, and
from 45.4% to 44.1% of the aPAD for
children 3-5 years old.
The relative insensitivity of exposure
estimates to PCT found under EPA’s
most recent risk assessment based on
the September 2008 revised label, is
counter to earlier sensitivity analyses
that the Agency performed that indicate
exposures at the per capita 99.9th
percentile fall by about 50% when all
non-detects were set at 0 ppm (Ref. 70).
Those effects were due to the
watermelons and other commodities
(cucumbers, cantaloupes) that were the
primary source of unacceptable single
exposures. The Half LODs for the four
domestic uses that the commenters
currently are interested in retaining, and
milk, are relatively low, such that
exposures from residues at Half LOD
concentrations produce nominal
contributions to high-end exposures.
As a further consequence of the
cancellation of the use on melons and
cucmbers, the risk assessment now
shows that single exposures from food
alone are not expected to be the source
of unacceptable single eating events.
However, as discussed in Unit VIII.E.2.
below, concerns still remain that
children will receive unacceptable
exposures from a single consumption of
contaminated drinking water. Further,
even after accounting for carbofuran’s
reversibility throughout the day and the
fact that drinking water can be
consumed over multiple occasions
during the day, EPA has concluded that
carbofuran exposures through the
drinking water pathway exceed the
Agency’s level of concern for infants
and children.
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2. Drinking water exposures. EPA’s
drinking water assessment uses both
monitoring data for carbofuran and
modeling methods, and takes into
account contributions from both surface
water and ground water sources (Refs.
17, 54, 58, 61, and 84). Concentrations
of carbofuran in drinking water, as with
any pesticide, are in large part
determined by the amount, method,
timing and location of pesticide
application, the chemical properties of
the pesticide, the physical
characteristics of the watersheds and/or
aquifers in which the community water
supplies or private wells are located,
and other environmental factors, such as
rainfall, which can cause the pesticide
to move from the location where it was
applied. While there is a considerable
body of monitoring data that has
measured carbofuran residues in surface
and ground water sources, the locations
of sampling and the sampling
frequencies generally are not sufficient
to capture peak concentrations of the
pesticide in a watershed or aquifer
where carbofuran is used. Capturing
these peak concentrations is particularly
important for assessing risks from
carbofuran because the toxicity endpoint of concern results from single-day
exposure (acute effects). Because
pesticide loads in surface water tend to
move in relatively quick pulses in
flowing water, frequent targeted
sampling is necessary to reliably capture
peak concentrations for surface water
sources of drinking water. Pesticide
concentrations in ground water,
however, are generally the result of
longer-term processes and less frequent
sampling can better characterize peak
ground water concentrations. However,
such data must be targeted at vulnerable
aquifers in locations where carbofuran
applications are documented in order to
capture peak concentrations. As a
consequence, monitoring data for both
surface and ground water tends to
underestimate exposure for acute
endpoints. Simulation modeling
complements monitoring by making
estimations at vulnerable sites and can
be used to represent daily concentration
profiles, based on a distribution of
weather conditions. Thus, modeling can
account for the cases when a pesticide
is used in drinking water watersheds at
any rate and is applied to a substantial
proportion of the crop. It can also
account for stochastic processes, such as
rainfall represented by 30 years of
existing weather data maintained by
NOAA.
a. Exposure to carbofuran from
drinking water derived from ground
water sources. Drinking water taken
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from shallow wells is highly vulnerable
to contamination in areas where
carbofuran is used around sandy, highly
acidic soil, although sites that are less
vulnerable (e.g., deeper aquifer, higher
organic matter) could still be prone to
have concentrations exceeding
acceptable exposures. The results of the
ground water modeling simulations
from the South-Central Wisconsin
scenario show that the persistence of
carbofuran in ground water is
dependent on soil and water pH, and
what might appear as relatively small
variations in soil pH can have a
significant impact on estimates of
carbofuran in ground water. Estimated
1–in–10-year peak ground water
concentrations at pH 7 are 1.6 x 10-3 μg/
L; however, the estimated 1–in–10-year
peak ground water concentration at pH
6.5 is 16 μg/L, nearly 4 orders of
magnitude greater. Because of
carbofuran’s sensitivity to pH, EPA has
concerns that any given set of mitigation
measures will not successfully protect
ground water source drinking water.
Data indicate that pH varies across an
agricultural field, and also with depth
(Ref. 64). In particular, the pH can be
different in ground water than in the
overlying soil. The upper bound of the
carbofuran concentrations estimated by
EPA at pH 6.5 is much greater than the
concentrations FMC report in their
comments.
In EPA’s revised assessment, ground
water concentrations were estimated for
all remaining crops on carbofuran
labels, and used two new Tier 2
scenarios. Based on a new corn
scenario, representative of potentially
vulnerable areas in the upper Midwest,
EPA estimated 1–in–10-year
concentrations for ground water source
drinking water of 16 to 1.6 x 10-3 μg/
L, for pH 6.5 and 7, respectively. A
potato scenario representing use in the
Northwest estimated no measurable
concentrations of carbofuran in ground
water. Other remaining uses were
modeled using a Tier 1 ground water
model (Screening Concentration inGroundwater) with estimated peak 90–
day concentrations of 48 – 178 μg/L,
depending on application rate. Well
setback prohibitions of 50 feet were
proposed on the new label for the
flowable and granular formulations in
select counties in Kentucky (seven
counties), Louisiana (one county),
Minnesota (one county), and Tennessee
(one county). Analysis of the impact of
these setbacks for the use on corn
indicated that the setbacks would not
reduce concentrations significantly at
locations where exposure to carbofuran
in ground water is of concern because
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at acid pHs, carbofuran does not
degrade sufficiently during the travel
time from the application site to the
well to substantially reduce the
concentration.
Exposure estimates for this
assessment are drawn primarily from
EPA’s modeling. To conduct its
modeling, EPA examined readily
available data with respect to ground
water and soil pH to evaluate the spatial
variability of pH. Ground water pH
values can span a wide range; this is
especially true for shallow ground water
systems, where local conditions can
greatly affect the quality and
characteristics of the water (higher or
lower pHs compared to average values).
Thus, average ground water pH values
for a given area do not truly characterize
the (temporal and especially spatial)
heterogeneity common in most areas.
This can be seen by comparing
differences in pH values between
counties within a state, and noting that
even within each county specific area,
wells will consistently yield ground
water with either above- or belowaverage pH values for that county. The
ground water simulations reflect
variability in pH by modeling
carbofuran leaching in four different pH
conditions (pH 5.25, 6.5, 7.0, and 8.7),
representing the range in the Wisconsin
aquifer system. The upper and lower
bound of pH values that EPA chose for
this assessment were measured values
from the aquifer, and the remaining two
values were chosen to reflect common
pH values between the measured values.
The Idaho potato scenario is
representative of areas where ground
water is relatively deep and the soils
have a relatively alkaline pH. The
results from the Idaho potato ground
water simulation estimated no
measurable concentrations of carbofuran
in ground water. This is consistent with
EPA’s findings above, as soils where
potatoes are typically grown are more
alkaline.
The results of EPA’s revised corn
modeling, based on a new scenario in
Wisconsin, are consistent with the
results of the PGW study developed by
the registrant in Maryland in the early
1980s. Using higher use rates than
currently permitted, the peak
concentration measured in the PGW
study was 65 ppb; when scaled to
current use rates, the estimated peak
concentration was 11 ppb. EPA’s
modeling is also consistent with a
number of other targeted ground water
studies conducted in the 1980s showing
that high concentrations of carbofuran
can occur in vulnerable areas; the
results of these studies as well as the
PGW study are summarized in
References 17 and 84. For example, a
study in Manitoba, Canada assessed the
movement of carbofuran into tile drains
and ground water from the application
of liquid carbofuran to potato and corn
fields. The application rates ranged
between 0.44–0.58 pounds a.i./acre, and
the soils at the site included fine sand,
loamy fine sand, and silt loam, with pH
ranging between 6.5-8.3. Concentrations
of carbofuran in ground water samples
ranged between 0 (non-detect) and 158
ppb, with a mean of 40 ppb (Refs. 17
and 84).
While there have been additional
ground water monitoring studies that
included carbofuran as an analyte since
that time, there has been no additional
monitoring targeted to carbofuran use in
areas where aquifers are vulnerable.
However, as discussed in the next
section, data compiled in 2002 by EPA’s
Office of Water show that carbofuran
was detected in treated drinking water
at a few locations. Based on samples
collected from 12,531 ground water
supplies in 16 states, carbofuran was
found at one public ground water
system at a concentration of greater than
7 ppb and in two ground water systems
23079
at concentrations greater than 4 ppb
(measurements below this limit were
not reported). An infant receiving these
concentrations receive 220% of the
aPAD or 130% aPAD, respectively,
based on a single 8 ounce serving of
water. As this monitoring was not
targeted to carbofuran, the likelihood is
low that these samples capture peak
concentrations. Given the lack of
targeted monitoring, EPA has primarily
relied on modeling to develop estimates
of carbofuran residues in ground water
sources of drinking water.
Based on EPA’s assessment, the
maximum 1–in–10–year peak
carbofuran concentrations in vulnerable
ground water for a single application on
corn in Wisconsin, at a rate of 1 pound
per acre were estimated to range from a
low of less than 1 ppb based on a pH
of 7 or higher, to a high of 16 ppb, based
on a pH of 6.55. Because the degradate,
3-hydroxycarbofuran, which is assumed
to be of equal potency with the parent
compound, was not measured in the
PGW study, and key environmental fate
data are not available to use in
modeling, exposure was not estimated.
Although the failure to include the
degradate is expected to underestimate
exposure to some degree, the extent to
which it would contribute to exposure
is unclear.
EPA compiled a distribution of
estimated carbofuran concentrations in
water based on these estimates that were
used to generate probabilistic
assessments of the potential exposures
from drinking water derived from
vulnerable ground water sources. The
results of EPA’s probabilistic
assessments are represented below in
Table 3. As discussed in the previous
section, it is important to remember that
the aPAD for carbofuran is quite low,
hence, relatively low concentrations of
carbofuran monitored or estimated in
vulnerable ground water can have a
significant impact on the aPAD utilized.
TABLE 3.—RESULTS OF ACUTE DIETARY (GROUND WATER ONLY) EXPOSURE ANALYSIS USING DEEM-FCID(TM) AND
INCORPORATING THE WISCONSIN GROUND WATER SCENARIO, PH OF 6.5 (REPRESENTING PRIVATE WELLS)
95th Percentile
aPAD (mg/
kg/day)
Population Subgroup
99th Percentile
99.9th Percentile
Exposure
(mg/kg/day)
% aPAD
Exposure
(mg/kg/day)
% aPAD
Exposure
(mg/kg/day)
% aPAD
All Infants (< 1 year old)
0.000075
0.001602
2,100
0.003536
4,700
0.007078
9,400
Children 1–2 years old
0.000075
0.000677
900
0.001481
2,000
0.003163
4,200
Children 3–5 years old
0.000075
0.000623
830
0.001345
1,800
0.002845
3,800
5 Although higher estimates were generated at a
pH of 5.25, use should be precluded in such sites
based on the September 2008 labels.
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TABLE 3.—RESULTS OF ACUTE DIETARY (GROUND WATER ONLY) EXPOSURE ANALYSIS USING DEEM-FCID(TM) AND
INCORPORATING THE WISCONSIN GROUND WATER SCENARIO, PH OF 6.5 (REPRESENTING PRIVATE WELLS)—Continued
95th Percentile
aPAD (mg/
kg/day)
Population Subgroup
99th Percentile
99.9th Percentile
Exposure
(mg/kg/day)
% aPAD
Exposure
(mg/kg/day)
% aPAD
Exposure
(mg/kg/day)
% aPAD
0.000075
0.000431
570
0.000934
1,200
0.002015
2,700
Youth 13–19 years old
0.0002
0.000334
170
0.000756
380
0.001743
870
Adults 20–49 years old
0.0002
0.000414
210
0.000893
450
0.001890
950
Adults 50+ years old
0.0002
0.000413
210
0.000852
430
0.001546
770
Children 6–12 years old
While the registrant has attempted to
address drinking water exposure from
ground water sources by including
additional restrictions on their
September 2008 proposed labels, EPA’s
analyses show that these do not
sufficiently reduce exposures to
acceptable levels. The proposed labels
include well setback prohibitions at 50–
foot-distances for the flowable and
granular formulations in a select set of
counties in Kentucky, Louisiana,
Minnesota, and Tennessee. The impact
of the well setbacks was modeled for the
corn use using the approach developed
for the NMC cumulative assessment
(Ref. 107), resulting in reductions in
concentrations that vary with pH (to
account for degradation of the
compound in subsurface flow from the
application site to a private well down
gradient). At acid pHs the slow
degradation rate reduced the
effectiveness of a 50–foot well setback at
the well head (1–in–10–year peak
concentration of 16 to 14 μg/L, a
reduction factor of 0.73 at pH 6.5).
Additional setback distances (100, and
300 ft) were evaluated using an aquifer
pH of 6.5, resulting in reduction factors
of 0.54 and 0.16, respectively. At
alkaline pH, the 50-foot setback is
effective, but concentrations at these
sites are already low due to hydrolytic
degradation occurring during recharge.
These results suggest that a 50–foot well
setback is less effective in low pH
environments due to the persistence of
carbofuran under these conditions.
In addition, the revised labels prohibit
use throughout the Atlantic Coastal
plain, and prohibit application to areas
with soils greater than 90% sand and
less than 1% organic matter, acidic soil
and water conditions, and where
shallow water tables predominate (e.g.,
where ground water is less than 30 feet).
While EPA agrees in principle that
precluding use in sites vulnerable to
leaching can mitigate the risks, and even
presuming that the methodology used
by FMC adequately identifies those
sites, these criteria are not sufficient to
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prohibit use in all areas that could
reasonably be expected to be vulnerable
to ground water contamination from
carbofuran use. Based on carbofuran’s
characteristics, a diversity of soil
conditions in the remaining proposed
use area, and available monitoring data,
there are valid scientific reasons to
believe that additional soil and site
characteristics could result in ground
water contamination. For example,
water table depth can vary with the time
of the year, depending on such factors
as the amount of rainfall that has
occurred in the recent past, and how
much irrigation has been applied to a
field or removed from the aquifer. It is
difficult to determine how the depth to
the water table varies throughout fields,
and the definition of a ‘‘shallow’’ water
table on the September 2008 label is
indeterminate (e.g., less than 30 ft.).
Furthermore, the vulnerability
associated with depth varies with
location, for example, deeper aquifers
may be vulnerable in areas with greater
precipitation and rapid recharge. The
September 2008 label restrictions in no
way addressed these less sensitive, but
still vulnerable, sites (Refs. 94 and 111).
Accordingly, EPA continues to believe
that its assessment of drinking water
from ground water sources based on
current labels is a reasonable assessment
of potential exposures to those portions
of the population consuming drinking
water from shallow wells in highly
vulnerable areas.
b. Exposure from drinking water
derived from surface water sources.
EPA’s evaluation of environmental
drinking water concentrations of
carbofuran from surface water, as with
its evaluation of ground water, takes
into account the results of both surface
water monitoring and modeling.
Data compiled in 2002 by EPA’s
Office of Water show that carbofuran
was detected in treated drinking water
at a few locations. Based on samples
collected from 12,531 ground water and
1,394 surface water source drinking
water supplies in 16 states, carbofuran
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was found at no public drinking water
supply systems at concentrations
exceeding 40 ppb (the MCL). Carbofuran
was found at one public ground water
system at a concentration of greater than
7 ppb and in two ground water systems
and one surface water public water
system at concentrations greater than 4
ppb (measurements below this limit
were not reported). Sampling is costly
and is conducted typically four times a
year or less at any single drinking water
facility. The overall likelihood of
collecting samples that capture peak
exposure events is, therefore, low. For
chemicals with acute risks of concern,
such as carbofuran, higher
concentrations and resulting risk is
primarily associated with these peak
events, which are not likely to be
captured in monitoring unless the
sampling rate is very high.
Unlike drinking water derived from
private ground water wells, drinking
water from public water supplies
(surface water or ground water source)
will generally be treated before it is
distributed to consumers. An evaluation
of laboratory and field monitoring data
indicate that carbofuran may be
effectively removed (60 – 100%) from
drinking water by lime softening and
activated carbon; other treatment
processes are less effective in removing
carbofuran (Ref. 107). The detections
between 4 and 7 ppb, reported above,
represent concentrations in samples
collected post-treatment. As such, these
levels are of particular concern to the
Agency. An infant who consumes a
single 8–ounce serving of water with a
concentration of 4 ppb, as detected in
the monitoring, would receive
approximately 130% of the aPAD from
water consumption alone. An infant
who consumes a single 8–ounce serving
of water with the higher detected
concentration of 7 ppb, as detected in
the monitoring, would receive
approximately 220% of the aPAD from
water consumption alone.
