Document ID: EPA-HQ-OPP-2008-0270-0007
Agency: epa
Document Type: Supporting & Related Material
Title: 
Posted Date: 2009-05-26T04:00Z

UNITED STATES ENVIRONMENTAL PROTECTION AGENCY

                              WASHINGTON, D.C. 20460

  SEQ CHAPTER \h \r 1 OFFICE OF

PREVENTION, PESTICIDES AND

TOXIC SUBSTANCES

  SEQ CHAPTER \h \r 1 							            Chemical Name: Acibenzolar

								PC Code: 	    061402

DP Barcodes: 	351609, 351610, 351044, 353745, 353746, 353747

August 12, 2008							

MEMORANDUM

Subject:	Drinking Water Exposure Assessment for Acibenzolar Use on
Cucurbits and Dry Bulb Onions 

To:	Susan Stanton, Risk Manager Reviewer

	Tawanda Maignan, Risk Manager Reviewer

Registration division (7505PY)

From:		Robert A. Miller, Environmental Protection Specialist

		Environmental Risk Branch I

Environmental Fate and Effects Division (7507PY)

		Nancy Andrews, Branch Chief

		Environmental Risk Branch I

Environmental Fate and Effects Division (7507PY)

1.  	Executive Summary

This memo provides the estimated drinking water concentrations (EDWCs)
for acibenzolar and it’s major degradate CGA 210007 to support the
human health risk assessment for the   proposed new uses on dry bulb
onions and cucurbits.  No monitoring data were available to the
Environmental Fate and Effects Division (EFED).  This drinking water
assessment was conducted for the proposed use of acibenzolar on
cucurbits because this use represents the highest use rate of the
proposed registered uses (6 applications of 0.0625 lb ai/A and one
application of 0.03125 lb ai/A).  The recommended EDWCs for acibenzolar
and CGA 210007 are presented in Table 1. 

Table 1.  EECs for use in screening the human health risk assessment

 (based on cucurbit application rate)

Drinking Water Source	

Chemical	Acute (μg/L)	NonCancer Chronic (μg/L)	Cancer Chronic(μg/L)

Surface Water	

Acibenzolar1	0.74	0.10	0.05

Surface Water	

CGA 2100072	14.21	9.48	5.47

1 Aerial application method

2 Degradation product formed after application 

The SCI-GROW estimated ground water drinking water concentrations for
acibenzolar is not expected to exceed 4.08 x 10-5 µg/L and CGA 210007
is not expected to exceed 0.557 µg/L.  

USE CHARACTERIZATION

This drinking water assessment is to determine if the new uses will
increase the residue concentration of acibenzolar and CGA 210007 in
surface and groundwater.  The new uses include the following:

•	Ground and Aerial Application on cucurbits (DP Barcode 353745)

•	Ground and Aerial Application on dry, bulb onions (DP Barcode
351044)

Acibenzolar is a broad spectrum fungicide registered for controlling
fungal diseases on tomatoes, cole crops, leafy vegetables and tobacco. 
Acibenzolar has been registered as the active ingredient in the
formulated product: Actigard® 50WG (50.0% ai).  

Syngenta has petitioned to register Actigard® 50 WG for additional new
uses on dry bulb onions and cucurbits.  The label calls for protection
of cucurbits against downy mildew, powdery mildew, scab, bacterial fruit
blotch, bacterial leaf spot, and angular leaf spot at the maximum
seasonal rate of 0.4 lbs a.i/A.  Cucurbits (Crop Group 9) include the
melon subgroup (muskmelons and watermelons), and the squash subgroup
(cucumbers and gourds, etc.).  For protection of dry bulb onions against
downy mildew, iris yellow spot, and leaf blight, the label specifies the
maximum seasonal rate of  0.125 lbs a.i./A. 

3.	Environmental Fate and Transport Characterization

Laboratory and field studies indicate that Acibenzolar does not have a
high potential to leach to ground water nor move to surface water based
on its short resident times in soil and soil water.  However, the major
degradate, CGA-210007 has a longer soil residence time, lower Freundlich
Kd adsorption values, and is much more water soluble than acibenzolar,
thereby exhibiting greater potential than the parent for lateral or
vertical movement after application.