To further characterize carbofuran
concentrations in surface water (e.g.,
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streams or rivers) that may drain into
drinking water reservoirs, EPA analyzed
the extensive source of national water
monitoring data for pesticides, the
USGS NAWQA program. The NAWQA
program focuses on ambient water
rather than on drinking water sources, is
not specifically targeted to the high use
area of any specific pesticide, and is
sampled at a frequency (generally
weekly or bi-weekly during the use
season) insufficient to provide reliable
estimates of peak pesticide
concentrations in surface water. For
example, significant fractions of the data
may not be relevant to assessing
exposure from carbofuran use, as there
may be no use in the basin above the
monitoring site. Unless ancillary usage
data are available to determine the
amount and timing of the pesticide
applied, it is difficult to determine
whether non-detections of carbofuran
were due to a low tendency to move to
water or from a lack of use in the basin.
The program, rather, provides a good
understanding on a national level of the
occurrence of pesticides in flowing
water bodies that can be useful for
screening assessments of potential
drinking water sources. A detailed
description of the pesticide monitoring
component of the NAWQA program is
available on the NAWQA Pesticide
National Synthesis Project (PNSP) web
site (https://ca.water.usgs.gov/pnsp/).
A summary of the first cycle of
NAWQA monitoring from 1991 to 2001
indicates that carbofuran was the most
frequently detected carbamate pesticide
in streams and ground water in
agricultural areas. Overall, where
carbofuran was detected, these nontargeted monitoring results generally
found carbofuran at levels below 0.5
ppb. In the NMC assessment, EPA
summarized NAWQA monitoring for
carbofuran between 1991 and 2004.
Maximum surface-water concentrations
exceeded 1 ppb in approximately nine
agricultural watershed-based study
units, with detections in the sub-parts
per billion range reported in additional
watersheds (Ref. 107). The highest
concentrations of carbofuran are
reported from a sampling station on
Zollner Creek, in Oregon. Zollner Creek,
located in the Molalla-Pudding subbasin of the Willamette River, is not
directly used as a drinking water source.
This creek is a low-order stream and its
watershed is small (approximately 40
km2) and intensively farmed, with a
diversity of crops grown, including
plant nurseries. USGS monitoring at
that location from 1993 to 2006 detected
carbofuran annually in 40–100 % of
samples. Although the majority of
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concentrations detected there are also in
the sub-part per billion range,
concentrations have exceeded 1 ppb in
8 of the 14 years of sampling. The
maximum measured concentration was
32.2 ppb, observed in the spring of
2002. The frequency of detections
generally over a 14–year period suggests
that standard use practices rather than
aberrational misuse incidents in the
region are responsible for high
concentration levels at this location.
While available monitoring from other
portions of the country suggests that the
circumstances giving rise to high
concentrations of carbofuran may be
rare, overall, the national monitoring
data indicate that EPA cannot dismiss
the possibility of detectable carbofuran
concentrations in some surface waters
under specific use and environmental
conditions. Even given the limited
utility of the available monitoring data,
there have been relatively recent
measured concentrations of carbofuran
in surface water systems at levels above
4 ppb and levels of approximately 1 to
10 ppb measured in streams
representative of those in watersheds
that support drinking water systems
(Ref. 107). Based on this analysis, and
since monitoring programs have not
been sampling at a frequency sufficient
to detect daily-peak concentrations that
are needed to assess carbofuran’s acute
risk, the available monitoring data, in
and of themselves, are not sufficient to
establish that the risks posed by
carbofuran in surface drinking water are
below thresholds of concern. Nor can
the non-detections in the monitoring
data be reasonably used to establish a
lower bound of potential carbofuran risk
through this route of exposure.
To further characterize carbofuran
risk through drinking water derived
from surface water sources, EPA
modeled estimated daily drinking water
concentrations of carbofuran using
PRZM to simulate field runoff processes
and EXAMS to simulate receiving water
body processes. These models were
summarized in Unit V.B.2.
There are sources of uncertainty
associated with estimating exposure of
carbofuran in surface water source
drinking water. Several of the most
significant of these are the effect of
treatment in removing carbofuran from
finished drinking water before it is
delivered to the consumer supply
system, the impact of percent crop
treated assumptions, and the variation
in pH across the landscape. The effect
of the percent crop treated assumption
in the case of carbofuran is discussed in
detail in EPA’s assessment of additional
data submitted by the registrant (Refs.
22 and 94) and summarized below.
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23081
Available data on the degree to which
carbofuran may be removed from
treatment systems was summarized
previously and is discussed in more
detail in Appendix E-3 of the Revised
NMC CRA (Ref. 107). Although EPA is
aware of the mitigating effects of
specific treatment processes, the
processes employed at public water
supply utilities across the country vary
significantly both from location to
location and throughout the year, and
therefore are difficult to incorporate
quantitatively in drinking water
exposure estimates. For example, lime
softening would likely reduce
carbofuran concentrations. That process
is used in 3 to 21% of drinking water
treatment systems in the United States
(Ref. 19). Activated carbon has been
shown to also reduce carbofuran
concentrations, but is used in 1 to 15%
of drinking water treatment facilities
(Ref. ibid.). Therefore, EPA assumes that
there is no reduction in carbofuran
concentrations in surface water source
drinking water due to treatment, which
is a source of conservatism in surface
water exposure estimates used for
human health risk assessment. While it
is well established that carbofuran will
degrade at higher rates when the pH is
above 7, and lower rates when below pH
7, due to the high variation of pH across
the country for many of the scenarios,
a neutral pH (pH 7) default value was
used to estimate water concentrations.
Finally, available environmental fate
studies do not show formation of 3hydroxycarbofuran through most
environmental processes except soil
photolysis, where in one study it was
detected in very low amounts. Although
3-hydroxycarbofuran was not explicitly
considered as a separate entity in the
drinking water exposure assessment, it
is unclear whether it would
significantly add to exposure estimates.
EPA compiled a distribution of
estimated carbofuran concentrations in
surface water in order to conduct
probabilistic assessments of the
potential exposures from drinking
water. For the IRED, EPA modeled crops
representing 80 percent of total
carbofuran use at locations that would
be considered among the more
vulnerable where the crops are grown.
Subsequently, for a refined dietary risk
assessment, EPA generated distributions
for 13 different scenarios representing
all labeled uses of carbofuran treated at
maximum label rates and adjusted with
PCA factors (Refs. 17, 53, and 84).
EPA subsequently conducted several
rounds of modeling to refine estimates
for specific uses and agricultural
practices. One set of refinements
addressed use of carbofuran on corn at
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typical rather than maximum label rates,
another set included simulation of
different types of applications to corn
(e.g., applications to control European
corn borer, a rescue treatment for corn
rootworm, and an in-furrow application
at plant).
For this final rule, EPA conducted
additional refined modeling, based on
the September 2008 label submitted by
FMC. The modeling addressed all of the
domestic uses that remain registered,
and included certain refinements to
better understand the impacts of varying
pH. EPA also conducted modeling to
assess the impact of the proposed spray
drift buffer requirements and other
spray drift measures included on the
September label.
EPA estimated carbofuran
concentrations resulting from the use on
pumpkins by adjusting the EDWCs from
a previous run simulating melons in
Missouri; adjustments accounted for
differences in application rate and row
spacing. Two EDWCs were calculated
for pumpkins: One based on a 36–inch
row spacing, representing pumpkins for
consumption (77.6 μg/L); and a second
based on a 60–inch row spacing,
representing decorative pumpkins (46.6
μg/L).
EPA had previously evaluated the
corn rootworm rescue treatment at
seven representative sites, representing
use in states with extensive carbofuran
usage at locations more vulnerable than
most in each state in areas corn is
grown. Using measured rainfall values,
and assuming typical rather than
maximum use rates, peak
concentrations for the corn rescue
treatments simulated for Illinois, Iowa,
Indiana, Kansas, Minnesota, Nebraska,
and Texas ranged from 16.6 – 36.7 ppb
(Ref. 61). Under the revised assessment
to account for the new use restrictions,
concentrations for corn, calculated
including the proposed spray drift
buffers in Kansas and Texas, decreased
5.1% and 4.7%, respectively, from
simulations with no buffer from the
previous assessment (Ref. 61). In
Kansas, the 1–in–10-year peak EDWCs
decreased from 33.5 to 31.8 ppb when
a 300–foot buffer was added, and in
Texas, from 29.9 to 28.5 ppb with the
addition of a 66–foot buffer.
For the sunflower use, 12 simulations
were performed for sunflowers, 9 in
Kansas, and 3 in North Dakota. The
North Dakota scenario was used to
represent locations where sunflowers
are grown that are vulnerable to
pesticide movement to surface water
while the Kansas scenario represents
places that are not particularly
vulnerable, based on the limited rainfall
and generally well-drained soils
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(hydrologic group B soils) that are found
in that area. Estimated 1–in–10–year
concentrations ranged from 11.6 to 32.7
μg/L. When simulating three
applications, one at plant and two foliar
with a 14–day interval between the two
foliar applications and a 66–foot buffer,
the 1–in–10-year peak EDWC for North
Dakota was 22.4 μg/L. In contrast, the
same three applications in Kansas with
a 14–day interval between the foliar
applications and a 300-foot buffer
produced a 1–in–10-year peak EDWC of
20.5 μg/L. The 1–in–10–year peak
EDWCs assuming that carbofuran is
applied only at plant were 14.0 and 16.0
μg/L in Kansas and North Dakota
respectively. EPA also evaluated the
impact of pH on carbofuran
concentrations for sunflowers, resulting
in a 10% decrease in 1–in–10–year peak
concentrations assuming high pH in the
reservoir. Spray drift buffers of 66 and
300 feet decreased concentrations 4.7
and 5.1% for corn and 10.0% and
16.0% for sunflowers, respectively, in
comparison to previous labels that had
no spray drift buffer requirements.
Additional details on these assessments
can be found at Reference 111.
Consistent with the analysis
summarized above these predicted
carbofuran water concentrations are
similar or lower than the peak
concentrations reported in the USGSNAWQA monitoring data and similar to
or not more than tenfold higher than the
4 ppb reported in finished water from a
surface water drinking plant.
There are few surface water field-scale
studies targeted to carbofuran use that
could be compared with modeling
results. Most of these studies were
conducted in fields that contain tile
drains, which is a common practice
throughout midwestern states to
increase drainage in agricultural fields
(Ref. 17). Drains are common in the
upper Mississippi river basin (Illinois,
Iowa, and the southern part of
Minnesota), and the northern part of the
Ohio River Basin (Indiana, Ohio, and
Michigan) (Ref. 74). Although it is not
possible to directly correlate the
concentrations found in most of the
studies with drinking water
concentrations, these studies confirm
that carbofuran use under such
circumstances can contaminate surface
water, as tile drains have been identified
as a conduit to transport water and
contaminants from the field to surface
waters. For example, one study
conducted in the United Kingdom in
1991 and 1992 looked at concentrations
in tile drains and surface water treated
at a rate of 2.7 lbs a.i. per acre (granular
formulation). Resulting concentrations
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in surface water downstream of the field
ranged from 49.4 ppb almost 2 months
after treatment to 0.02 ppb 6 months
later, and were slightly lower than
concentrations measured in the tile
drains, which were a transport pathway.
Even with the factors that limit the
study’s relevance to the majority of
current carbofuran use—the high use
rate and granular formulation—the
study clearly confirms that tile drains
can serve as a source of significant
surface water contamination. Although
EPA’s models do not account for tile
drain pathways, and acknowledging the
uncertainties in comparing carbofuran
monitoring data to the concentrations
predicted from the exposure models, as
noted previously, estimated (modelderived) peak concentrations of
carbofuran are similar to peak
concentrations reported in stream
monitoring studies. These are no more
than tenfold higher than a value
reported from a drinking water plant
where it is unlikely the sample design
would have ensured that water was
sampled on the day of the peak
concentration.
EPA conducted dietary exposure
analyses based on the modeling
scenarios for the proposed September
2008 label. Exposures from all modeled
scenarios substantially exceeded EPA’s
level of concern (Ref. 16). For example,
a Kansas sunflower scenario, assuming
two foliar applications at a typical 1-lb
a.i. per acre use rate, applied at 14–day
intervals, estimated a 1–in–10-year peak
carbofuran water concentration of 11.6
ppb. Exposures at the 99.9th percentile
based on this modeled distribution
ranged from 160% of the aPAD for
youths 13 to 19 years, to greater than
2,000% of the aPAD for infants. As
previously noted, this scenario is
intended to be representative of sites
that are less vulnerable than most on
which sunflowers could be grown. By
contrast, exposure estimates from a
comparable North Dakota sunflower
scenario, intended to represent more
vulnerable sites, estimated a 1–in–10year peak concentration of 22.4 ppb.
These concentrations would result in
estimated exposures ranging between
450% aPAD for youths 13 to 19 years,
to 5,500% aPAD for infants. Similarly,
exposures based on a Washington
surface water potato scenario, and using
a 3 lb a.i. acre rate, ranged from 230%
of the aPAD for children 6 to 12 years
to 890% of the aPAD for infants, with
a 1–in–10-year peak carbofuran
concentration of 7.2 ppb. Although
other crop scenarios resulted in higher
exposures, estimates for these two crops
are presented here, as they are major
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crops on which a large percentage of
carbofuran use occurs. More details on
these assessments, as well as the
assessments EPA conducted for other
crop scenarios, can be found in
References 16, 61, and 84.
Restricting the sunflower application
to a single at-plant application from
three applications reduces the 1–in–10–
year peak EDWCs from 32.7 to 16.0 μg/
L for the North Dakota scenario and
from 20.5 to 14.0 μg/L in western
Kansas. These concentrations would
result in estimated exposures, based on
the North Dakota scenario ranging
between 350% aPAD for youths 13 to 19
years, to 4,300% aPAD for infants.
Based on the Kansas scenario, the
estimated exposures would range
between 250% aPAD for youths 13 to 19
years, to 3,100% aPAD for infants.
Table 4 below presents the results of
one of EPA’s refined exposure analyses
that is based on a Nebraska corn
rootworm ‘‘rescue treatment’’ scenario,
and assumes a single aerial application
at a typical rate of 1-pound a.i. per acre.
To simulate an application made postplant, at or near rootworm hatch, EPA
modeled an application of carbofuran 30
days after crop emergence. EPA used a
crop specific PCA of 0.46 which is the
maximum proportion of corn acreage in
a HUC-8–sized basin in the United
23083
States. (The USGS has classified all
watersheds in the United States into
basins of various sizes, according to
hydrologic unit codes, in which the
number of digits indicates the size of the
basin). The full distribution of daily
concentrations over a 30–year period
was used in the probabilistic dietary
risk assessment. The 1–in–10–year peak
concentration of the distribution of
values for the Nebraska corn rescue
treatment was 22.3 ppb. More details on
these assessments, as well as the
assessments EPA conducted for other
crop scenarios, can be found in
References 16, 61, and 84.
TABLE 4.—RESULTS OF ACUTE DIETARY (SURFACE WATER ONLY) EXPOSURE ANALYSIS INCORPORATING THE NEBRASKA
CORN ROOTWORM RESCUE SCENARIO
95th Percentile
aPAD (mg/
kg/day)
Population Subgroup
99th Percentile
99.9th Percentile
Exposure
(mg/kg/day)
% aPAD
Exposure
(mg/kg/day)
% aPAD
Exposure
(mg/kg/day)
% aPAD
All Infants (< 1 year old)
0.000075
0.000424
560
0.001201
1,600
0.002895
3,900
Children 1–2 years old
0.000075
0.000182
240
0.0005047
670
0.001261
1,700
Children 3–5 years old
0.000075
0.000169
230
0.000461
620
0.001137
1,500
Children 6–12 years old
0.000075
0.000117
160
0.000320
430
0.000794
1,100
Youth 13–19 years old
0.0002
0.000087
43
0.000248
120
0.000760
380
Adults 20–49 years old
0.0002
0.000113
57
0.000305
150
0.000760
380
Adults 50+ years old
0.0002
0.000120
60
0.000300
150
0.000672
340
The populations described in the
‘‘Nebraska corn’’ assessments are those
people who consume water from a
reservoir located in a small watershed
predominated by corn production (with
the assumption that treatment does not
reduce carbofuran concentrations). The
only crop treated by carbofuran in the
watershed is corn, and all of that crop
is assumed treated with carbofuran at
the rate of 1 lb per acre. To the extent
a drinking water plant drawing water
from the reservoir normally treats the
raw intake water with lime softening or
activated carbon processes the finished
water concentrations could be reduced
from 60 to 100% with the resultant
aPADs ranging from approximately
198% to 2,340% of the aPAD to 0% of
the aPAD, respectively, at the 99.9th
percentile of exposure.
As discussed in the previous sections,
it is important to remember that
carbofuran’s aPAD is quite low, hence
relatively low concentrations of
carbofuran monitored or estimated in
surface water can have a significant
impact on the percent of the aPAD
utilized. Thus, while the refined
carbofuran water concentrations for the
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corn ‘‘rescue’’ treatment in the range of
approximately 16.6 to 36.7 ppb are
comparable to maximum peak
concentrations reported in the
monitoring studies, these concentrations
can result in very significant
exceedences of the aPAD for various age
groups, primarily because carbofuran is
inherently very toxic.
As noted, EPA’s modeling indicates
that while there is some mitigation
value in the use of spray drift buffers,
the loading to surface water is
dominated by runoff even in semi-arid
locations such as western Kansas, and
the proposed mitigation measures do
not substantially reduce exposure to
carbofuran in surface water source
drinking water systems.
It is important to note that spray drift
calculations have been conducted
assuming that certain BMPs were used
during the aerial spray application.
Those practices are c swath
displacement windward, a 10 foot
release, wind speed no greater than 10
mph, and a spray boom less than 75%
of the aircraft’s wing (Ref. 106). There is
advisory language on the revised labels
regarding wind speed (‘‘Drift potential
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increases at wind speeds less the 3 mph
(due to inversion potential) or more
than 10 mph,’’ and boom height
(‘‘setting the boom to the lowest height
(if specified) which provides uniform
coverage reduces the exposure of
droplets to evaporation and wind.’’).
The boom width is specifically
restricted (‘‘the boom length should not
exceed d the wing or rotor length.’’).
There is no language on the label
regarding swath displacement. While
these ‘‘best management practices’’ are
frequently used by aerial applicators,
they are not used universally. To the
extent these management practices are
not used, EPA’s assessment would
underestimate the additional loading
expected to result from spray drift.
Equally important is that EPA only
assumed that the buffers would be
effective in reducing spray drift from
neighboring fields, rather than assuming
that the buffers would be effective in
preventing or mitigating field runoff. As
explained in the proposed rule, EPA
disagrees that these measures will be
effective in reducing carbofuran’s
movement to surface water. The
proposed buffers were for fields where
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soils were considered to be highly
erodible. Buffer widths varied, and were
to be vegetated with ‘‘crop, seeded with
grass, or other suitable crop.’’ In 2000,
EPA participated in the development of
a guidance document on how to reduce
pesticide runoff using conservation
buffers (Ref. 98). Results of this effort
found that properly designed buffers
can reduce runoff of weakly absorbed
pesticides like carbofuran by increasing
filtration so that the pesticide can be
trapped and degraded in the buffer.
However, it is of critical importance that
sheet flow be maintained across the
buffer in order for this to occur. To
ensure sheet flow, buffers need to be
specifically designed for that purpose
and they must be well-maintained, as
over time sediment trapped in the buffer
causes flow to become more
channelized and the buffer then
becomes ineffective. The guidance
concludes that un-maintained, unvegetated buffers around water bodies,
often referred to a ‘setback,’ are
ineffective in reducing pesticide
movement to surface water.
As discussed in Unit VII.C.2., FMC
has criticized EPA’s assessment for
failing to account more fully for the
percent of the crop likely to be treated
in its modeling. In response to FMC’s
concerns, EPA performed a sensitivity
analysis of an exposure assessment
using a PCT in the watershed to
determine the extent to which some
consideration of this factor could
meaningfully affect the outcome of the
risk assessment. The registrant has at
different times, suggested the
application of a 5 or 10% crop treated
factor based on county sales data. While
substantial questions remain as to the
support for these percentages for a given
basin where carbofuran may be used,
EPA used the upper figure for the
purpose of conducting a sensitivity
analysis. To be clear, this means that
EPA assumed that 10% of the 46% of
the watershed on which corn could be
grown, would be treated with
carbofuran, resulting in less than 5% of
the watershed treated with carbofuran—
an assumption that clearly
underestimates exposures in many
highly agricultural areas, such as
Nebraska, and as discussed previously,
requires several unrealistic
assumptions. The results suggest that,
even at levels below 10% crop treated,
exposures from drinking water derived
from surface waters can contribute
significantly to the aggregate dietary
risks, particularly for infants and
children. For example, applying a 10%
crop treated figure to the Nebraska corn
scenario described above, in addition to
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the corn-PCA of 0.46 incorporated into
that scenario, results in estimated
exposures from water alone, ranging
from 110% of the aPAD for children 6
to 12 years to 390% of the aPAD for
infants, assuming water treatment
processes do not affect concentrations in
drinking water consumed. Details on the
assessments EPA conducted for other
crop scenarios, which showed higher
contributions from drinking water, can
be found in References 16, 17, and 84.
Accordingly, these assessments suggest
that EPA’s use of PCA alone, rather than
in conjunction with PCT, will not
meaningfully affect the carbofuran risk
assessment, as even if EPA were to
apply an extremely low PCT, aggregate
exposures would still exceed 100% of
the aPAD.
In response to this sensitivity
analysis, which had been presented in
the proposed rule, FMC complained that
EPA had failed to account in these
analyses for the rapid nature of
carbofuran’s recovery. Or in other
words, the commenter wanted EPA to
both apply a PCT figure and conduct an
Eating Occasion Analysis, claiming that
this analysis would show that
carbofuran ‘‘passed.’’
EPA disagrees that conducting the
analysis the commenter suggests would
be appropriate, or would provide any
information on which EPA could
properly rely to support a determination
of safety. As previously explained, the
available information and methodology
does not allow EPA to generate PCT
estimates with any degree of confidence,
and certainly not with the ‘‘reasonable
certainty’’ demanded by the statute.
EPA conducted its analysis purely in an
attempt to understand the extent to
which its assumption of PCT affected
the risk assessment conclusions. It is not
necessary to gain an understanding of
the PCT impact, to compound the
uncertainty by adding assumptions
about the reversibility of carbofuran’s
effects.
The commenter provided the results
of their dietary assessment, in which
they appear to have conducted the
analysis suggested above, and reported
that the aPAD for infants from aggregate
exposures (i.e., food + water) was
107.06%. As previously discussed, the
commenter did not provide any of the
underlying support documentation for
these reported results, and EPA was
unable to replicate them. However, in
its efforts to replicate the commenter’s
analysis, the lowest aggregate exposure
EPA was able to estimate for infants
using the commenter’s PCT and half-life
inputs was 126% of the aPAD, a figure
that, for reasons discussed
subsequently, is certainly an
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underestimate of exposure. Further
discussion of the Eating Occasion
Analyses EPA conducted for carbofuran
is presented in Unit VIII.E.1.d. and in
Reference 112.
In conclusion, the large difference
between concentrations seen in the
monitoring data on the low side, and the
simulation modeling on the high side, is
an indication of the uncertainty in the
assessment for surface-water source
drinking water exposure. The majority
of drinking water concentrations
resulting from use of carbofuran are
likely to be occurring at higher
concentrations than those measured in
most monitoring studies, but below
those estimated with simulation
modeling; however the exact values
within the range obtained from the
monitoring and the model simulations
are uncertain. However, the monitoring
data show a consistent pattern of low
concentrations, with the occasional,
infrequent spike of high concentrations.
Those infrequent high concentrations
are consistent with EPA’s modeling,
which is intended to capture the
exposure peaks. For a chemical with an
acute risk, like carbofuran, the spikes or
peaks in exposures, even though
infrequent, are the most relevant for
assessing the risks. And, as previously
noted, the available monitoring has its
own limitations for estimating exposure
for risk assessment.
Further, the results of the modeling
analyses provide critical insights
regarding locations in the country where
the potential for carbofuran
contamination to surface water and
associated drinking water sources is
more likely. These locations include
areas with soils prone to runoff (such as
those high in clay or containing
restrictive layers), in regions with
intensive agriculture with crops on
which carbofuran is used (e.g., corn),
which have high rainfall amounts and/
or are subject to intense storm events in
the spring around the times applications
are being made. Drinking water facilities
with small basins tend to be more
vulnerable, as it is more likely that a
large proportion of the crop acreage will
be treated in small basins.
3. Aggregate dietary exposures (food
and drinking water). EPA conducted a
number of probabilistic analyses to
combine the national food exposures
with the exposures from the individual
region and crop-specific drinking water
scenarios. As discussed in Unit V.B.3.,
although food is distributed nationally,
and residue values are therefore not
expected to vary substantially
throughout the country, drinking water
is locally derived and concentrations of
pesticides in source water fluctuate over
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time and location for a variety of
reasons. Consequently, EPA conducted
several estimates of aggregate dietary
risks by combining exposures from food
and drinking water. These estimates
showed that, because drinking water
exposures from any of the crops on the
label exceed safe levels, aggregate
exposures from food and water are
unsafe. Although EPA’s assessments
showed that, based on the Idaho potato
scenarios, exposures from ground water
from use on potatoes would be safe,
surface water exposures from carbofuran
use on potatoes far exceed the safety
standard. More details on the individual
aggregate assessments presented below,
as well as the assessments EPA
conducted for other regional and crop
scenarios, can be found in References 16
and 17.
23085
Table 5 reflects the results of
aggregate exposures from food and from
drinking water derived from ground
water in extremely vulnerable areas (i.e.,
from shallow wells associated with
sandy soils and acidic aquifers, such as
are found in Wisconsin). The estimates
range between 780% of the aPAD for
adults, to 9,400% of the aPAD for
infants.
TABLE 5.—RESULTS OF ACUTE DIETARY (FOOD AND WATER) EXPOSURE ANALYSIS INCORPORATING THE WISCONSIN
GROUND WATER SCENARIO PH 6.5
95th Percentile
aPAD (mg/
kg/day)
Population Subgroup
99th Percentile
99.9th Percentile
Exposure
(mg/kg/day)
% aPAD
Exposure
(mg/kg/day)
% aPAD
Exposure
(mg/kg/day)
% aPAD
All Infants (< 1 year old)
0.000075
0.001602
2,100
0.003537
4,700
0.007053
9,400
Children 1–2 years old
0.000075
0.000680
910
0.001490
2,000
0.003180
4,200
Children 3–5 years old
0.000075
0.000626
840
0.001350
1,800
0.002845
3,800
Children 6–12 years old
0.000075
0.000432
580
0.000935
1,200
0.002019
2,700
Youth 13–19 years old
0.0002
0.000334
170
0.000751
380
0.001721
860
Adults 20–49 years old
0.0002
0.000415
210
0.000896
450
0.001906
950
Adults 50+ years old
0.0002
0.000415
210
0.000853
430
0.001552
780
The peak concentration estimates in
the Wisconsin ground water scenario
time series are consistent with
monitoring data from wells in
vulnerable areas where carbofuran was
used. For example, the maximum water
concentration from the time series is 34
ppb while maximum values from a
targeted ground water monitoring study
in Maryland, with a higher application
rate, was 65 ppb, with studies at other
sites having similar or higher peak
concentrations (Refs. 17 and 84). For
studies with multiple measurements at
each well, central tendency estimates
were also in the same range as the time
series. For example, the mean
carbofuran concentration from wells
under no-till agriculture in Queenstown,
MD was 7 ppb, while the median for the
modeling was 15.5 ppb. The 90–day
average concentration, based on the
registrant’s PGW study conducted on
corn in the Delmarva (adjusted for
current maximum application rates) is
11 ppb.
Table 6 presents the results of
aggregate exposure from food and water
derived from one of the least
conservative surface water scenarios:
Kansas sunflower, with two foliar
applications. This table reflects the risks
only for those people in watersheds
with characteristics similar to that used
in the scenario, and assuming that water
treatment does not remove carbofuran.
As discussed previously, the estimated
water concentrations are comparable to
the maximum peak concentrations
reported in monitoring studies that were
not designed to detect peak, daily
concentrations of carbofuran in
vulnerable locations.
TABLE 6.—RESULTS OF ACUTE DIETARY (FOOD AND WATER) EXPOSURE ANALYSIS USING THE DEEM-FCID(TM) AND
INCORPORATING THE KANSAS SURFACE WATER SUNFLOWER FOLIAR APPLICATION PH 7.8 SCENARIO
95th Percentile
Population Subgroup
aPAD (mg/
kg/day)
99th Percentile
99.9th Percentile
Exposure
(mg/kg/day)
% aPAD
Exposure
(mg/kg/day)
% aPAD
Exposure
(mg/kg/day)
% aPAD
All Infants (< 1 year old)
0.000075
0.000087
120
0.000425
570
0.001555
2100
Children 1–2 years old
0.000075
0.000044
59
0.000185
250
0.000660
880
Children 3–5 years old
0.000075
0.000039
53
0.000172
230
0.000610
800
Children 6–12 years old
0.000075
0.000027
36
0.000117
160
0.000416
560
Youth 13–19 years old
0.0002
0.000019
10
0.000089
45
0.000330
160
Adults 20–49 years old
0.0002
0.000026
13
0.000114
57
0.000395
200
Adults 50+ years old
0.0002
0.000028
14
0.000119
60
0.000373
190
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More details on this assessment, as
well as the assessments EPA conducted
for other crop scenarios, can be found in
References 16, 61, and 84. For example,
in the proposed rule, EPA presented the
results from aggregate exposures
resulting from a Nebraska surface water
scenario based on a Nebraska corn
rootworm ‘‘rescue treatment.’’ Estimated
exposures from that scenario ranged
from 330% of the aPAD for youths 13
to 19 years to 3,900% of the aPAD for
infants.
As noted previously, EPA’s food and
water exposure assessments typically
sum exposures over a 24–hour period,
and EPA used this 24–hour total in
developing its acute dietary risk
assessment for carbofuran. Because of
the rapid nature of carbofuran toxicity
and recovery, EPA considered durations
of exposure less than 24 hours.
Accordingly, EPA has conducted an
analysis using information about dietary
exposure, timing of exposure within a
day, and half-life of AChE inhibition
from rats to estimate risk to carbofuran
at durations less than 24 hours.
Specifically, EPA has evaluated
individual eating and drinking
occasions and used the AChE half-life to
recovery information (herein called halflife information) to estimate the residual
effects from carbofuran from previous
exposures within the day. The
carbofuran analyses are described in the
2009 aggregate (dietary) memo (Ref. 71).
EPA used the same approach for
considering the impact of carbofuran’s
rapid reversibility on exposure
estimates in the food and drinking water
risk assessments that had been
previously used in the cumulative risk
assessment of the NMC pesticides and/
or risk assessments for other NMC
pesticides (e.g., methomyl and aldicarb)
(Ref. 107).
Using the two FMC time course
studies in rat pups, EPA calculated halflives for recovery of 186 and 426
minutes. The two values were derived
from two different studies using rat
pups of the same age (Refs. 30 and 31);
the two values provide an indication
that half-lives to recovery can vary
among juvenile rats. By extension,
children are expected to vary in their
ability to recover from AChE inhibition
where longer recoveries would be
associated with a potentially higher
‘‘persisting dose’’ (as described below).
Incorporating Eating Occasion Analysis
and the 186–minute or 426–minute
recovery half-lives for carbofuran into
the food only analysis does not
significantly change the risk estimates
when compared to baseline levels (for
which a total daily consumption basis –
and not eating occasion - was used).
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From this, it is apparent that modifying
the analysis such that information on
eating (i.e., food) occasions and
carbofuran half-life is incorporated
results in only minor reductions in
estimated risk from food alone.
Regarding drinking water exposure,
accounting for drinking water
consumption throughout the day and
using the half-life to recovery
information, risk is reduced by
approximately 2-3X. Consequently, risk
estimates for which food and drinking
water are jointly considered and
incorporated (i.e., Food + Drinking
Water) are also reduced considerably—
by a factor of two or more in some
cases—compared to baseline. This is not
unexpected, as infants receive much of
their exposures from indirect drinking
water in the form of water used to
prepare infant formula, as shown in the
above example. But even though the risk
estimates from aggregate exposure are
reduced, they nonetheless still
substantially exceed EPA’s level of
concern for infants and children. Using
drinking water derived from the surface
water from the Idaho potato surface
water scenario, which estimated one of
the lowest exposure distributions,
aggregate exposures at the 99.9th
percentile ranged from 328% of the
aPAD under the scenario for which
infants rapidly metabolize carbofuran
(e.g., 186 minute half-life), to a high of
473% of the aPAD under the scenario
for which infants metabolize carbofuran
more slowly, (e.g., scenarios in which a
426 minute half life is assumed).
Moreover, even accounting for the
estimated decreased risk from
accounting for carbofuran’s rapid
reversibility, the Agency remains
concerned about the risks from single
eating or drinking events, as illustrated
in the following example, based on an
actual food consumption diary from the
CSFII survey. A 4–month old male nonnursing infant weighing 10 kg is
reported to have consumed a total of
1,070 milliters (ml) of indirect water
over eight different occasions during the
day. The first eating occasion occurred
at 6:30 a.m., when this 4 month old
consumed 8 fluid ounces of formula
prepared from powder. The FCID food
recipes indicate that this particular food
item consists of approximately 87.7%
water, and therefore, 8 ounces of
formula contains approximately 214 ml
(or grams) of indirect water; with the
powder (various nutrients, dairy, soy,
oils, etc.) accounting for the remaining
12.3%. This infant also reportedly
consumed a full 8–ounce bottle of
formula at 12 p.m., 4 p.m., and 8 p.m.
that day. The food diary also indicates
that the infant consumed about 1
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tablespoon of water (14.8 ml) added to
prepare rice cereal at 10:00 a.m., about
2 ounces of water (59.3 ml) added to
pear juice at 11 a.m., another c tsp of
water (2.5 ml) to prepare more rice
cereal at 8:30 p.m.; and finally, he
consumed another 4 ounces of formula
(107 ml) at 9:30 p.m.
The infant’s total daily water intake
(1,070 ml, or approximately 107 ml/kg/
day) is not overly conservative, and
represents substantially less than the
90th percentile value from CSFII on a
ml water/kg bodyweight (ml/kg/bw)
basis. As noted, carbofuran has been
detected in finished water at
concentrations of 4 ppb. For this 10 kg
body weight infant, an 8–ounce bottle of
formula prepared from water containing
carbofuran at 4 ppb leads to drinking
water exposures of 0.0856 micrograms
of active ingredient/kilogram of
bodyweight (μg ai/kg bw), or 114% of
the aPAD. Based on the total daily water
intake of 1,070 ml/day (no reversibility),
total daily exposures from water at 4
ppb concentration would amount to
0.4158 μg ai/kg bw, or 555% of the
aPAD; this is the amount that would be
used for this person-day in the Total
Daily Approach.