Acibenzolar mainly degrades by photolysis and microbial action.  Aqueous
and soil photolysis irradiated half lives for parent are 0.6 hours and 1
day, respectively.  The aerobic soil metabolism and anaerobic aquatic
metabolism half lives are 5.3 hours and 4.0 days, respectively.  The
aerobic aquatic half-life was less than 1 day.  Field dissipation
half-lives ranged from less than 1 day in North Carolina to 27 days in
California.  Under aerobic soil, aerobic aquatic, and anaerobic aquatic
conditions acibenzolar quickly degrades to CGA 210007.  CGA 210007 is in
its anionic form at environmentally significant pH's (pH 6-9) and
appears to be more soluble than its parent, although measured at much
lower pH’s (approx. 225 ppm at 250C pH 3.6-3.8 v. 7.7 ppm at 250C pH
7.5-7.9).  CGA 210007 has longer resident field times than parent
(aerobic soil half-life at 16.5 days) and based on the batch equilibrium
and aged soil column leaching studies, is considerably more mobile.

The maximum BCF for Acibenzolar was 199X in the viscera (118X whole
fish, 48X fillet) reaching steady-state very rapidly (approximately 3
days).  Depuration after termination was rapid with less than 10 percent
of the value reached at day 28.  Therefore, Acibenzolar is not
considered a bioconcentrate nor is it highly bioaccumulative.

The major degradates observed were benzo[1,2,3]thiadiazole-7-carboxylic
acid (CGA 210007) in the hydrolysis and soil photolysis studies (up to
100 percent) with considerably lesser amounts found in the photolysis in
water study (8.4 percent).  The major degradate in the photolysis in
water study was CO2 (>33 percent).  Other degradates identified that may
be of toxicological concern were CGA 323060 and 324041
(hydroxy-metabolites from the photolysis on soil study).  These were
found in amounts not exceeding 0.5 percent. 

Drinking Water Assessment from Surface Water Sources

Based on the earlier actions (DP258689 and DP 301793) that the parent,
acibenzolar, and its major degradate, CGA 210007, need to be addressed
separately.  

The drinking water concentrations from surface water sources were based
on Tier II models.  The Tier II models system provides more
site-specific, refined modeling estimates of pesticide exposure by
considering additional environmental fate parameters, specific soil
data, weather information, and management practices to estimate daily
concentrations of pesticides for an extended period of time (up to 30
years).  The intended approach reflects application of acibenzolar at
the maximum label rate and with scenario intended to be representative
of an environment that is more vulnerable to runoff and erosion than
most where dry bulb onions and cucurbits may be grown.

The exposure concentrations for surface drinking water exposure
assessments were estimated based on EFED’s aquatic Tier II model
PRZM/EXAMS.  A graphical user interface (pe5.pl), developed by the EPA
(http://www.epa.gov/oppefed1/models/water), was used to facilitate
inputting chemical and use specific parameters into the appropriate PRZM
input files and EXAMS chemical files.  This approach employs PRZM, which
simulates runoff and erosion from an agricultural field on a daily time
step.  The runoff and erosion flux output data from PRZM are used as
chemical loadings to EXAMS, which simulates surface water in order to
predict the EDWCs.  EDWCs for drinking water exposure assessment were
determined using an Index Reservoir (IR) scenario which describes a
generic scenario for the EXAMS component of the modeling exercise.  

The Index Reservoir (IR) is intended as a drop-in replacement for the
standard pond for use in drinking water exposure assessment.  It is used
in a manner similar to the standard pond, except that flow rates have
been modified to reflect local weather conditions.  Guidance for using
the IR is located at: http://www.epa.gov/pesticides/trac/science/.  The
index reservoir (IR) is approximately 82 m wide and 640 m long, with an
area of 5.3 ha. The area of the entire watershed is 172.8 ha.  Weather
and agricultural practices are simulated for 30 years so that the
10-year exceedance probability at the site can be estimated.  The
simulation was generated using 30 years of meteorological data,
encompassing the years from 1961 to 1990.