Peak inhibition occurs following each
occasion on which the infant consumed
8 fluid ounces of formula (6 a.m., 12
p.m., 4 p.m. and 8 p.m.); however, the
maximum persisting dose occurs
following the 9:30 p.m. eating occasion,
based on a 186–minute half-life
parameter. This produces a maximum
persisting dose of 0.1457 μg ai/kg bw, or
about 30% of the total daily exposure of
0.4158 μg ai/kg bw derived above, or
expressed as a fraction of the level of
concern, the maximum persisting dose
amounts to about 194% of the aPAD (or
30% of 554%). Note that with drinking
water concentration at 4 ppb, an infant
consuming one 8 oz bottle of formula prepared from powder and tap water
containing carbofuran at 4 ppb will
obtain exposures of approximately
114% of aPAD. Since many infants
consume the equivalent of this amount
on a single eating occasion, accounting
for reversibility over multiple occasions
is not essential to ascertain that infants
quite likely have obtained drinking
water exposures to carbofuran
exceeding the level of concern based on
drinking water concentrations found in
public drinking water supplies.
The approach discussed above is used
to evaluate the extent to which the
Agency’s 24–hour approach to dietary
risk assessment overestimates risk from
carbofuran exposure. The results of both
approaches indicate that the risk from
carbofuran is indeed not substantively
overestimated using the current
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exposure models and the 24–hour
approach.
In this regard, it is important to note
EPA’s Eating Occasion Analyses
underestimate exposures to the extent
that they do not take into account carryover effects from previous days, and
because drinking water concentrations
are randomly picked from the entire 30–
year distribution. As discussed
previously, DEEM-FCID(TM) is a single
day dietary exposure model, and the
DEEM-based Eating Occasion Analysis
accounts for reversibility within each
simulated person-day. All of the
empirical data regarding time and
amounts consumed (and corresponding
exposures based on the corresponding
residues) from the CSFII survey are
used, along with the half-life to assess
an equivalent persisting dose that
produced the peak inhibition expected
over the course of that day. This is a
reasonable assumption for food alone;
since the time between exposure events
across 2 days is relatively high
(compared to the half-life)—most
children (>9 months) tend to sleep
through the night—and the time
between dinner and breakfast the
following morning is long enough it is
reasonable to ‘‘ignore’’ persisting effects
from the previous day. A single day
exposure model will underestimate the
persisting effects from drinking water
exposures (formula) among infants, and
newborns in particular (<3 months),
since newborns tend to wake up every
2 to 4 hours to feed. Any carry over
effects may be important, especially if
exposures from the previous day are
relatively high, since the time between
the last feeding (formula) of the day and
the first feeding of the subsequent day
is short. A single day model also does
not account for the effect of seasonal
variations in drinking water
concentrations, which will make this
effect more pronounced during the high
use season (i.e., the time of year when
drinking water concentrations are high).
Based on these analyses, the Agency
concludes that the current exposure
assessment methods used in the
carbofuran dietary assessment provide
realistic and high confidence estimates
of risk to carbofuran exposure through
food and water.
The result of all of these analyses
clearly demonstrates that aggregate
exposure from all uses of carbofuran fail
to meet the FFDCA section 408 safety
standard, and revocation of the
associated tolerances is warranted.
EPA’s analyses show that those
individuals–both adults as well as
children—who receive their drinking
water from vulnerable sources are also
exposed to levels that exceed EPA’s
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level of concern—in some cases by
orders of magnitude. This primarily
includes those populations consuming
drinking water from ground water from
shallow wells in acidic aquifers overlaid
with sandy soils that have had crops
treated with carbofuran. It could also
include those populations that obtain
their drinking water from reservoirs
located in small agricultural watersheds,
prone to runoff, and predominated by
crops that are treated with carbofuran,
although there is more uncertainty
associated with these exposure
estimates.
Although the recent cancellation of
several registered uses has reduced the
dietary risks to children, EPA’s analyses
still show that estimated exposures
significantly exceed EPA’s level of
concern for children.
While the registrant claims to have
conducted an alternate analysis showing
that aggregate carbofuran exposures to
children will be safe, FMC failed to
provide the data and details of that
assessment to the Agency. They have
also failed to provide several critical
components that served to support key
inputs into that assessment. And for
several of these, EPA was unable to
replicate the claimed results based on
the information contained in the
comments. In the absence of such
critical components, the Agency cannot
accept the validity or utility of the
analyses, let alone rely on the results.
But based on the summary
descriptions provided in their
comments, it is clear that the
commenters’ analyses contain a critical
flaw. The commenters’ determination of
safety rests on the presumption that
under real world conditions, events will
always occur exactly as hypothesized by
the multiple assumptions in their
assessment. For example, they assume,
despite all available evidence to the
contrary, that children will not be
appreciably more sensitive to
carbofuran’s effects than adults. They
assume that carbofuran’s effects will be
highly reversible, and that children will
be uniformly sensitive, such that the
effects will be adequately accounted for
by the assumption of a 150–minute halflife. They further assume that there will
be no carry over effect from the
preceding day’s exposures for infants.
They assume that the cancellation of use
on alfalfa will reduce carbofuran
residues in milk by over 70%. They
assume that residues will decrease
between 19 and 23% as a result of the
buffer requirements on the September
2008 label, even though the label does
not require the use of all of the
recommended ‘‘best management
practices’’ (e.g., no language regarding
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swath displacement), and applicators do
not universally use such practices in the
absence of any requirement. They
assume that average ground water pH
adequately characterizes the temporal
and spatial heterogeneity common in
most areas, despite the available
evidence to the contrary. Finally, they
assume that PCT in watersheds will
never exceed 5% CT, despite varying
pest pressures, consultant
recommendations, and individual
grower decisions. Leaving aside that
EPA believes most, if not all of these
assumptions are not supported by the
available evidence, as described
throughout this final rule, the
probability of all these assumptions
always simultaneously holding true
under real world conditions is
unreasonably low, and certainly does
not approach the degree of certainty
necessary for EPA to conclude that
children’s exposures will be safe.
Determining whether residues will be
safe for U.S. children is not a theoretical
paper exercise; it cannot suffice to
hypothesize a unique set of
circumstances that make residues ‘‘fit in
the box.’’ There must be a reasonable
certainty that under the variability that
exists under real world conditions,
exposures will be ‘‘safe.’’ EPA’s
assessments incorporate a certain degree
of conservatism precisely to account for
the fact that assumptions must be made
that may not prove accurate. This
consideration is highly relevant for
carbofuran, because as refined as EPA’s
assessments are, areas of uncertainty
remain with regard to carbofuran’s risk
potential. For example, a recent
epidemiological study reported that
45% of maternal and cord blood
samples in a cohort of New York City
residents of Northern Manhattan and
the South Bronx between 2000 and
2004, contained low, but measurable
residues of carbofuran (Ref. 118). The
Agency is currently unable to account
for the source of such sustained
exposures at this frequency.
A further consideration is that the
risks of concern are acute risks to
children. For acute risks, the higher
values in a probabilistic risk assessment
are often driven by relatively high
values in a few exposures rather than
relatively lower values in a greater
number of exposures. This is due to the
fact that an acute assessment looks at a
narrow window of exposure where there
are unlikely to be a great variety of
consumption sources. Thus, to the
extent that there is a high exposure it
will be more likely due to a high residue
value in a single consumption event.
Additionally worrisome in this regard is
that carbofuran is a highly potent (i.e.,
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has a very steep dose-response curve),
acute toxicant, and therefore any aPAD
exceedances are more likely to have
greater significance in terms of the
potential likelihood of actual harm.
In sum, these results strongly support
EPA’s conclusion that aggregate
exposures to carbofuran are not safe.
IX. Procedural Matters
A. When Do These Actions Become
Effective?
The revocations of the tolerances for
all commodities will become effective
December 31, 2009. EPA had proposed
to establish an extended effective date
for artichokes and sunflower seed;
however, EPA ultimately agrees with
those commenters who raised concern
that continuance of use for an additional
year on these crops would be
inconsistent with the acute risks that
carbofuran poses to children.
Accordingly, the revocation for
tolerances on these two crops will now
be effective December 31, 2009. The
Agency has set the effective date in
December because this is the quickest
time frame in which the decision could
be practically implemented, given that
some additional time will be necessary
to allow the process applicable to stay
requests to be completed. In addition,
this time frame ensures that growers
will have a reasonable amount of time
to make reasoned decisions about their
pest management strategies, and to
exhaust any stocks of carbofuran
currently in their possession.
Any commodities listed in this rule
treated with the pesticide subject to this
rule, and in the channels of trade
following the tolerance revocations,
shall be subject to FFDCA section
408(l)(5). Under this section, any
residues of these pesticides in or on
such food shall not render the food
adulterated so long as it is shown to the
satisfaction of the Food and Drug
Administration that:
1. The residue is present as the result
of an application or use of the pesticide
at a time and in a manner that was
lawful under FIFRA, and
2. The residue does not exceed the
level that was authorized at the time of
the application or use to be present on
the food under a tolerance or exemption
from tolerance. Evidence to show that
food was lawfully treated may include
records that verify the dates when the
pesticide was applied to such food.
B. Request for Stay of Effective Date
A person filing objections to this final
rule may submit with the objections a
petition to stay the effective date of this
final rule. Such stay petitions must be
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received by the Hearing Clerk on or
before July 14, 2009. A copy of the stay
request filed with the Hearing Clerk
shall be submitted to the Office of
Pesticide Programs Docket Room. A stay
may be requested for a specific time
period or for an indefinite time period.
The stay petition must include a citation
to this final rule, the length of time for
which the stay is requested, and a full
statement of the factual and legal
grounds upon which the petitioner
relies for the stay.
EPA received comments asserting that
a hearing would definitely be requested,
and requesting a stay pending resolution
of that hearing.
Until EPA has published its final rule,
any request for a stay is purely
speculative. EPA is only authorized to
issue a stay of the regulation, ‘‘if after
issuance of such regulation or order,
objections are filed with respect to such
regulation...’’ 21 U.S.C. 346a(g)(1). No
objections have been filed, nor could
they be until EPA publishes its final
rule. Further, no demonstration has yet
been made that any hearing is
warranted, nor indeed, could the
commenters have done so at this stage
of the tolerance revocation process. See,
40 CFR 178 Subpart B. EPA’s
regulations require all parties who
request a stay to justify the request with
a statement of the factual and legal
grounds upon which the petitioner
relies. To the extent the commenters
still wish to seek a stay of EPA’s final
rule, they will have the opportunity to
do so, as discussed above.
In determining whether to grant a
stay, EPA will consider the criteria set
out in the Food and Drug
Administration’s regulations regarding
stays of administrative proceedings at
21 CFR 10.35. Under those rules, a stay
will be granted if it is determined that:
(1) The petitioner will otherwise
suffer irreparable injury;
(2) The petitioner’s case is not
frivolous and is being pursued in good
faith;
(3) The petitioner has demonstrated
sound public policy grounds supporting
the stay;
(4) The delay resulting from the stay
is not outweighed by public health or
other public interests.
Under FDA’s criteria, EPA may also
grant a stay if EPA finds such action is
in the public interest and in the interest
of justice.
Any person wishing to comment on
any stay request may submit such
comments and objections to a stay
request to the Hearing Clerk, on or
before July 29, 2009. Any subsequent
decisions to stay the effect of this order,
based on a stay request filed, will be
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published in the Federal Register, along
with EPA’s response to comments on
the stay request.
X. Are The Agency’s Actions Consistent
With International Obligations?
The tolerance revocations in this final
rule are not discriminatory and are
designed to ensure that both
domestically-produced and imported
foods meet the food safety standard
established by the FFDCA. The same
food safety standards apply to
domestically produced and imported
foods.
EPA considers Codex Maximum
Residue Limits (MRLs) in setting U.S.
tolerances and in reassessing them.
MRLs are established by the Codex
Committee on Pesticide Residues, a
committee within the Codex
Alimentarius Commission, an
international organization formed to
promote the coordination of
international food standards. It is EPA’s
policy to harmonize U.S. tolerances
with Codex MRLs to the extent possible,
provided that the MRLs achieve the
level of protection required under
FFDCA. EPA’s effort to harmonize with
Codex MRLs is summarized in the
tolerance reassessment section of
individual Reregistration Eligibility
Decision documents. EPA has
developed guidance concerning
submissions for import tolerance
support (65 FR 35069, June 1, 2000)
(FRL–6559–3). This guidance will be
made available to interested persons.
Electronic copies are available on the
internet at https://www.epa.gov/. On the
Home Page select ‘‘Laws, Regulations,
and Dockets,’’ then select Regulations
and Proposed Rules and then look up
the entry for this document under
‘‘Federal Register—Environmental
Documents.’’ You can also go directly to
the ‘‘Federal Register’’ listings at https://
www.epa.gov/fedrgstr/.
XI. Statutory and Executive Order
Reviews
In this final rule, EPA is revoking
specific tolerances established under
FFDCA section 408. The Office of
Management and Budget (OMB) has
exempted tolerance regulations from
review under Executive Order 12866,
entitled Regulatory Planning and
Review (58 FR 51735, October 4, 1993).
Because this final rule has been
exempted from review under Executive
Order 12866, this final rule is not
subject to Executive Order 13211,
Actions Concerning Regulations That
Significantly Affect Energy Supply,
Distribution, or Use (66 FR 28355, May
22, 2001) or Executive Order 13045,
entitled Protection of Children from
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Environmental Health Risks and Safety
Risks (62 FR 19885, April 23, 1997),
which both apply to regulation actions
reviewed under Executive Order 12866.
This final rule does not contain any
information collections subject to OMB
approval under the Paperwork
Reduction Act (PRA), 44 U.S.C. 3501 et
seq., or impose any enforceable duty or
contain any unfunded mandate as
described under Title II of the Unfunded
Mandates Reform Act of 1995 (UMRA)
(Public Law 104–4). Nor does it require
any special considerations as required
by Executive Order 12898, entitled
Federal Actions to Address
Environmental Justice in Minority
Populations and Low-Income
Populations (59 FR 7629, February 16,
1994). This action does not involve any
technical standards that would require
Agency consideration of voluntary
consensus standards pursuant to section
12(d) of the National Technology
Transfer and Advancement Act of 1995
(NTTAA), Public Law 104–113, section
12(d) (15 U.S.C. 272 note).
In addition, the Agency has
determined that this action will not
have a substantial direct effect on States,
on the relationship between the national
government and the States, or on the
distribution of power and
responsibilities among the various
levels of government, as specified in
Executive Order 13132, entitled
Federalism (64 FR 43255, August 10,
1999). This final rule directly regulates
growers, food processors, food handlers
and food retailers, not States. This
action does not alter the relationships or
distribution of power and
responsibilities established by Congress
in the preemption provisions of section
408(n)(4) of the FFDCA. For these same
reasons, the Agency has determined that
this final rule does not have any ‘‘tribal
implications’’ as described in Executive
Order 13175, entitled Consultation and
Coordination with Indian Tribal
Governments (65 FR 67249, November
6, 2000). This final rule will not have
substantial direct effects on tribal
governments, on the relationship
between the Federal Government and
Indian tribes, or on the distribution of
power and responsibilities between the
Federal Government and Indian tribes,
as specified in Executive Order 13175.
Thus, Executive Order 13175 does not
apply to this final rule.
The Regulatory Flexibility Act (RFA)
5 USC 601 et.seq, generally requires an
agency to prepare a regulatory flexibility
analysis of any rule subject to notice
and comment rulemaking requirements
under the Administrative Procedures
Act or any other statute. This is required
unless the agency certifies that the rule
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will not have a significant economic
impact on a substantial number of small
entities. Small entities include small
businesses, small organizations, and
small governmental jurisdictions. The
Agency has determined that no small
organizations or small governmental
jurisdictions are impacted by today’s
rulemaking. For purposes of assessing
the impacts of today’s determination on
businesses, a small business is defined
either by the number of employees or by
the annual dollar amount of sales/
revenues. The level at which an entity
is considered small is determined for
each North American Industry
Classification System (NAICS) code by
the Small Business Administration
(SBA). Farms are classified under
NAICS code 111, Crop Production, and
the SBA defines small entities as farms
with total annual sales of $750,000 or
less.
The Agency has examined the
potential effects today’s final rule may
have on potentially impacted small
businesses. EPA prepared an analysis
for the proposal and certified that its
proposed rule would not have a
significant economic impact on a
substantial number of small entities.
EPA received no comments on its
analysis or certification. Based on its
analysis, EPA concludes that the
Agency can certify that revoking the
food tolerances for carbofuran will not
have a significant economic impact on
a substantial number of small entities
for alfalfa, artichoke, banana, chili
pepper, coffee, cotton, cucurbits
(cucumber, melons, pumpkin, and
squash), grape, grains (barley, flax, oats,
and wheat), field corn, potato, soybean,
sorghum, sugarbeet, sugarcane,
sunflower, and sweet corn. Even in a
worst-case scenario, in which a grower
obtains income only from a single crop
and his/her entire acreage is affected,
the impact generally amounts to less
than 2% of gross income and would be
felt by fewer than 3% of affected small
producers. Estimates of impacts to corn
growers were refined to account for the
sporadic nature of need for carbofuran
while still maintaining some
assumptions that would bias the
estimates upward. Refined estimates
were also made for artichoke and
sunflower, which consider the diversity
in growers’ revenue. The largest impact
may be felt by artichoke growers, with
impacts as high as 5% of gross revenue,
but fewer than five growers are likely to
be affected. Moreover, as the registrant
has voluntarily cancelled the use of
carbofuran on artichokes, any impact is
more properly traced to the registrant’s
decision to cancel the registration, than
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23089
to the revocation of the tolerance. EPA
could not quantify the impacts to
banana, sugarcane, and sweet corn
producers, but the number of impacted
farms is less than 2% of the farms
subject to the action. Additional detail
on the analyses EPA conducted in
support of this certification can be
found in Reference 85.
XII. Congressional Review Act
The Congressional Review Act, 5
U.S.C. 801 et seq., generally provides
that before a rule may take effect, the
agency promulgating the rule must
submit a rule report to each House of
the Congress and the Comptroller
General of the United States. EPA will
submit a report containing this rule and
other required information to the U.S.
Senate, the U.S. House of
Representatives, and the Comptroller
General of the United States prior to
publication of the rule in the Federal
Register. This rule is not a ‘‘major rule’’
as defined by 5 U.S.C. 804(2).
XIII. References
The following is a list of the
documents that are specifically
referenced in this final rule and placed
in the docket that was established under
Docket ID number EPA-HQ-OPP-20050162. The public docket includes
information considered by EPA in
developing this final rule, such as the
documents specifically referenced in
this action that are listed in this unit,
documents that are referenced in the
documents that are in the docket, any
public comments received, and other
information related to this action. For
information on accessing the docket,
refer to the ADDRESSES unit at the
beginning of this document.
1. Abou-Donia, M.B., Khan, W.A.,
Dechkovskaia, A.M., Goldstein, L.B.,
Bullman, S.L., Abdel-Rahman, A., In
utero exposure to nicotine and
chlorpyrifos alone, and in combination
produces persistent sensorimotor
deficits and Purkinje neuron loss in the
cerebellum of adult offspring rats. Arch
Toxicol. 2006 Sep;80(9):620–31. Epub
2006 Feb 16.
2. Abramovitch, R., Tavor, E., JacobHirsch, J., Zeira, E., Amariglio, N.,
Pappo, O., Rechavi, G., Galun, E.,
Honigman, A., A pivotal role of cyclic
AMP-responsive element binding
protein in tumor progression. Cancer
Research. 2004 Feb 15;64(4):1338–46.
3. Acute oral (gavage) dose rangefinding study of cholinesterase
depression from carbofuran technical in
juvenile (day 11) rats. Hoberman, 2007.
MRID 47143703 (unpublished FMC
study) EPA–HQ–OPP–2007–1088–0062.
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4. Acute oral (gavage) time course
study of cholinesterase depression from
carbofuran technical in adult and
juvenile (day 11 postpartum) rats.
Hoberman, 2007. MRID 47143704
(unpublished FMC study) EPA–HQ–
OPP–2007–1088–0063.
5. Acute Dose-Response Study of
Carbofuran Technical Administered by
Gavage to Adult and Postnatal Day 11
Male and Female CD (Sprague-Dawley)
Rats: Tyl and Myers. 2005. MRID.
46688914.
6. Aller, L., Bennet, T., Lehr, J.H.,
Petty, R.J., and Hackett, G. 1987.
DRASTIC: A standardized system for
evaluating groundwater pollution
potential using hydrogeologic setting.
EPA/600/2–87/035. Robert S. Kerr
Environmental Research Laboratory,
U.S. Environmental Protection Agency,
622 pp.
7. An In-Depth Investigation to
Estimate Surface Water Concentrations
of Carbofuran within Indiana
Community Water Supplies. Performed
by Waterborne Environmental, Inc.,
Leesburg, VA, Engel Consulting, and
Fawcett Consulting. Submitted by FMC.
Corporation, Philadelphia, PA. WEI No
528.01, FMC Report No. PC-0378. MRID
47221603. EPA–HQ–OPP–2007–1088–
0023.
8. An Investigation into the Potential
for Carbofuran Leaching to Ground
Water Based on Historical and Current
Use Practices. Submitted by FMC.
Corporation, Philadelphia, PA. Report
No. PC-0363. MRID 47221602. EPA–
HQ–OPP–2007–1088–0022.
9. An Investigation into the Potential
for Carbofuran Leaching to Ground
Water Based on Historical and Current
Use Practices: Supplemental Report on
Twenty-one Additional States.
Submitted by FMC Corporation,
Philadelphia, PA. Report No. PC-0383.
MRID 47244901. EPA–HQ–OPP–2007–
1088–0025.
10. Angier, Jonathan. 2005. Tier 2
Drinking Water Assessment for Aldicarb
and its Major Degradates Aldicarb
Sulfoxide and Aldicarb Sulfone. (DP
316754) Internal EPA Memorandum to
Robert McNally dated May 10, 2005.
11. Benchmark dose analysis of
cholinesterase inhibition data in
neonatal and adult rats (MRID no.
46688914) following exposure to
carbofuran (A.Lowit, 1/19/06, D325342,
TXR no. 0054034). EPA–HQ–OPP–
2007–1088–0045.
12. Benjamins, J.A., and McKhann,
G.M. 1981. Development, regeneration,
and aging of the brain. In: Basic
Neurochemistry. 3rd edition. Edited by
Siegel, G.J., Albers, R.W., Agranoff,
B.W., and Katzman, R. Little, Brown and
Co., Boston. pp 445–469;.
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13. Best Management Practices to
Reduce Carbofuran Losses to Ground
And Surface Water. Submitted by FMC.
Corporation, Philadelphia, PA. Report
No. PC-0362. MRID 47279201. EPA–
HQ–OPP–2005–0162–0464.
14. Bretaud, S., Toutant, J.P., Saglio,
P. 2000. Effects of carbofuran, diuron,
and nicosulfuron on
acetylcholinesterase activity in goldfish
(Carassius auratus). Ecotoxicol Environ
Saf. 2000 Oct; 47(2):117–24.
15. California Department of Pesticide
Regulation. Risk Characterization
Document for Carbofuran. January 23,
2006. 219 pgs. Available at: https://
www.cpdr.ca.gov/docs/risk/red/
carbofuran.pdf.
16. Carbofuran Acute Aggregate
Dietary (Food and Drinking Water)
Exposure and Risk Assessments for the
Reregistration Eligibility Decision (T.
Morton, 7/22/08, D351371). EPA-HQOPP–2005–0162–0508.
17. Carbofuran Environmental Risk
Assessment and Human Drinking Water
Exposure Assessment for IRED. March
2006. EPA–HQ–OPP–2005–0162–0080.
18. Carringer, 2000. Carbamate Market
Basket Survey. Reviewed by S. Piper,
D267539, 8/8/02. (MRID 45164701 S.
Carringer, 5/12/00).
19. Carbofuran. HED Revised Risk
Assessment for the Reregistration
Eligibility Decision (RED) Document
(Phase 6). (PC 090601) D 330541, July
26, 2006. EPA–HQ–OPP–2005–0162–
0307.
20. Carbofuran. HED Revised Risk
Assessment for the Notice of Intent to
Cancel . (PC 090601) D 347038, January
2007. EPA–HQ–OPP–2007–1088–0034.
21. Cholinesterase depression in
juvenile (day 11) and adult rats
following acute oral (gavage) dose of
carbofuran technical. Hoberman, 2007.
MRID 47143705 (unpublished FMC
study). EPA–HQ–OPP–2007–1088–
0066.
22. Context Document for Carbofuran
Risk Assessment Issues not Specifically
Addressed in the FIFRA SAP Charge
Questions (M. Panger, C. Salice, R.
David Jones, E. Odenkirchen, I.
Sunzenauer, 1/08 D348292). EPA–HQ–
OPP–2007–1088–0071.
23. Crumpton T.L., Seidler, F.J.,
Slotkin, T.A. Developmental
neurotoxicity of chlorpyrifos in vivo and
in vitro: Effects on nuclear transcription
factors involved in cell replication and
differentiation. Brain Research. 2000
Feb 28;857(1–2):87–98.
24. Data Evaluation Record for Acute
dose-response study of carbofuran
technical administered by gavage to
adult and postnatal day 11 male and
female CD®(Sprague-Dawley) rats.
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MRID 46688914. EPA-HQ-OPP–2007–
1088–0045.
25. Data Evaluation Record for
Cholinesterase depression in juvenile
(day 11) and adult rats following acute
oral (gavage) dose of carbofuran
technical. MRIDs 47143703, 47143704
and 47143705. EPA-HQ-OPP–2005–
0162–0468.
26. Davison, A.N. and Dobbing, J.
1966. Myelination as a vulnerable
period in brain development. British
Medical Bulletin. 22:40–44.
27. Dobbing, J. and Smart, J.L. (1974)
Vulnerability of developing brain and
behaviour. British Medical Bulletin.
30:164–168.
28. Dose-time response modeling of
rat brain AChE activity: carbofuran
gavage dosing 10/5/07 (CarbofuranRatBrainDR.pdf) EPA–HQ–OPP–2007–
1088–0053.
29. Dose-time response modeling of
rat RBC-AChE activity: carbofuran
gavage dosing 10/23/07
(RatRBC_DR.pdf). EPA–HQ–OPP–2007–
1088–0029.
30. Dose-Time Response Modeling of
Rat Brain AChE Activity: Carbofuran
Gavage Dosing: BMD50s for PND11
animals, January 14, 2009.
31. Dose-Time Response Modeling of
Rat RBC AChE Activity: Carbofuran
Gavage Dosing: BMD50s for PND11
Animals, January 14, 2009.
32. Dumaz, N., Hayward, R., Martin,
J., Ogilvie, L., Hedley, D., Curtin, J.A.,
Bastian, B.C., Springer, C., Marais, R. In
Melanoma, RAS Mutations Are
Accompanied by Switching Signaling
from BRAF to CRAF and Disrupted
Cyclic AMP Signaling. Cancer Resarch.
2006 Oct 1;66(19):9483–91.
33. Bernard, Engel, Fawcett, Richard
S. and Williams, W. Martin. 2008.
Comments to the FIFRA Scientific
Advisory Panel – Volume V: The Water
Risk Assessment for Carbofuran. From
Carbofuran Scientific Advisory Panel
Meeting, Feb. 5–8, 2008, Docket ID
Number: EPA–HQ–OPP–2007–1088
FMC Corporation, Agricultural Products
Group Written Comments.
34. EPA Response to the Transmittal
of Meeting Minutes of the FIFRA
Scientific Advisory Panel Meeting Held
February 5–8 2008 on the Agency’s
Proposed Action under FIFRA 6(b)
Notice of Intent to Cancel Carbofuran
(E.Reaves, A. Lowit, J. Liccione 7/2008
D352315).
35. Estimated Drinking Water
Concentrations (email communication
D. Young to D. Drew, March 8, 2006).
36. Fawcett, R., Engel, B., Williams,
W. 2007. An Investigation into the
Potential for Carbofuran Leaching to
Ground Water Based on Historical and
Current Product Uses. (MRID 47221602)
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60 pgs.
List of Subjects in 40 CFR Part 180
Environmental protection,
Administrative practice and procedure,
Agricultural commodities, Pesticides
and pests, Reporting and recordkeeping
requirements.
Dated: May 11, 2009.
Debra Edwards,
Director, Office of Pesticide Programs.
Therefore, 40 CFR chapter I be
amended as follows:
■
PART 180—[AMENDED]
1. The authority citation for part 180
continues to read as follows:
■
Authority: 21 U.S.C. 321(q), 346a and 371.
2. Section 180.254 is amended by
revising the tables in paragraphs (a) and
(c) to read as follows:
■
§ 180.254 Carbofuran; tolerances for
residues.
(a) * * *
Parts per
million
(ppm)
Commodity
Alfalfa, forage (of which no more than 5 ppm are carbamates) .........................................................................................
Alfalfa, hay (of which no more than 20 ppm are carbamates) ...........................................................................................
Banana .................................................................................................................................................................................
Barley, grain (of which not more than 0.1 ppm is carbamates) ..........................................................................................
Barley, straw (of which no more than 1.0 ppm is carbamates) ..........................................................................................
Beet, sugar, roots ................................................................................................................................................................
Beet, sugar, tops (of which no more than 1 ppm is carbamates) ......................................................................................
Coffee, bean, green .............................................................................................................................................................
Corn, forage (of which no more than 5 ppm are carbamates) ...........................................................................................
Corn, grain (including popcorn) (of which no more than 0.1 ppm is carbamates) .............................................................
Corn, stover (of which no more than 5 ppm are carbamates) ............................................................................................
Corn, sweet, kernel plus cob with husks removed (of which no more than 0.2 ppm is carbamates) ...............................
Cotton, undelinted seed (of which no more than 0.2 ppm is carbamates) .........................................................................
Cranberry (of which no more than 0.3 ppm is carbamates) ...............................................................................................
Cucumber (of which not more than 0.2 ppm is carbamates) .............................................................................................
Grape (of which no more than 0.2 ppm is carbamates) .....................................................................................................
Grape, raisin (of which no more than 1.0 ppm is carbamate .............................................................................................
Grape, raisin, waste (of which no more than 3.0 ppm is carbamates ................................................................................
Melon (of which not more than 0.2 ppm is carbamates) ....................................................................................................
Milk (of which no more than 0.02 ppm is carbamates) .......................................................................................................
Oat, grain (of which not more than 0.1 ppm is carbamates) ..............................................................................................
Oat, straw (of which not more than 1.0 ppm is carbamates) .............................................................................................
Pepper (of which no more than 0.2 ppm is carbamates) ...................................................................................................
Potato (of which no more than 1 ppm is carbamates) ........................................................................................................
Pumpkin (of which not more than 0.6 ppm is carbamates) ................................................................................................
Rice, grain ............................................................................................................................................................................
Rice, straw (of which no more than 0.2 ppm is carbamates) .............................................................................................
Sorghum, forage (of which no more than 0.5 ppm is carbamates) ....................................................................................
Sorghum, grain, grain ..........................................................................................................................................................
Sorghum, grain, stover (of which no more than 0.5 ppm is carbamates) ..........................................................................
Strawberry (of which no more than 0.2 ppm is carbamates) ..............................................................................................
Soybean (of which not more than 0.2 ppm is carbamates) ................................................................................................
Soybean, forage (of which not more than 20.0 ppm are carbamates) ...............................................................................
Soybean, hay (of which not more than 20.0 ppm are carbamates) ...................................................................................
Squash (of which not more than 0.6 ppm is carbamates) ..................................................................................................
Sugarcane, cane ..................................................................................................................................................................
Sunflower, seed (of which not more than 0.5 ppm is carbamates) ....................................................................................
Wheat, grain (of which not more than 0.1 ppm is carbamates) .........................................................................................
Wheat, straw (of which not more than 1.0 ppm is carbamates) .........................................................................................
*
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Federal Register / Vol. 74, No. 93 / Friday, May 15, 2009 / Rules and Regulations
Parts per
million
(ppm)
Commodity
Artichoke, globe (of which not more than 0.2 ppm is carbamates) ....................................................................................
*
*
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[FR Doc. E9–11396 Filed 5–12–09; 4:15 pm]
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Agencies
[Federal Register Volume 74, Number 93 (Friday, May 15, 2009)]
[Rules and Regulations]
[Pages 23046-23095]
From the Federal Register Online via the Government Printing Office [www.gpo.gov]
[FR Doc No: E9-11396]
[[Page 23045]]
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Part III
Environmental Protection Agency
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40 CFR Part 180
-----------------------------------------------------------------------
Carbofuran; Final Tolerance Revocations; Final Rule
Federal Register / Vol. 74, No. 93 / Friday, May 15, 2009 / Rules and
Regulations
[[Page 23046]]
-----------------------------------------------------------------------
ENVIRONMENTAL PROTECTION AGENCY
40 CFR Part 180
[EPA-HQ-OPP-2005-0162; FRL-8413-3]
Carbofuran; Final Tolerance Revocations
AGENCY: Environmental Protection Agency (EPA).
ACTION: Final rule.
-----------------------------------------------------------------------
SUMMARY: EPA is revoking all tolerances for carbofuran. The Agency has
determined that the risk from aggregate exposure from the use of
carbofuran does not meet the safety standard of section 408(b)(2) of
the Federal Food, Drug, and Cosmetic Act (FFDCA).
DATES: This final rule is effective August 13, 2009. Written
objections, requests for a hearing, or requests for a stay identified
by the docket identification (ID) number EPA-HQ-OPP-2005-0162 must be
received on or before July 14, 2009, and must be filed in accordance
with the instructions provided in 40 CFR part 178 (see also Unit I.C.
of the SUPPLEMENTARY INFORMATION).
ADDRESSES: Written objections and hearing requests, identified by the
docket ID number EPA-HQ-OPP-2005-0162, may be submitted to the Hearing
Clerk by one of the following methods:
Mail: U.S. EPA Office of the Hearing Clerk, Mailcode 1900
L, 1200 Pennsylvania Ave., NW., Washington, DC 20460-0001.