The Percent Crop Area (PCA) is a generic watershed-based adjustment
factor that will be applied to pesticide concentrations estimated for
the surface water component of the drinking water exposure assessment
using PRZM/EXAMS with the index reservoir (IR).  The output generated by
the linked PRZM/EXAMS models is multiplied by the maximum percent of
crop area (PCA) in any watershed (expressed as a decimal) generated for
the crop or crops of interest.  Guidance for using PCAs and a thorough
discussion of this method and comparisons of monitoring and modeling
results for selected pesticide/crop/site combinations is located at:
http://www.epa.gov/pesticides/trac/science/.  

The standard EFED standard modeling scenario of Florida Cucumber was
used for this assessment.  This scenario is briefly identified in Table
2.  PRZM/EXAMS input parameters for acibenzolar and CGA 210007 are shown
in Table 3.  No foliar dissipation data on cucurbits was accessible;
therefore, the default foliar dissipation value was modeled in
PRZM/EXAMS. 

 

Table 2. Standard Florida cucumber modeling scenario

Crop Group	Crop Scenario	MLRA1	Soil Description	Location / Met File	1st
application date,  interval and number of applications

Curcurbit Veg. (Group 9)	FL Cucumbers	156B	Riviera sand	Collier and
Hendry County / W12842	6 @ 0.0625 lbs ai/acre and 1 @ 0.03125 with 7
days interval

1 The Major Land Resource Area is partially defined by soil properties
and meteorology.



Table 3.  PRZM/EXAMS input parameters for acibenzolar and 

CGA 210007 use on cucurbits

Parameter	

Acibenzolar	

CGA 210007	     Source

Molecular  wt.	210.3 	180.2	Product Chemistry

Water Solubility	

7.7 mg/L (ppm)	

225 mg/L (ppm)	

MRID44537042

Hydrolysis	

t½ ( 76 days	

Stable (No data)	

MRID 44014252

Aqueous Photolysis	

t½ ( 0.025 days	

Stable (No data)	

MRID 44537034

Aerobic Soil Metabolism	

t½ ( 0.22 days ( 3 ( 0.66 days (PRZM/EXAMS)

t½ ( 0.22 days (SCI-GROW)	

t½ ( 16.5 days ( 3 (49.5 days (PRZM/EXAMS)

t½ ( 16.5 days (SCI-GROW)	

MRID 44014253

Aerobic Aquatic 

Metabolism 	

DT50 ( 0.82 days

	

24 days	

MRID 44537038

EPI SUITE

Vapor Pressure	3.5e-7	

1.95 	Product Chemistry

EPI SUITE

Henry’s Law Constant	1.26e-7	N/A	Calculated

Koc (ml/g)	1847	120	MRID 44537041

MRID 44537042

Application Rate 	0.4 lbs ai per season	0.34 (calculated by molecular
weight	Label

Number of Applications per year	6 of 0.07 lbs ai/A plus 1 application of
0.03 lb ai	6 of 0.06 lbs ai/A plus 1 application of 0.03 lb ai	Label

Interval Between Applications	7	7	Label

The results of estimated drinking water concentrations for FL Cucumber
scenario with acibenzolar aerial and ground applications are shown in
Table 4.  These values have been adjusted with a default PCA value of
0.87.  An example FL Cucumber PRZM/EXAMS output file is in Appendix A.

Table 4.  Estimated drinking water concentrations of acibenzolar after
aerial and ground application

Crop	Spray Application	Peak Conc.

µg/L	21day Conc.

µg/L	60 day Conc.