Delivery: U.S. EPA Office of the Hearing Clerk, 1099 14th
St., NW., Suite 350, Franklin Court, Washington, DC 20005. Deliveries
are only accepted during the Office's normal hours of operation (8:30
a.m. to 4 p.m., Monday through Friday, excluding legal holidays).
Special arrangements should be made for deliveries of boxed
information. The Office's telephone number is (202) 564-6262.
In addition to filing an objection or hearing request with the
Hearing Clerk as described in 40 CFR part 178, please submit a copy of
the filing that does not contain any CBI for inclusion in the public
docket that is described in ADDRESSES. Information not marked
confidential pursuant to 40 CFR part 2 may be disclosed publicly by EPA
without prior notice. Submit this copy, identified by docket ID number
EPA-HQ-OPP-2005-0162, by one of the following methods:
Federal eRulemaking Portal: https://www.regulations.gov.
Follow the on-line instructions for submitting comments.
Mail: Office of Pesticide Programs (OPP) Regulatory Public
Docket (7502P), Environmental Protection Agency, 1200 Pennsylvania
Ave., NW., Washington, DC 20460-0001.
Delivery: OPP Regulatory Public Docket (7502P),
Environmental Protection Agency, Rm. S-4400, One Potomac Yard (South
Bldg.), 2777 S. Crystal Dr., Arlington, VA. Deliveries are only
accepted during the Docket's normal hours of operation (8:30 a.m. to 4
p.m., Monday through Friday, excluding legal holidays). Special
arrangements should be made for deliveries of boxed information. The
Docket Facility telephone number is (703) 305-5805.
Docket: All documents in the docket are listed in the docket index.
Although listed in the index, some information is not publicly
available, e.g., CBI or other information whose disclosure is
restricted by statute. Certain other material, such as copyrighted
material, is not placed on the Internet and will be publicly available
only in hard copy form. Publicly available docket materials are
available in the electronic docket at https://www.regulations.gov, or,
if only available in hard copy, at the OPP Regulatory Public Docket in
Rm. S-4400, One Potomac Yard (South Bldg.), 2777 S. Crystal Dr.,
Arlington, VA. The Docket Facility is open from 8:30 a.m. to 4 p.m.,
Monday through Friday, excluding legal holidays. The Docket Facility
telephone number is (703) 305-5805.
Submitting CBI. Do not submit this information to EPA through
regulations.gov or e-mail. Clearly mark the part or all of the
information that you claim to be CBI. For CBI information in a disk or
CD-ROM that you mail to EPA, mark the outside of the disk or CD-ROM as
CBI and then identify electronically within the disk or CD-ROM the
specific information that is claimed as CBI. In addition to one
complete version of the objection that includes information claimed as
CBI, a copy of the objection that does not contain the information
claimed as CBI must be submitted for inclusion in the public docket.
Information so marked will not be disclosed except in accordance with
procedures set forth in 40 CFR part 2.
FOR FURTHER INFORMATION CONTACT: Jude Andreasen, Special Review and
Reregistration Division (7508P), Office of Pesticide Programs,
Environmental Protection Agency, 1200 Pennsylvania Ave, NW.,
Washington, DC 20460-0001; telephone number: (703) 308-9342; e-mail
address: andreasen.jude@epa.gov.
SUPPLEMENTARY INFORMATION:
I. General Information
A. Does This Action Apply to Me?
You may be potentially affected by this action if you are an
agricultural producer, food manufacturer, or pesticide manufacturer.
Potentially affected entities may include, but are not limited to:
Crop production (NAICS code 111).
Animal production (NAICS code 112).
Food manufacturing (NAICS code 311).
Pesticide manufacturing (NAICS code 32532).
This listing is not intended to be exhaustive, but rather provides
a guide for readers regarding entities likely to be affected by this
action. Other types of entities not listed in this unit could also be
affected. The North American Industrial Classification System (NAICS)
codes have been provided to assist you and others in determining
whether this action might apply to certain entities. To determine
whether you or your business may be affected by this action, you should
carefully examine the applicability provisions in Unit II.A. If you
have any questions regarding the applicability of this action to a
particular entity, consult the person listed under FOR FURTHER
INFORMATION CONTACT.
B. How Can I Access Electronic Copies of This Document?
In addition to accessing an electronic copy of this Federal
Register document through the electronic docket at https://www.regulations.gov, you may access this Federal Register document
electronically through the EPA Internet under the ``Federal Register''
listings at https://www.epa.gov/fedrgstr. You may also access a
frequently updated electronic version of EPA's tolerance regulations at
40 CFR part 180 through the Government Printing Office's pilot e-CFR
site at https://www.gpoaccess.gov/ecfr.
C. What Can I Do if I Wish the Agency To Maintain a Tolerance That the
Agency Has Revoked?
Any affected party has 60 days from the date of publication of this
order to file objections to any aspect of this order with EPA and to
request an evidentiary hearing on those objections (21 U.S.C.
346a(g)(2)). A person may raise objections without requesting a
hearing.
The objections submitted must specify the provisions of the
regulation deemed objectionable and the grounds for the objection (40
CFR 178.25). Each objection must be accompanied by the fee prescribed
by 40 CFR 180.33(i). If a
[[Page 23047]]
hearing is requested, the objections must include a statement of the
factual issue(s) on which a hearing is requested, the requestor's
contentions on such issues, and a summary of any evidence relied upon
by the objector (40 CFR 178.27).
Although any person may file an objection, the substance of the
objection must have been initially raised as an issue in comments on
the proposed rule. As explained in the July 31, 2008 proposed rule (73
FR 44864) (FRL-8378-8), EPA will treat as waived any issue not
originally raised in timely submitted comments. Accordingly, EPA will
not consider any legal or factual issue presented in objections that
was not presented by a commenter in response to the proposed rule, if
that issue could reasonably have been raised at the time of the
proposal.
Similarly, if you fail to file an objection to an issue resolved in
the final rule within the time period specified, you will have waived
the right to challenge the final rule's resolution of that issue (40
CFR 178.30(a)). After the specified time, issues resolved in the final
rule cannot be raised again in any subsequent proceedings on this rule.
See Nader v EPA, 859 F.2d 747 (9th Cir. 1988), cert denied 490 US 1931
(1989).
You must file your objection or request a hearing on this
regulation in accordance with the instructions provided in 40 CFR part
178. To ensure proper receipt by EPA, you must identify docket ID
number EPA-HQ-OPP-2005-0162 in the subject line on the first page of
your submission. All requests must be in writing, and must be received
by the Hearing Clerk as required by 40 CFR part 178 on or before July
14, 2009.
EPA will review any objections and hearing requests in accordance
with 40 CFR 178.30, and will publish its determination with respect to
each in the Federal Register. A request for a hearing will be granted
only to resolve factual disputes; objections of a purely policy or
legal nature will be resolved in the Agency's final order, and will
only be subject to judicial review pursuant to 21 U.S.C. 346a(h)(1),
(40 CFR 178.20(c) and 178.32(b)(1)). A hearing will only be held if the
Administrator determines that the material submitted shows the
following: There is a genuine and substantial issue of fact; there is a
reasonable probability that available evidence identified by the
requestor would, if established, resolve one or more of such issues in
favor of the requestor, taking into account uncontested claims to the
contrary; and resolution of the issue(s) in the manner sought by the
requestor would be adequate to justify the action requested (40 CFR
178.30).
II. Introduction
A. What Action Is the Agency Taking?
EPA is revoking all of the existing tolerances for residues of
carbofuran. Currently, tolerances have been established on the
following crops: Alfalfa, forage; alfalfa, hay; artichoke, globe;
banana; barley, grain; barley, straw; beet, sugar roots; beet, sugar
tops; coffee bean, green; corn, forage; corn, grain (including
popcorn); corn, stover; corn, sweet, kernel plus cob; cotton,
undelinted seed; cranberry; cucumber; grape; grape raisin; grape,
raisin, waste; melon; milk; oat, grain; oat, straw; pepper; potato;
pumpkin; rice, grain; rice, straw; sorghum, forage; sorghum, grain
grain; sorghum, grain, stover; strawberry; soybean, forage; soybean,
hay; squash; sugarcane, cane; sunflower, seed; wheat, grain; wheat,
straw.
As discussed at greater length in Unit VII., on September 29, 2008,
the sole registrant of carbofuran pesticide products, FMC Corporation
requested that EPA cancel certain registrations. Consistent with the
request, the registrant indicated that it no longer seeks to maintain
the tolerances associated with the domestic use of carbofuran on the
eliminated crops, and therefore no longer opposes the revocation of
those tolerances. No other commenter indicated any interest in
maintaining these tolerances. EPA is therefore revoking the tolerances
associated with those domestic uses on two separate grounds. The first
is that the tolerances will no longer be necessary because the
registrations for these uses have been canceled (74 FR 11551, March 18,
2009) (FRL-8403-6). The tolerances that EPA is revoking on this basis
are: Alfalfa, forage; alfalfa, hay; artichoke, globe; barley, grain;
barley, straw; beet, sugar roots; beet, sugar tops; corn, fresh
(including sweet); cotton, undelinted seed; cranberry; cucumber; grape;
grape raisin; grape, raisin, waste; melon; oat, grain; oat, straw;
pepper; rice, straw; sorghum, forage; sorghum, grain grain; sorghum,
grain, stover; strawberry; soybean, forage; soybean, hay; squash;
wheat, grain; and wheat, straw. The second basis is that EPA also
finds, that as outlined in its July 31, 2008 proposed rule, revocation
of these tolerances is warranted on the grounds that aggregate exposure
to residues from these tolerances do not meet the safety standard of
section 408(b)(2) of the FFDCA. The Agency is therefore revoking
tolerances for these crops because aggregate dietary exposure to these
residues of carbofuran, including all anticipated dietary exposures and
all other exposures for which there is reliable information, is not
safe.
The remaining tolerances the commenters seek to retain are: Banana;
coffee bean; corn, forage; corn, grain; corn, stover; milk; potato;
pumpkin; rice, grain; sugarcane, cane; and sunflower, seed. EPA has
determined that aggregate exposure to carbofuran greater than 0.000075
milligrams/kilogram/day (mg/kg/day) (i.e., greater than the acute
Population Adjusted Dose (aPAD)) does not meet the safety standard of
section 408(b)(2) of the FFDCA. For the 11 remaining tolerances, based
on the contribution from food alone, exposure levels are below EPA's
level of concern. At the 99.9th percentile of exposure, aggregate
carbofuran dietary exposure from food alone was estimated to range
between 0.000020 mg/kg/day for children 6 to 12 years old (29% of the
aPAD) and 0.000058 mg/kg/day (78% of the aPAD) for children 1 to 2
years old, the population subgroup with the highest estimated dietary
exposure. However, EPA's analyses show that those individuals--both
adults and children--who receive their drinking water from sources
vulnerable to carbofuran contamination are exposed to carbofuran levels
that exceed EPA's level of concern--in some cases by orders of
magnitude. This primarily includes those populations consuming drinking
water from ground water from shallow wells in acidic aquifers overlaid
with sandy soils that have had crops treated with carbofuran. Aggregate
exposures from food and from drinking water derived from ground water
in vulnerable areas (e.g., from shallow wells associated with sandy
soils and acidic aquifers) result in significant estimated exceedances.
The estimates for aggregate food and ground water exposure from such
sources range between 780% of the aPAD for adults over 50 years, to
9,400% of the aPAD for infants. Similarly, EPA analyses show
substantial exceedances for those populations that obtain their
drinking water from reservoirs (i.e., surface water) located in small
agricultural watersheds, prone to runoff, and predominated by crops
that are treated with carbofuran, even though there is more uncertainty
associated with these exposure estimates. For example, estimated
aggregate exposures from food and drinking water derived from surface
water, based on corn use in Nebraska, range between 330% of the aPAD
for
[[Page 23048]]
youths 13 to 19 years old and 3,900% of the aPAD for infants.
Every analysis EPA has performed has shown that estimated exposures
from drinking water from each remaining domestic use significantly
exceed EPA's level of concern for children. Accordingly, aggregate
exposures from food and water significantly exceed safe levels.
Although the magnitude of the exceedance varies depending on the level
of conservatism in the assessment, the fact that in each case aggregate
exposures to residues of carbofuran fail to meet the FFDCA section
408(b)(2) safety standard, including where EPA relied on highly refined
estimates of risk, using all relevant data and methods, strongly
corroborates EPA's conclusion that aggregate exposures to residues of
carbofuran are not safe.
B. Overview of Final Rule
EPA's final rule preamble is organized primarily into two sections.
Following a brief summary of the July 31, 2008 proposed rule, EPA
summarizes the major comments received on the proposed rule, along with
the Agency's responses in Unit VII. Because EPA only presents a summary
of all of the comments received, readers are encouraged to also consult
EPA's Response to Comments Documents, found in the docket for today's
action (Refs. 111, 112, 113). These documents contain EPA's complete
responses to all of the significant comments received on this
rulemaking, and therefore will contain a more detailed explanation on
many of the issues presented in Unit VII.
Unit VIII. presents the results of EPA's analyses of carbofuran's
dietary risks. This Unit generally describes the bases for the Agency's
conclusions that carbofuran presents unacceptable dietary risks to
children. Readers are also encouraged to consult EPA's underlying risk
assessment support documents, identified in the References section, and
contained in the docket for today's action, for a more detailed
presentation of EPA's scientific analyses.
Each of these units is generally organized consistent with the
structure of a risk assessment. Each unit begins with a discussion of
carbofuran's toxicity, and EPA's hazard identification, including a
discussion of the issues surrounding the selection of the children's
safety factor EPA has applied to this chemical. EPA then discusses
issues relating to carbofuran's exposures from food and drinking water.
The final section of each unit relates to EPA's conclusions regarding
the risks from carbofuran's aggregate (i.e., food + water) exposures.
C. What Is the Agency's Authority for Taking This Action?
EPA is taking this action, pursuant to the authority in FFDCA
sections 408(b)(1)(b), 408(b)(2)(A), and 408(e)(1)(A). 21 U.S.C.
346a(b)(1)(b), (b)(2)(A), (e)(1)(A).
III. Statutory and Regulatory Background
A ``tolerance'' represents the maximum level for residues of
pesticide chemicals legally allowed in or on raw agricultural
commodities (including animal feed) and processed foods. Section 408 of
FFDCA, 21 U.S.C. 346a, as amended by the Food Quality Protection Act
(FQPA) of 1996, Public Law 104-170, authorizes the establishment of
tolerances, exemptions from tolerance requirements, modifications to
tolerances, and revocation of tolerances for residues of pesticide
chemicals in or on raw agricultural commodities and processed foods.
Without a tolerance or exemption, food containing pesticide residues is
considered to be unsafe and therefore ``adulterated'' under section
402(a) of the FFDCA, 21 U.S.C. 342(a). Such food may not be distributed
in interstate commerce (21 U.S.C. 331(a)). For a food-use pesticide to
be sold and distributed, the pesticide must not only have appropriate
tolerances under the FFDCA, but also must be registered under the
Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA) (7 U.S.C.
136 et seq.). Food-use pesticides not registered in the United States
must have tolerances in order for commodities treated with those
pesticides to be imported into the United States.
Section 408(e) of the FFDCA, 21 U.S.C. 346a(e), authorizes EPA to
modify or revoke tolerances on its own initiative. EPA is revoking
these tolerances to implement the Agency's findings made during the
reregistration and tolerance reassessment processes. As part of these
processes, EPA is required to determine whether each of the existing
tolerances meets the safety standard of section 408(b)(2) (21 U.S.C.
346a(b)(2)). Section 408(b)(2)(A)(i) of the FFDCA requires EPA to
modify or revoke a tolerance if EPA determines that the tolerance is
not ``safe'' (21 U.S.C. 346a(b)(2)(A)(i)). Section 408(b)(2)(A)(ii) of
the FFDCA defines ``safe'' to mean that ``there is a reasonable
certainty that no harm will result from aggregate exposure to the
pesticide chemical residue, including all anticipated dietary exposures
and all other exposures for which there is reliable information'' (21
U.S.C. 346a(b)(2)(A)(ii). This includes exposure through drinking water
and in residential settings, but does not include occupational
exposure.
Risks to infants and children are given special consideration.
Specifically, section 408(b)(2)(C) states that EPA:
shall assess the risk of the pesticide chemical based on-- . . .
(II) available information concerning the special susceptibility
of infants and children to the pesticide chemical residues,
including neurological differences between infants and children and
adults, and effects of in utero exposure to pesticide chemicals; and
(III) available information concerning the cumulative effects on
infants and children of such residues and other substances that have
a common mechanism of toxicity. . . .
(21 U.S.C. 346a(b)(2)(C)(i)(II) and (III)).
This provision further directs that ``[i]n the case of threshold
effects, . . .an additional tenfold margin of safety for the pesticide
chemical residue and other sources of exposure shall be applied for
infants and children to take into account potential pre- and post-natal
toxicity and completeness of the data with respect to exposure and
toxicity to infants and children'' (21 U.S.C. 346a(b)(2)(C)). EPA is
permitted to ``use a different margin of safety for the pesticide
chemical residue only if, on the basis of reliable data, such margin
will be safe for infants and children'' (Id.). The additional safety
margin for infants and children is referred to throughout this final
rule as the ``children's safety factor.''
IV. Carbofuran Background and Regulatory History
In July 2006, EPA completed a refined acute probabilistic dietary
risk assessment for carbofuran as part of the reassessment program
under section 408(q) of the FFDCA. The assessment was conducted using
Dietary Exposure Evaluation Model-Food Commodity Intake Database (DEEM-
FCID\TM\, Version 2.03), which incorporates consumption data from the
United States Department of Agriculture's (USDA's) Nationwide
Continuing Surveys of Food Intake by Individuals (CSFII), 1994-1996 and
1998, as well as carbofuran monitoring data from USDA's Pesticide Data
Program\1\ (PDP), estimated percent crop treated information, and
processing/cooking factors, where applicable. The assessment was
conducted applying a
[[Page 23049]]
500-fold safety factor that included a 5X children's safety factor,
pursuant to section 408(b)(2)(C). That refined assessment showed acute
dietary risks from carbofuran residues in food above EPA's level of
concern (Ref. 19). Since 2006, EPA has evaluated additional data
submitted by the registrant, FMC Corporation, and has further refined
its original assessment by incorporating more recent 2005/2006 PDP
data, and by conducting additional analyses. In January 2008, EPA
published a draft Notice of Intent to Cancel (NOIC) all carbofuran
registrations, based in part on carbofuran's dietary risks. As mandated
by FIFRA, EPA solicited comments from the FIFRA Scientific Advisory
Panel (SAP) on its draft NOIC. Having considered the comments from the
SAP, EPA initiated the process to revoke all carbofuran tolerances,
publishing its proposed revocation on July 31, 2008 (73 FR 44864). The
comment period for the proposed rule closed on September 29, 2008.
Having considered all comments received by this date, EPA is now
finalizing the revocation of all existing carbofuran tolerances. As
noted above, aggregate exposures from food and water to the U.S.
population at the upper percentiles of exposure substantially exceed
the safe daily levels and thus are ``unsafe'' within the meaning of
FFDCA section 408(b)(2) (Ref. 71). It is particularly significant that
under every analysis EPA has conducted, the levels of carbofuran exceed
the safe daily dose for children, even when EPA used the most refined
data and models available. Based on these findings, EPA has decided to
move expeditiously to address the unacceptable dietary risks to
children. EPA anticipates issuing the NOIC subsequent to undertaking
the activities required to revoke the carbofuran tolerances.
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\1\ USDA's Pesticide Data Program monitors for pesticides in
certain foods at the distribution points just before release to
supermarkets and grocery stores.
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V. EPA's Approach to Dietary Risk Assessment
EPA performs a number of analyses to determine the risks from
aggregate exposure to pesticide residues. A short summary is provided
below to aid the reader. For further discussion of the regulatory
requirements of section 408 of the FFDCA and a complete description of
the risk assessment process, see https://www.epa.gov/fedrgstr/EPA-PEST/1999/January/Day-04/p34736.htm
To assess the risk of a pesticide tolerance, EPA combines
information on pesticide toxicity with information regarding the route,
magnitude, and duration of exposure to the pesticide. The risk
assessment process involves four distinct steps: (1) Identification of
the toxicological hazards posed by a pesticide; (2) determination of
the exposure ``level of concern'' for humans; (3) estimation of human
exposure; and (4) characterization of human risk based on comparison of
human exposure to the level of concern.
A. Hazard Identification and Selection of Toxicological Endpoint
Any risk assessment begins with an evaluation of a chemical's
inherent properties, and whether those properties have the potential to
cause adverse effects (i.e., a hazard identification). EPA then
evaluates the hazards to determine the most sensitive and appropriate
adverse effect of concern, based on factors such as the effect's
relevance to humans and the likely routes of exposure.
Once a pesticide's potential hazards are identified, EPA determines
a toxicological level of concern for evaluating the risk posed by human
exposure to the pesticide. In this step of the risk assessment process,
EPA essentially evaluates the levels of exposure to the pesticide at
which effects might occur. An important aspect of this determination is
assessing the relationship between exposure (dose) and response (often
referred to as the dose-response analysis). In evaluating a chemical's
dietary risks EPA uses a reference dose (RfD) approach, which involves
a number of considerations including:
A ``point of departure'' (PoD)--the value from a dose-
response curve that is at the low end of the observable data and that
is the toxic dose that serves as the `starting point' in extrapolating
a risk to the human population.
An uncertainty factor to address the potential for a
difference in toxic response between humans and animals used in
toxicity tests (i.e., interspecies extrapolation).
An uncertainty factor to address the potential for
differences in sensitivity in the toxic response across the human
population (for intraspecies extrapolation).
The need for an additional safety factor to protect
infants and children, as specified in FFDCA section 408(b)(2)(C).
EPA uses the chosen PoD to calculate a safe dose or RfD. The RfD is
calculated by dividing the chosen PoD by all applicable safety or
uncertainty factors. Typically in EPA risk assessments, a combination
of safety or uncertainty factors providing at least a hundredfold
(100X) margin of safety is used: 10X to account for interspecies
extrapolation and 10X to account for intraspecies extrapolation.
Further, in evaluating the dietary risks for pesticide chemicals, an
additional safety factor of 10X is presumptively applied to protect
infants and children, unless reliable data support selection of a
different factor. In implementing FFDCA section 408, EPA also
calculates a variant of the RfD referred to as a Population Adjusted
Dose (PAD). A PAD is the RfD divided by any portion of the children's
safety factor that does not correspond to one of the traditional
additional uncertainty/safety factors used in general Agency risk
assessment. The reason for calculating PADs is so that other parts of
the Agency, which are not governed by FFDCA section 408, can, when
evaluating the same or similar substances, easily identify which
aspects of a pesticide risk assessment are a function of the particular
statutory commands in FFDCA section 408. For acute assessments, the
risk is expressed as a percentage of a maximum acceptable dose or the
acute PAD (i.e., the acute dose which EPA has concluded will be
``safe''). As discussed below in Unit V.C., dietary exposures greater
than 100% of the acute PAD are generally cause for concern and would be
considered ``unsafe'' within the meaning of FFDCA section 408(b)(2)(B).
Throughout this document general references to EPA's calculated safe
dose are denoted as an acute PAD, or aPAD, because the relevant point
of departure for carbofuran is based on an acute risk endpoint.
Carbofuran is a member of the class of pesticides called n-methyl
carbamates (NMCs). The primary toxic effect caused by NMCs, including
carbofuran, is neurotoxicity resulting from inhibition of the enzyme
acetylcholinesterase (AChE, See Unit VIII.A.). The toxicity profile of
these pesticides is characterized by rapid time to onset of effects
followed by rapid recovery (minutes to hours). Consistent with its
mechanism of action, toxicity data on AChE inhibition from laboratory
rats provide the basis for deriving the PoD for carbofuran.
B. Estimating Human Dietary Exposure Levels
Pursuant to section 408(b) of the FFDCA, EPA has evaluated
carbofuran's dietary risks based on ``aggregate exposure'' to
carbofuran. By ``aggregate exposure,'' EPA is referring to exposure to
carbofuran by multiple pathways of exposure. EPA uses available data
and standard analytical methods, together with assumptions designed to
be protective of public health, to produce separate estimates of
exposure for a highly exposed subgroup of the general population, for
each potential pathway and route of exposure. For acute risks,
[[Page 23050]]
EPA then calculates potential aggregate exposure and risk by using
probabilistic \2\ techniques to combine distributions of potential
exposures in the population for each route or pathway. For dietary
analyses, the relevant sources of potential exposure to carbofuran are
from the ingestion of residues in food and drinking water. The Agency
uses a combination of monitoring data and predictive models to evaluate
environmental exposure of humans to carbofuran.
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\2\ Probabilistic analysis is used to predict the frequency with
which variations of a given event will occur. By taking into account
the actual distribution of possible consumption and pesticide
residue values, probabilistic analysis for pesticide exposure
assessments ``provides more accurate information on the range and
probability of possible exposure and their associated risk values''
(Ref. 101). In capsule, a probabilistic pesticide exposure analysis
constructs a distribution of potential exposures based on data on
consumption patterns and residue levels and provides a ranking of
the probability that each potential exposure will occur. People
consume differing amounts of the same foods, including none at all,
and a food will contain differing amounts of a pesticide residue,
including none at all.
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1. Exposure from Food. Data on the residues of carbofuran in foods
are available from a variety of sources. One of the primary sources of
data comes from federally conducted surveys, including the PDP
conducted by the USDA. Further, market basket surveys, which are
typically performed by registrants, can provide additional residue
data. These data generally provide a characterization of pesticide
residues in or on foods consumed by the U.S. population that closely
approximates real world exposures because they are sampled closer to
the point of consumption in the chain of commerce than field trial
data, which are generated to establish the maximum level of legal
residues that could result from maximum permissible use of the
pesticide. In certain circumstances, when EPA believes the information
will provide more accurate exposure estimates, EPA will rely on field
trial data (see below in Unit VIII.E.1.).
EPA uses a computer program known as the DEEM-FCID\TM\ to estimate
exposure by combining data on human consumption amounts with residue
values in food commodities. DEEM-FCID\TM\ also compares exposure
estimates to appropriate RfD or PAD values to estimate risk. EPA uses
DEEM-FCID\TM\ to estimate exposure for the general U.S. population as
well as for 32 subgroups based on age, sex, ethnicity, and region.
DEEM-FCID\TM\ allows EPA to process extensive volumes of data on human
consumption amounts and residue levels in making risk estimates.
Matching consumption and residue data, as well as managing the
thousands of repeated analyses of the consumption database conducted
under probabilistic risk assessment techniques, requires the use of a
computer.
DEEM-FCID\TM\ contains consumption and demographic information on
the individuals who participated in the USDA's CSFII in 1994-1996 and
1998. The 1998 survey was a special survey required by the FQPA to
supplement the number of children survey participants. DEEM-FCID\TM\
also contains ``recipes'' that convert foods as consumed (e.g., pizza)
back into their component raw agricultural commodities (e.g., wheat
from flour, or tomatoes from sauce). This is necessary because residue
data are generally gathered on raw agricultural commodities rather than
on finished ready-to-eat food. Data on residue values for a particular
pesticide and the RfD or PADs for that pesticide are inputs to the
DEEM-FCID\TM\ program to estimate exposure and risk.
For carbofuran's assessment, EPA used DEEM-FCID\TM\ to calculate
risk estimates based on a probabilistic distribution. DEEM-FCID\TM\
combines the full range of residue values for each food with the full
range of data on individual consumption amounts to create a
distribution of exposure and risk levels. More specifically, DEEM-
FCID\TM\ creates this distribution by calculating an exposure value for
each reported day of consumption per person (``person-day'') in CSFII,
assuming that all foods potentially bearing the pesticide residue
contain such residue at a value selected randomly from the
concentration data sets. The exposure amounts for the thousands of
person-days in the CSFII are then collected in a frequency
distribution. EPA also uses DEEM-FCID\TM\ to compute a distribution
taking into account both the full range of data on consumption levels
and the full range of data on potential residue levels in food.
Combining consumption and residue levels into a distribution of
potential exposures and risk requires use of probabilistic techniques.
The probabilistic technique that DEEM-FCID\TM\ uses to combine
differing levels of consumption and residues involves the following
steps:
(1) Identification of any food(s) that could bear the residue in
question for each person-day in the CSFII.
(2) Calculation of an exposure level for each of the thousands of
person-days in the CSFII database, based on the foods identified in
Step 1 by randomly selecting residue values for the foods from
the residue database.
(3) Repetition of Step 2 one thousand times for each
person-day.
(4) Collection of all of the hundreds of thousands of potential
exposures estimated in Steps 2 and 3 in a frequency
distribution.
The resulting probabilistic assessment presents a range of
exposure/risk estimates.
2. Exposure from water. EPA may use field monitoring data and/or
simulation water exposure models to generate pesticide concentration
estimates in drinking water. Monitoring and modeling are both important
tools for estimating pesticide concentrations in water and can provide
different types of information. Monitoring data can provide estimates
of pesticide concentrations in water that are representative of the
specific agricultural or residential pesticide practices in specific
locations, under the environmental conditions associated with a
sampling design (i.e., the locations of sampling, the times of the year
samples were taken, and the frequency by which samples were collected).
Although monitoring data can provide a direct measure of the
concentration of a pesticide in water, it does not always provide a
reliable basis for estimating spatial and temporal variability in
exposures because sampling may not occur in areas with the highest
pesticide use, and/or when the pesticides are being used and/or at an
appropriate sampling frequency to detect high concentrations of a
pesticide that occur over the period of a day to several days.
Because of the limitations in most monitoring studies, EPA's
standard approach is to use simulation water exposure models as the
primary means to estimate pesticide exposure levels in drinking water.
Modeling is a useful tool for characterizing vulnerable sites, and can
be used to estimate peak pesticide water concentrations from
infrequent, large rain events. EPA's computer models use detailed
information on soil properties, crop characteristics, and weather
patterns to estimate water concentrations in vulnerable locations where
the pesticide could be used according to its label (69 FR 30042, 30058-
30065, May 26, 2004) (FRL-7355-7). These models calculate estimated
water concentrations of pesticides using laboratory data that describe
how fast the pesticide breaks down to other chemicals and how it moves
in the environment at these vulnerable locations. The modeling provides
an estimate of pesticide concentrations in ground water and surface
water. Depending on the modeling algorithm (e.g., surface water
modeling scenarios), daily concentrations can be estimated
[[Page 23051]]
continuously over long periods of time, and for places that are of most
interest for any particular pesticide.
EPA relies on models it has developed for estimating pesticide
concentrations in both surface water and ground water. Typically EPA
uses a two-tiered approach to modeling pesticide concentrations in
surface and ground water. If the first tier model suggests that
pesticide levels in water may be unacceptably high, a more refined
model is used as a second tier assessment. The second tier model for
surface water is actually a combination of two models: The Pesticide
Root Zone Model (PRZM) and the Exposure Analysis Model System (EXAMS).
The second tier model for ground water uses PRZM alone.
A detailed description of the models routinely used for exposure
assessment is available from the EPA OPP Water Models web site: https://www.epa.gov/oppefed1/models/water/index.htm. These models provide a
means for EPA to estimate daily pesticide concentrations in surface
water sources of drinking water (a reservoir) using local soil, site,
hydrology, and weather characteristics along with pesticide application
and agricultural management practices, and pesticide environmental fate
and transport properties. Consistent with the recommendations of the
FIFRA SAP, EPA also considers regional percent cropped area factors
(PCA) which take into account the potential extent of cropped areas
that could be treated with pesticides in a particular area. The PRZM
and EXAMS models used by EPA were developed by EPA's Office of Research
and Development (ORD), and are used by many international pesticide
regulatory agencies to estimate pesticide exposure in surface water.
EPA's use of the PCA area factors and the Index Reservoir scenario was
reviewed by the FIFRA SAP in 1999 and 1998, respectively (Refs. 37 and
38).
In modeling potential surface water concentrations, EPA attempts to
model areas of the country that are vulnerable to surface water
contamination rather than simply model ``typical'' concentrations
occurring across the nation. Consequently, EPA models exposures
occurring in small highly agricultural watersheds in different growing
areas throughout the country, over a 30-year period. The scenarios are
designed to capture residue levels in drinking water from reservoirs
with small watersheds with a large percentage of land use in
agricultural production. EPA believes these assessments are likely
reflective of a small subset of the watersheds across the country that
maintain drinking water reservoirs, representing a drinking water
source generally considered to be more vulnerable to frequent high
concentrations of pesticides than most locations that could be used for
crop production.
EPA uses the output of daily concentration values from tier two
modeling as an input to DEEM-FCID\TM\, which combines water
concentrations with drinking water consumption information in the daily
diet to generate a distribution of exposures from consumption of
drinking water contaminated with pesticides. These results are then
used to calculate a probabilistic assessment of the aggregate human
exposure and risk from residues in food and drinking water.
3. Aggregate exposure analyses. Using probabilistic analyses, EPA
combines the national food exposures with the exposures derived for
individual region and crop-specific drinking water scenarios to derive
estimates of aggregate exposure. Although food is distributed
nationally, and residue values are therefore not expected to vary
substantially throughout the country, drinking water is locally derived
and concentrations of pesticides in source water fluctuate over time
and location for a variety of reasons. Pesticide residues in water
fluctuate daily, seasonally, and yearly as a result of the timing of
the pesticide application, the vulnerability of the water supply to
pesticide loading through runoff, spray drift and/or leaching, and
changes in the weather. Concentrations are also affected by the method
of application, the location and characteristics of the sites where a
pesticide is used, the climate, and the type and degree of pest
pressure.
EPA's standard acute dietary exposure assessment calculates total
dietary exposure over a 24-hour period; that is consumption over 24
hours is summed and no account is taken of the fact that eating and
drinking occasions may spread out exposures over a day. This total
daily exposure generally provides reasonable estimates of the risks
from acute dietary exposures, given the nature of most chemical
endpoints. Due to the rapid recovery associated with carbofuran
toxicity (AChE inhibition), 24-hour exposure periods may or may not, a
priori, be appropriate. To the extent that a day's eating or drinking
occasions leading to high total daily exposure might be found close
together in time, or to occur from a single eating event, minimal AChE
recovery would occur between eating occasions (i.e., exposure events).