µg/L

Cucurbit Vegetable (6 applications @ 0.0625 lbs ai/acre + 1 application
@ 0.03125 with 7 days interval)

FL Cucumber	Aerial	0.74	0.10	0.05

	Ground	0.71	0.06	0.03

The results of EDWCs for FL Cucumber scenario for the major degradate
CGA 210007 are displayed in Table 5.  Because CGA 210007 is a
degradation by product no aerial or ground application method was
employed and an application efficiency of 1.0 was used in PRZM/EXAMS
modeling. The application rate for CGA 210007 was determined by dividing
the molecular weight of CGA 210007 by the molecular weight acibenzolar
(180.2/210.3) and then multiplying the quotient (0.86) by the
acibenzolar application rate (0.0625 lbs a.i./A).  These values have
been adjusted with a default PCA values of 0.87.  EPI SUITE was used to
estimate aerobic soil, aerobic aquatic, and vapor pressure CGA 210007
input parameters 

Table 5.  Estimated drinking water concentrations of CGA 210007

Crop	Peak Conc.

µg/L	21day Conc.

µg/L	60 day Conc.

µg/L

Cucurbit Vegetable (6 applications 0.053 lbs ai/acre + 1 application @
0.027 applications with 7 days interval)

FL Cucumber	14.21	9.48	5.47

5.	Drinking Water Assessment from Groundwater Sources

The drinking water concentrations from ground water sources were based
on Tier I ground water model, which is a regression type approach and
did not consider site-specific information.

The groundwater concentration was estimated using a Tier I SCI-GROW
model (version 2.2, Nov. 1, 2001).  The assessment was based on an
annual use rate for cucurbits of 0.4 lb ai/A (6 applications of 0.0625
lb ai/A). The SCI-GROW model predicts the acute and chronic
concentrations of acibenzolar and CGA 210007 in shallow ground water to
be 4.08E-5 and 1.20E-1 µg/L, respectively. The SCI-GROW output files
are located in Appendix B.

Appendix A: Example PRZM/EXAMS Outputs

Acibenzolar – Florida Cucumber Aerial Scenario

stored as FLCUA.out

Chemical: Acibenzolar

PRZM environment: FLcucumberSTD.txt	modified Wedday, 13 June 2007 at
11:19:24

EXAMS environment: ir298.exv	modified Thuday, 29 August 2002 at 15:34:12

Metfile: w12844.dvf	modified Wedday, 3 July 2002 at 09:04:30

Water segment concentrations (ppb)