In that case, the ``24-hour sum'' approach, which sums eating events
over a 24-hour period, would provide reasonable estimates of risk from
food and drinking water. Conversely, to the extent that eating
occasions leading to high total daily exposures are widely separated in
time (within 1 day) such that substantial AChE recovery occurs between
eating occasions, then the estimated risks under any 24-hour sum
approach may be overstated. In that case, a more sophisticated approach
- one that accounts for intra-day eating and drinking patterns and the
recovery of AChE between exposure events -- may be more appropriate.
This approach is referred to as the ``Eating Occasions Analysis'' and
it takes into account the fact that the toxicological effect of a first
dose may be reduced or tempered prior to a second (or subsequent) dose.
Thus, rather than treating a full day's exposure as a one-time
``bolus'' dose, as is typically done in the Agency's assessments, the
Eating Occasion Analysis uses the actual time of eating or drinking
occasion, and amounts consumed as reported by individuals to the USDA
CSFII. The actual CSFII-recorded time of each eating event is used to
``separate out'' the exposures due to each eating occasion; in doing
so, this ``separation'' allows the Agency to distinguish between each
intake event and account for the fact that at least some partial
recovery of AChE inhibition attributable to the first (earlier)
exposure occurs before the second exposure event. For chemicals for
which the toxic effect is rapidly reversible, the time between two (or
more) exposure events permits partial to full recovery from the toxic
effect from the first exposure and it is this ``partial recovery'' that
is specifically accounted for by the Eating Occasion Analysis. More
specifically, an estimated ``persisting dose'' from the first exposure
event is added to the second exposure event to account for the partial
recovery of AChE inhibition that occurs over the time between the first
and second exposures. The ``persisting dose'' terminology, and this
general approach were originally offered by the FIFRA SAP in the
context of assessing AChE inhibition from cumulative exposures to
organophosphorous pesticides (OPs) (Ref. 40).
C. Selection of Acute Dietary Exposure Level of Concern
Because probabilistic assessments generally present a realistic
range of residue values to which the population may be exposed, EPA's
starting point for estimating exposure and risk for such aggregate
assessments is the 99.9th percentile of the population under
[[Page 23052]]
evaluation, which represents one person out of every 1,000 persons.
When using a probabilistic method of estimating acute dietary exposure,
EPA typically assumes that, when the 99.9th percentile of acute
exposure is equal to or less than the aPAD, the level of concern for
acute risk has not been exceeded. By contrast, where the analysis
indicates that estimated exposure at the 99.9th percentile exceeds the
aPAD, EPA would generally conduct one or more sensitivity analyses to
determine the extent to which the estimated exposures at the high-end
percentiles may be affected by unusually high food consumption or
residue values. To the extent that one or a few values seem to
``drive'' the exposure estimates at the high end of exposure, EPA would
consider whether these values are reasonable and should be used as the
primary basis for regulatory decision making (Ref. 101).
VI. Summary of the Proposed Rule
EPA proposed to revoke all of the existing tolerances for residues
of carbofuran on the grounds that aggregate exposure from all uses of
carbofuran fail to meet the FFDCA section 408 safety standard (73 FR
44864). Based on the contribution from food alone, EPA calculated that
dietary exposures to carbofuran exceeded EPA's level of concern for all
of the more sensitive subpopulations of infants and children. At the
99.9th percentile, carbofuran dietary exposure from food alone was
estimated at 0.000082 mg/kg/day (110% of the aPAD) for children 3-5
years old, the population subgroup with the highest estimated dietary
exposure (Ref. 16). In addition, EPA's analyses showed that those
individuals--both adults as well as children--who receive their
drinking water from vulnerable sources are also exposed to levels that
exceed EPA's level of concern--in some cases by orders of magnitude.
This primarily included those populations consuming drinking water from
ground water from shallow wells in acidic aquifers overlaid with sandy
soils that have had crops treated with carbofuran. It also included
those populations that obtain their drinking water from reservoirs
located in small agricultural watersheds, prone to runoff, and
predominated by crops that are treated with carbofuran, although there
was more uncertainty associated with these exposure estimates. The
proposal discussed a number of sensitivity analyses the Agency had
conducted in order to further characterize the potential risks to
children. Every one of these sensitivity analyses determined that
estimated exposures significantly exceeded EPA's level of concern for
children.
VII. Summary of Public Comments and EPA Responses
This section presents a summary of some of the significant comments
received on the proposed rule, as well as the Agency's responses. More
detailed responses to these comments, along with the Agency's responses
to other comments received can be found in the Response to Comments
Documents, located in the docket for this rulemaking (Refs. 111, 112,
and 113).
A. Tolerances Associated With Voluntarily Canceled Uses
On September 29, 2008, the registrant, FMC Corporation requested
EPA to eliminate several uses from their end-use products. Consistent
with this request, the registrant has indicated that it no longer seeks
to maintain the tolerances associated with the domestic use of these
products, and therefore no longer opposes the revocation of those
tolerances. No other commenter indicated any interest in maintaining
these tolerances. EPA is therefore revoking the tolerances associated
with those domestic uses, on two separate grounds. The first ground is
that the tolerances will no longer be necessary because the
registrations for these uses have been canceled. The tolerances that
EPA is revoking on this basis are: Alfalfa, forage; alfalfa, hay;
artichoke, globe; barley, grain; barley, straw; beet, sugar roots;
beet, sugar tops; corn, fresh (including sweet); corn, popcorn; cotton,
undelinted seed; cranberry; cucumber; grape; grape raisin; grape,
raisin, waste; melon; oat, grain; oat, straw; pepper; rice, straw;
sorghum, forage; sorghum, grain grain; sorghum, grain, stover;
strawberry; soybean, forage; soybean, hay; squash; wheat, grain; and
wheat, straw.
EPA also finds, however, that revocation of these tolerances is
warranted on the grounds that aggregate exposures to these residues of
carbofuran do not meet the safety standard of section 408(b)(2) of the
FFDCA. The Agency is therefore revoking tolerances for these crops
because aggregate dietary exposures to residues of carbofuran,
including all anticipated dietary exposures and all other exposures for
which there is reliable information, are not safe.
As noted in the proposed rule, based on the contribution from only
the foods bearing residues resulting from all of these tolerances,
dietary exposures to carbofuran would be unsafe for the more sensitive
children's subpopulations. At the 99.9th percentile, carbofuran dietary
exposure from food alone was estimated at 0.000082 mg/kg/day (110% of
the aPAD) for children 3-5 years old, the population subgroup with the
highest estimated dietary exposure (Ref. 70). In addition, as discussed
in more detail, both in the proposed rule, and in Unit VIII.E.2. below,
drinking water residues of carbofuran contribute significantly to
unsafe aggregate exposures. Accordingly, it has not been shown that
exposures from these uses would meet the FFDCA safety standard.
B. Comments Relating to EPA's Toxicology Assessment
1. Comments relating to EPA's PoD. One group of commenters stated
that the studies clearly support EPA's conclusion that the post-natal
day (PND)11 brain data on the inhibition of AChE in juvenile rats
provide the most appropriate PoD for risk assessment. The commenters
also claimed, however, that ``the specific PoD proposed by EPA is 0.03
mg/kg/day, but our analysis of the best data for the risk assessment
are found in the good laboratory practices (GLP) compliant studies and
those studies support 0.033 as a better value for the PND11 rat.'' This
group of commenters also described an analysis their consultant had
conducted. According to the commenters, their consultant calculated the
value of 0.033 mg/kg/day/day from the BMD10s and
BMDL10s \3\ in the four FMC studies with first observation
time equal to 0.25 hours. The BMDs and BMDLs were calculated separately
for each of these datasets. The results for the four datasets were
combined, but, unlike EPA's analyses, the datasets themselves were not
combined.
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\3\ BMD is an abbreviation for benchmark dose. The
BMDL10 is the lower 95% confidence limit on the
BMD10. The BMD10 is the estimated dose (i.e.,
benchmark dose) to result in 10% AChE inhibition. EPA uses the BMDL,
not the BMD, as the point of departure.
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With respect to using the PND11 rat pup data as the PoD, the Agency
acknowledges this area of agreement with the commenters. Ultimately,
the BMDL10 recommended by the commenters differs from the
EPA's BMDL10 by only 6% (0.031 mg/kg/day vs. 0.033 mg/kg/
day), a difference that is not biologically significant. Moreover, when
rounded to one significant digit, as is done by typical convention and
consistent with the dose information provided in the comparative
cholinesterase (ChE) studies (also called CCA studies), both values
yield the identical PoD of 0.03 mg/kg/day.
Moreover, the Agency notes that the value of 0.033 mg/kg/day
recommended
[[Page 23053]]
by the commenter does not include the 0.5-hr time-point from MRID no.
47143705 although this dataset yielded the lowest BMDL for individual
datasets reported by the commenters. As such, the commenter's
recommended value does not include all of the relevant data collected
at the time of peak effect. The commenters have provided no rationale
for why it would be appropriate to selectively exclude data from the
time frame in this study most relevant to the risk assessment.
Accordingly, as noted in footnote 115 of the comment, when the
commenters included the data at 0.5-hr timepoint from MRID no.
47143705, the BMDL10 was lowered from 0.033 to 0.030 mg/kg/
day--a value almost identical to the Agency's BMDL10 of
0.031 mg/kg/day.
Thus, although the commenters are critical of the Agency's
approach, there is basic consensus between EPA and the commenters that
the PoD is 0.03 mg/kg/day given the precision of available data in
deriving the BMDL10.
The Agency also notes that specific details about the commenter's
BMD modeling were not provided to the Agency. The Agency is therefore
unable to fully evaluate the scientific validity of the modeling
procedure used by the commenter.
Some commenters claimed that ``EPA's derivation of its PoD,
however, is not transparent and is not scientifically supported.
Equally important, based on a recent review of the raw data from the
Moser study (obtained via a FOIA request originally filed in April
2008), we believe that the Moser study may not meet minimum criteria
for scientific acceptability. Critical data are simply unavailable for
this study, including: a complete protocol, analysis of dosing
solutions, clinical observations, standardization of brain and red
blood cell (RBC) AChE results in terms of amount per unit of protein,
and quality assurance records of inspections for the carbofuran portion
of the study.'' As a result, the commenters assert that the better
approach is to use the brain AChE inhibition values calculated from the
GLP-compliant registrant studies, because the commenters claim that EPA
has acknowledged them to be valid, and which the commenters claim are
fully documented. Using EPA's BMD dose-time response model, the
commenters claim that the correct PoD is 0.033 mg/kg/day.
The Agency disagrees with the commenters' assertions that the
derivation of the PoD was not transparent. The Agency's analysis,
computer code, and data have been placed in the docket for public
scrutiny. EPA's models have been repeatedly reviewed and approved by
the FIFRA SAP (Refs. 42, 43, and 44), and, as part of that process,
been made available to the public. The most recent occasion was as part
of the February 2008 FIFRA SAP meeting on the draft carbofuran NOIC. As
EPA has explained numerous times, the Agency has not deviated from its
standard practice. Most recently, EPA laid out its approach at length
in the proposed rule. While it is true that EPA may not have repeated
in this most recent analysis all of the specifics that it has
previously provided, it is inaccurate for the commenter to claim that
the information is not available, or that its review has in any way
been hampered by this so-called lack of transparency. Indeed, given
that the commenters appear to have been able to duplicate EPA's
analyses, it seems reasonable to assume that the information was
available. It is further worth noting that the commenters had
sufficient access to the Moser data to allow a complete re-analysis
before the 2008 SAP on the draft carbofuran NOIC, which was months
before the FOIA request was filed with the Agency. In addition, a
complete study protocol as well as a report of the quality assurance
(QA) technical and data reviews of the study were included in the
documents provided in response to the FOIA request. The Agency further
notes that although the commenters complain about their perceived lack
of transparency in EPA's BMD calculations, they did not provide any
detailed information about the derivation of their proposed value.
EPA also disagrees with the claim that EPA's PoD is not
scientifically supported. As an initial matter, EPA notes that the
commenters' suggested PoD of 0.033 mg/kg/day is not significantly
different than EPA's PoD of 0.03 mg/kg/day (see Unit VIII.B.). The
criticisms of the Moser study are also incorrect. The procedures and
documentation are in accordance with the ORD Quality Assurance
Management Plan. Concerning standardization of brain and RBC AChE in
terms of protein, it is interesting to note that, despite their
complaints that EPA had failed to do this, the registrant also failed
to do this in their own studies. However, in the Moser study, the AChE
activity was standardized in terms of tissue weight per ml, so the
amount of protein was consistent across samples. This is an acceptable
and widely used practice. Further, abnormal (or ``clinical'')
observations were recorded when they occurred; however, it is not
technically possible to observe the animals while they are being tested
for motor activity. Finally, the registrant is correct that the dosing
solutions for the CCA study were not analyzed, but this was done for
the adult studies in McDaniel et al., (2007), and the preparation and
stability of the carbofuran samples were confirmed therein.
If, however, the Agency elected to follow the commenters'
recommendation to not use the ORD data in the risk assessment, there
would be no high quality RBC AChE inhibition data available in juvenile
rats. As such, there would be no surrogate data evaluating AChE
inhibition in the peripheral nervous system (PNS), much less any data
from the PNS itself. As discussed in Unit VIII.C., with the
availability of some RBC data from ORD evaluating the effects in the
PNS, the Agency is able to reduce the children's safety factor from 10X
to 4X. Without the ORD data, the Agency would be required to retain the
statutory 10X.
Some commenters raised concern that EPA's PoD was not sufficiently
protective. The commenters point to comments from the February SAP
review of EPA's draft carbofuran NOIC, quoting the following language
from the report, which indicated concern that the starting point used
in the risk assessment was not sufficiently protective:
Some Panel members questioned the assumption that a 10% level of
brain AChE inhibition (i.e., BMD10) is sufficiently
harmless to be used as a point of departure in risk assessment. It
was noted that as more refined brain data become available, we are
beginning to understand that not all regions of this organ show the
same level of AChE inhibition. Thus a 10% inhibition for the whole
brain may imply significantly greater inhibition in a more sensitive
region.
The FIFRA SAP report provides conflicting information on the issue
of the benchmark dose response used by EPA in its BMD calculations. On
page 53 of the FIFRA SAP report, the text suggests that the available
data do not support the 10% response level used in BMD modeling and
that a 20% response level is more appropriate. The text quoted by the
commenters from the report argues that a 10% response level may not be
sufficiently health protective, but that a 5% response level may be
more appropriate. Given the lack of unanimous advice by the Panel in
this case, and that past SAPs have previously supported the use of a
10% level in comparable cases, the Agency has concluded that the
overall weight of the available evidence supports a decision that use
of a 10% response level will be protective of human health.
[[Page 23054]]
A more detailed response to this issue can be found in the Agency's
response to the SAP (Ref. 109).
2. Comments relating to the children's safety factor--a. Reliance
on RBC to predict effects on the PNS. Some commenters argued that brain
is a better surrogate for the PNS than RBC, and that therefore reliance
on the brain data is sufficiently protective that no additional
children's safety factor is necessary. The commenters claim that the
carbofuran data on brain AChE inhibition and on clinical signs of
toxicity indicate that PNS AChE inhibiton is sufficiently modeled by
brain AChE inhibtion. They note that the available data show that brain
AChE responds rapidly to carbofuran; it readily passes the blood-brain
barrier and the data show maximal AChE inhibition within minutes. The
commenters also alleged that brain and tissue AChE are more similar to
each other than to RBC AChE. The commenters also point to the fact that
oral time-course studies by EPA and the registrant show that brain
cholinesterase responds quickly and recovers promptly. Carbofuran
clearly reaches the brain quickly. They also cite to the fact that EPA
has acknowledged that in adults, no difference in sensitivity is seen
between brain and RBC AChE inhibition.
The commenters repeatedly mention the rapid speed by which
carbofuran reaches the brain and the rapid onset and recovery of AChE
inhibition as support for the notion that reliance on the brain data
will be adequately protective of PNS toxicity. The Agency agrees with
the commenters on the rapid nature of carbofuran toxicity. However,
this rapid toxicity occurs in multiple tissues, not just the brain.
Moreover, the time course of such toxicity is not relevant to
determining which tissue is more sensitive. Therefore, these comments
are not relevant to a discussion of the use of brain versus RBC AChE as
a surrogate for PNS toxicity.
The commenters' allegation that brain and tissue AChE are more
similar to each other than to RBC AChE is not scientifically
supportable. Radic and Taylor (2006), for example, state, ``In humans
and most other vertebrate species, only one gene encodes AChE'' (Ref.
81). Accordingly, if only one gene encodes the enzyme, then the
structure of the active site is the same throughout the body.
Responses in adult animals are not necessarily predictive or
relevant to responses in juveniles since the metabolic capacity of
juveniles is less than that of adults. As such, juveniles can be more
sensitive to some toxic agents. Specific to carbofuran, multiple
studies have shown juvenile rats to be more sensitive than adult rats.
Thus, comments about responses in adults are less relevant compared to
data in pups from the carbofuran risk assessment, particularly in the
evaluation of the children's safety factor.
One group of commenters argue that there is evidence that RBC AChE
activity can be inhibited to a greater degree than AChE in peripheral
organs. For example, Marable et al., (2007), showed that chlorpyrifos
caused much greater inhi