Year	Peak	96 hr	21 Day	60 Day	90 Day	Yearly

1961	0.4106	0.1182	0.06938	0.05047	0.03367	0.008303

1962	0.453	0.1344	0.08028	0.05479	0.03788	0.009377

1963	0.6193	0.1685	0.07664	0.05777	0.04072	0.01005

1964	014521	0.3173	0.1157	0.07021	0.04688	0.01165

1965	0.5617	0.2263	0.09454	0.05949	0.04069	0.01003

1966	0.4087	0.1318	0.07745	0.05337	0.03563	0.008904

1967	0.409	0.1331	0.07542	0.0543	0.03624	0.008992

1968	0.4428	0.1375	0.08117	0.05866	0.03916	0.009643

1969	0.5238	0.138	0.08055	0.05907	0.03944	0.01015

1970	0.4092	0.1362	0.08148	0.05374	0.03585	0.008891

1971	0.4575	0.1213	0.07201	0.05076	0.03407	0.00844

1972	0.9075	0.3172	0.1084	0.06153	0.04122	0.01016

1973	0.4109	0.1143	0.06746	0.04896	0.03291	0.008128

1974	0.4824	0.1343	0.07713	0.05498	0.03698	0.009204

1975	0.4116	0.124	0.07362	0.05149	0.03436	0.008473

1976	0.4137	0.1295	0.07955	0.05506	0.0368	0.009096

1977	0.4093	0.1566	0.08479	0.05778	0.03859	0.009597

1978	0.5688	0.23	0.09502	0.06231	0.04166	0.01027

1979	0.4327	0.1305	0.07028	0.05222	0.03485	0.008593

1980	0.4198	0.129	0.07493	0.05286	0.0353	0.008916

1981	0.4629	0.1638	0.08655	0.05579	0.03923	0.009681

1982	0.4235	0.1784	0.1013	0.06052	0.04037	0.01011

1983	0.8163	0.2174	0.09157	0.06112	0.041	0.01017

1984	1.119	0.4102	0.1395	0.0753	0.05022	0.01235

1985	0.4074	0.1096	0.06382	0.04628	0.0309	0.007669

1986	0.4074	0.1217	0.06613	0.04827	0.03242	0.008577

1987	0.4288	0.1275	0.07792	0.05359	0.03576	0.008819

1988	0.408	0.1171	0.06806	0.04897	0.0329	0.008099

1989	0.4076	0.1163	0.06719	0.05036	0.03471	0.008561

1990	0.4076	0.1164	0.06818	0.04764	0.03182	0.007853

Sorted results

Prob.	Peak	96 hr	21 Day	60 Day	90 Day	Yearly

0.032258064516129	1.119	0.4102	0.1395	0.0753	0.05022	0.01235

0.0645161290322581	0.9075	0.3173	0.1157	0.07021	0.04688	0.01165

0.0967741935483871	0.8521	0.3172	0.1084	0.06231	0.04166	0.01027

0.129032258064516	0.8163	0.23	0.1013	0.06153	0.04122	0.01017

0.161290322580645	0.6193	0.2263	0.09502	0.06112	0.041	0.01016

0.193548387096774	0.5688	0.2174	0.09454	0.06052	0.04072	0.01015

0.225806451612903	0.5617	0.1784	0.09157	0.05949	0.04069	0.01011

0.258064516129032	0.5238	0.1685	0.08655	0.05907	0.04037	0.01005

0.290322580645161	0.4824	0.1638	0.08479	0.05866	0.03944	0.01003

0.32258064516129	0.4629	0.1566	0.08148	0.05778	0.03923	0.009681

0.354838709677419	0.4575	0.138	0.08117	0.05777	0.03916	0.009643

0.387096774193548	0.453	0.1375	0.08055	0.05579	0.03859	0.009597

0.419354838709677	0.4428	0.1362	0.08028	0.05506	0.03788	0.009377

0.451612903225806	0.4327	0.1344	0.07955	0.05498	0.03698	0.009204

0.483870967741936	0.4288	0.1343	0.07792	0.05479	0.0368	0.009096

0.516129032258065	0.4235	0.1331	0.07745	0.0543	0.03624	0.008992

0.548387096774194	0.4198	0.1318	0.07713	0.05374	0.03585	0.008916

0.580645161290323	0.4137	0.1305	0.07664	0.05359	0.03576	0.008904

0.612903225806452	0.4116	0.1295	0.07542	0.05337	0.03563	0.008891

0.645161290322581	0.4109	0.129	0.07493	0.05286	0.0353	0.008819

0.67741935483871	0.4106	0.1275	0.07362	0.05222	0.03485	0.008593

0.709677419354839	0.4093	0.124	0.07201	0.05149	0.03471	0.008577

0.741935483870968	0.4092	0.1217	0.07028	0.05076	0.03436	0.008561

0.774193548387097	0.409	0.1213	0.06938	0.05047	0.03407	0.008473

0.806451612903226	0.4087	0.1182	0.06818	0.05036	0.03367	0.00844

0.838709677419355	0.408	0.1171	0.06806	0.04897	0.03291	0.008303

0.870967741935484	0.4076	0.1164	0.06746	0.04896	0.0329	0.008128

0.903225806451613	0.4076	0.1163	0.06719	0.04827	0.03242	0.008099

0.935483870967742	0.4074	0.1143	0.06613	0.04764	0.03182	0.007853

0.967741935483871	0.4074	0.1096	0.06382	0.04628	0.0309	0.007669

0.1	0.84852	0.30848	0.10769	0.062232	0.041616	0.01026

					Average of yearly averages:	0.00929186666666667

Inputs generated by pe5.pl - Novemeber 2006

Data used for this run:

Output File: FLCUA

Metfile:	w12844.dvf

PRZM scenario:	FLcucumberSTD.txt

EXAMS environment file:	ir298.exv

Chemical Name:	Acibenzolar

Description	Variable Name	Value	Units	Comments

Molecular weight	mwt	210.3	g/mol

Henry's Law Const.	henry	1.26e-7	atm-m^3/mol

Vapor Pressure	vapr	3.5e-6	torr

Solubility	sol	7.7	mg/L

Kd	Kd		mg/L

Koc	Koc	1847	mg/L

Photolysis half-life	kdp	0.025	days	Half-life

Aerobic Aquatic Metabolism	kbacw	0.82	days	Halfife

Anaerobic Aquatic Metabolism	kbacs	4.0	days	Halfife

Aerobic Soil Metabolism	asm	0.66	days	Halfife

Hydrolysis:	pH 7	76.3	days	Half-life

Method:	CAM	2	integer	See PRZM manual

Incorporation Depth:	DEPI	0	cm

Application Rate:	TAPP	0.07	kg/ha

Application Efficiency:	APPEFF	0.95	fraction

Spray Drift	DRFT	0.16	fraction of application rate applied to pond

Application Date	Date	16/10	dd/mm or dd/mmm or dd-mm or dd-mmm

Interval 1	interval	7	days	Set to 0 or delete line for single app.

app. rate 1	apprate	0.07	kg/ha

Interval 2	interval	7	days	Set to 0 or delete line for single app.

app. rate 2	apprate	0.07	kg/ha

Interval 3	interval	7	days	Set to 0 or delete line for single app.

app. rate 3	apprate	0.07	kg/ha

Interval 4	interval	7	days	Set to 0 or delete line for single app.

app. rate 4	apprate	0.07	kg/ha

Interval 5	interval	7	days	Set to 0 or delete line for single app.

app. rate 5	apprate	0.07	kg/ha

Interval 6	interval	19	days	Set to 0 or delete line for single app.

app. rate 6	apprate	0.028	kg/ha

Record 17:	FILTRA	

	IPSCND	

	UPTKF	

Record 18:	PLVKRT	

	PLDKRT	

	FEXTRC	0.5

Flag for Index Res. Run	IR	Reservoir

Flag for runoff calc.	RUNOFF	total	none, monthly or total(average of
entire run)

CGA 210007 – Florida Cucumber Scenario

stored as CGAFLCU.out

Chemical: CGA 2100 007

PRZM environment: FLcucumberSTD.txt	modified Wedday, 13 June 2007 at
11:19:24

EXAMS environment: ir298.exv	modified Thuday, 29 August 2002 at 15:34:12

Metfile: w12844.dvf	modified Wedday, 3 July 2002 at 09:04:30

Water segment concentrations (ppb)

Year	Peak	96 hr	21 Day	60 Day	90 Day	Yearly

1961	2.192	1.959	1.407	0.9012	0.6306	0.1555

1962	2.464	2.253	0.8773	0.5501	0.4916	0.1671

1963	5.913	3.62	2.494	1.875	1.674	0.5298

1964	16.41	14.95	10.13	6.063	4.182	1.373

1965	13.73	12.67	9.183	5.304	3.733	1.076

1966	4.14	3.781	2.758	1.554	1.103	0.4882

1967	3.188	2.851	1.89	1.115	0.7681	0.2608

1968	3.1	2.779	2.198	1.593	1.147	0.3148

1969	4.662	4.258	3.1	2.714	2.057	0.7975

1970	1.433	1.316	0.98	0.7112	0.5176	0.1467

1971	3.998	3.74	2.706	1.588	1.155	0.3307

1972	27.22	24.42	16.1	8.02	5.347	1.398

1973	2.054	1.87	1.434	0.8343	0.6007	0.2572

1974	5.229	4.712	3.251	1.891	1.403	0.4685

1975	1.919	1.732	1.168	0.7085	0.5132	0.1909

1976	4.996	4.516	3.055	1.92	1.373	0.4006

1977	9.971	9.085	6.414	3.414	2.277	0.6739

1978	10.49	9.696	6.673	4.289	3.092	0.8922

1979	2.431	2.17	1.48	1.111	0.8662	0.3548

1980	2.77	2.556	1.806	1.206	0.8427	0.3465

1981	9.31	8.453	5.808	3.231	2.154	0.5813

1982	15.61	14.15	10.98	6.314	4.263	1.49

1983	6.822	6.114	5.271	3.41	2.491	0.778

1984	26.61	24.82	16.97	8.731	5.915	1.544

1985	3.585	3.297	2.376	1.309	0.9769	0.2953

1986	6.991	6.509	4.787	2.523	1.87	0.9064

1987	9.28	8.525	6.12	3.453	2.303	0.6735

1988	3.675	3.336	2.359	1.298	0.8743	0.2903

1989	4.005	3.663	1.609	0.8668	0.7235	0.226

1990	2.661	2.401	1.71	0.8817	0.6269	0.2087

Sorted results

Prob.	Peak	96 hr	21 Day	60 Day	90 Day	Yearly

0.032258064516129	27.22	24.82	16.97	8.731	5.915	1.544

0.0645161290322581	26.61	24.42	16.1	8.02	5.347	1.49

0.0967741935483871	16.41	14.95	10.98	6.314	4.263	1.398

0.129032258064516	15.61	14.15	10.13	6.063	4.182	1.373

0.161290322580645	13.73	12.67	9.183	5.304	3.733	1.076

0.193548387096774	10.49	9.696	6.673	4.289	3.092	0.9064

0.225806451612903	9.971	9.085	6.414	3.453	2.491	0.8922

0.258064516129032	9.31	8.525	6.12	3.414	2.303	0.7975

0.290322580645161	9.28	8.453	5.808	3.41	2.277	0.778

0.32258064516129	6.991	6.509	5.271	3.231	2.154	0.6739

0.354838709677419	6.822	6.114	4.787	2.714	2.057	0.6735

0.387096774193548	5.913	4.712	3.251	2.523	1.87	0.5813

0.419354838709677	5.229	4.516	3.1	1.92	1.674	0.5298

0.451612903225806	4.996	4.258	3.055	1.891	1.403	0.4882

0.483870967741936	4.662	3.781	2.758	1.875	1.373	0.4685

0.516129032258065	4.14	3.74	2.706	1.593	1.155	0.4006

0.548387096774194	4.005	3.663	2.494	1.588	1.147	0.3548

0.580645161290323	3.998	3.62	2.376	1.554	1.103	0.3465

0.612903225806452	3.675	3.336	2.359	1.309	0.9769	0.3307

0.645161290322581	3.585	3.297	2.198	1.298	0.8743	0.3148

0.67741935483871	3.188	2.851	1.89	1.206	0.8662	0.2953

0.709677419354839	3.1	2.779	1.806	1.115	0.8427	0.2903

0.741935483870968	2.77	2.556	1.71	1.111	0.7681	0.2608

0.774193548387097	2.661	2.401	1.609	0.9012	0.7235	0.2572

0.806451612903226	2.464	2.253	1.48	0.8817	0.6306	0.226

0.838709677419355	2.431	2.17	1.434	0.8668	0.6269	0.2087

0.870967741935484	2.192	1.959	1.407	0.8343	0.6007	0.1909

0.903225806451613	2.054	1.87	1.168	0.7112	0.5176	0.1671

0.935483870967742	1.919	1.732	0.98	0.7085	0.5132	0.1555

0.967741935483871	1.433	1.316	0.8773	0.5501	0.4916	0.1467

0.1	16.33	14.87	10.895	6.2889	4.2549	1.3955

					Average of yearly averages:	0.587206666666667

Inputs generated by pe5.pl - Novemeber 2006

Data used for this run:

Output File: CGAFLCU

Metfile:	w12844.dvf

PRZM scenario:	FLcucumberSTD.txt

EXAMS environment file:	ir298.exv

Chemical Name:	CGA 2100 007

Description	Variable Name	Value	Units	Comments

Molecular weight	mwt	180.2	g/mol

Henry's Law Const.	henry		atm-m^3/mol

Vapor Pressure	vapr	1.95e-5	torr

Solubility	sol	225	mg/L

Kd	Kd		mg/L

Koc	Koc	120	mg/L

Photolysis half-life	kdp	0	days	Half-life

Aerobic Aquatic Metabolism	kbacw	24	days	Halfife

Anaerobic Aquatic Metabolism	kbacs	0	days	Halfife

Aerobic Soil Metabolism	asm	49.5	days	Halfife

Hydrolysis:	pH 7	76.3	days	Half-life

Method:	CAM	2	integer	See PRZM manual

Incorporation Depth:	DEPI	0	cm

Application Rate:	TAPP	0.06	kg/ha

Application Efficiency:	APPEFF	1	fraction

Spray Drift	DRFT	0	fraction of application rate applied to pond

Application Date	Date	16/10	dd/mm or dd/mmm or dd-mm or dd-mmm

Interval 1	interval	7	days	Set to 0 or delete line for single app.

app. rate 1	apprate	0.06	kg/ha

Interval 2	interval	7	days	Set to 0 or delete line for single app.

app. rate 2	apprate	0.06	kg/ha

Interval 3	interval	7	days	Set to 0 or delete line for single app.

app. rate 3	apprate	0.06	kg/ha

Interval 4	interval	7	days	Set to 0 or delete line for single app.

app. rate 4	apprate	0.06	kg/ha

Interval 5	interval	7	days	Set to 0 or delete line for single app.

app. rate 5	apprate	0.06	kg/ha

Interval 6	interval	19	days	Set to 0 or delete line for single app.

app. rate 6	apprate	0.03	kg/ha

Record 17:	FILTRA	

	IPSCND	

	UPTKF	

Record 18:	PLVKRT	

	PLDKRT	

	FEXTRC	0.5

Flag for Index Res. Run	IR	Reservoir

Flag for runoff calc.	RUNOFF	total	none, monthly or total(average of
entire run)



Appendix B: SCI-GROW Outputs

   

                           SCIGROW

                          VERSION 2.3

            ENVIRONMENTAL FATE AND EFFECTS DIVISION

                 OFFICE OF PESTICIDE PROGRAMS

             U.S. ENVIRONMENTAL PROTECTION AGENCY

                        SCREENING MODEL

                FOR AQUATIC PESTICIDE EXPOSURE

 

 SciGrow version 2.3

 chemical:Acibenxolar

 time is  8/ 8/2008   8:51:28

 -----------------------------------------------------------------------
-

  Application      Number of       Total Use    Koc      Soil Aerobic

  rate (lb/acre)  applications   (lb/acre/yr)  (ml/g)   metabolism
(days)

 -----------------------------------------------------------------------
-

      0.063           6.0           0.375      1.85E+03        0.8

 -----------------------------------------------------------------------
-

 groundwater screening cond (ppb) =   4.08E-05 

 ***********************************************************************
*

 

                           SCIGROW

                          VERSION 2.3

            ENVIRONMENTAL FATE AND EFFECTS DIVISION

                 OFFICE OF PESTICIDE PROGRAMS

             U.S. ENVIRONMENTAL PROTECTION AGENCY

                        SCREENING MODEL

                FOR AQUATIC PESTICIDE EXPOSURE

 

 SciGrow version 2.3

 chemical:CGA 210 007

 time is  8/ 8/2008   8:52:25

 -----------------------------------------------------------------------
-

  Application      Number of       Total Use    Koc      Soil Aerobic

  rate (lb/acre)  applications   (lb/acre/yr)  (ml/g)   metabolism
(days)

 -----------------------------------------------------------------------
-

      0.530           6.0           3.180      1.20E+02       24.0

 -----------------------------------------------------------------------
-

 groundwater screening cond (ppb) =   5.57E-01 

 ***********************************************************************
*

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