UNITED STATES ENVIRONMENTAL PROTECTION AGENCY 

WASHINGTON, D.C. 20460 

OFFICE OF PREVENTION, 

PESTICIDES AND TOXIC SUBSTANCES 

PC Code: 147500 

DP Barcode: DP No. 

299583 

Date: 1/28/05 

MEMORANDUM : Drinking Water Assessment for pinoxaden use on 

wheat and barley. 

TO : P.V. Shah, Senior Scientist 

Registration Action Branch I 

Health Effects Division (7509C) 

Mohsen Sahafeyan, Chemist 

Registration Action Branch I 

Health Effects Division (7509C) 

FROM : Ibrahim Abdel-Saheb/~gronomist .-k A 

Environmental Risk Branch I1 

Environmental Fate and Effects Division (7507C) 

PEER REVIEW: Dana Spatz/Senior Chemist 

Environmental Risk Branch I1 

Environmental Fate and Effects Division (7507C) 

THRU : Tom Bailey, Branch Chief 

Environmental Risk Branch I1 

Environmental Fate and Effects Division (7507C) 

Conclusions: 

The Propanoic acid, 2,2-dimethyl-,8-(2,6-diethyl-4- 

methy1pheny1)-1,2,4,5-tetrahydro-7-oxo-7Hpyrazolo[l,4,5]oxadiazepin-9-yl ester (pinoxaden) use on wheat and 

barley is represented by this memorandum,, Wheat, as a 

representative scenario for the above crops, is used in this 

assessment. 

Pinoxaden is a new postemergence herbicide for control of 

grass weeds in wheat (including durum) and barely. Pinoxaden is 

Text Searchable File
- applied foliarly by ground or aerial application. It is a systemic 

herbicide which is rapidly absorbed and translocated. Its mode of 

action is to inhibit the acetyl CoA carboxylase (ACCase) enzyme. 

EFED currently has no monitoring data for pinoxaden in surface 

or groundwater. 

EFED has conducted a Tier I1 drinking water assessment for 

pinoxaden and its major transformation products (NOA-407854, and 

NOA-447204) using The Tier I1 screening models PRZM' and EXAMS* with 

the Index Reservoir and Percent Crop Area adjustment (IR-PCA 

PRZM/EXAMS), to determine estimated surface water concentrations of 

pinoxaden from its use wheat in North Dakota (available scenario). 

According to U.S. Department of Agriculture, in 2004, North 

Dakota's wheat production is ranked second in the Nation, behind 

Kansas. 

Human exposure to the total toxic residues of pinoxaden 

through ingestion of drinking water from use on wheat was assessed 

through modeling. The Health Effects Division (HED) has determined 

that the degradates (NOA-407854, and NOA-447204) are of 

toxicological concern. To estimate potential human exposure to 

pinoxaden and degradates of concern through ingestion of drinking 

water the Environmental Fate and Effects Division (EFED) used the 

total toxic residue approach. The total toxic residue approach 

provides a single estimated exposure concentration (EEC) for all 

residues of concern (i.e. parent pinoxaden plus degradates) using 

data contained in the environmental fate studies submitted for 

parent pinoxaden. 

The Screening Concentration in Groundwater (SCI- GROW^) model 

was used to estimate groundwater concentrations for pinoxaden. 

Modeling results are shown in Table 1. 
The IR-PCA PRZM/EXAMS modeling results indicate that pinoxaden 

has the potential to contaminate surface waters by spray drift, and 

runoff in areas with large amounts of annual rainfall. 

use (s) modeled 1 application @ 0.0624 

Environmental Fate and Transport Assessment 

PCA 

Hydrolysis of pinoxaden is pH dependent and faster under basic 

conditions. Aqueous photolysis of pinoxaden is not a major 

dissipation route when exposed to sunlight. In soil, photolysis is 

also not a significant pathway for degradation for pinoxaden 

without hydrolytic degradation. 

lb ai/acre, aerial 

application 

0.56 

Acceptable laboratory studies showed that pinoxaden degrades 

rapidly under aerobic soil metabolism conditions with half-lives 

ranges from 2-3 days forming the major degradate (NOA-407854) , which degrades further to form the degradate NOA-447204. 

Under aerobic aquatic conditions, pinoxaden degrades rapidly 

to (half-life < 1 day). Major transformation product (NOA-407854) 

with maximums of 96.6%, 16.7% and 103.5% of the applied in water 

layer, sediment and total system, respectively. NOA-407854 was the 

major product detected in the treated water-sediment systems under 

both anaerobic and aerobic. Minor identified transformation product 

(NOA-447204) with maximums of O.3%, 0.1% and 0.4% in water, 

sediment and total system, respectively. Under aerobic aquatic 

conditions, More than 86% of applied activity remains (in total 

system) in form of the major degradate NOA-407854 (MRID# 46203015) . 1 

Volatility is not a significant route of dissipation. 

Pinoxaden major degradates (NOA-407854, and NOA-447204) are 

considered to be mobile based on Freundlich K,,, values ranging from 

0.06-128 ml/g, and 0.28-0856 ml/g, respectively, in three test 

soils (loamy sand, loam, silty clay loam textures). 

Surface Water 

Monitorinq 

The EFED currently has no monitoring data on the concentrations of 

pinoxaden in surface water. 

Modelinq 
Tier I1 surface water modeling was conducted using the Index 

Reservoir (IR) scenario and Percent Crop Area (PCA) factor applied 

after modeling. 

The Index Reservoir represents a potentially vulnerable 

drinking water source based on the geometry of an actual Reservoir 

and its watershed in a specific area (Illinois), using regional 

specific cropping patterns, weather, soils, and other factors. 

The PCA is a generic watershed-based adjustment factor which 

represents the portion of a watershed planted to a crop or crops. 

The PCA 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 scenario. 

The IR-PCA PRZM/EXAMS model use and fate input parameters for 

pinoxaden in surface water are shown in Table 2. Table 1 above 

shows the results of the IR-PCA PRzM/EXAMS modeling. The IR-PCA 

PRZM/EXAMS model output file for pinoxaden is shown in Appendix I. 

Table 2 : IR-PC PRZM/EXAMS input parameters for pinoxaden use on wheat in North Dakaota. 

Input variable (Units) 

Crop name 

application rate (lb 

ai/acre) 

Interval between appl. (d) 

Application efficiency 

Spray drift fraction 

Application method 

DWRATE (day-') 

& m/g) 

Henry's Law Const. 

(ah. m3/mole) 

KBACW (h-') 

Input value & 

calculations 

wheat 

0.0624 

N/A 

0.95; 0.99 

0.16; 0.064 

Aerial, Ground 

0.02 

0.16 

4.27X10-I' 

0.001 

Source/Quality of data 

MRID# 46224801 

MRID# 46224801. 

MRID# 46224801 

For aerial application, and ground 

application, respectivley; Input 

parameters guideline (2/28/2002) . 

For aerial application, and ground 

application, respectivley; Input 

parameters guideline (2/28/2002). 

EPA Reg. No. 62719-308 

MRID # 46203011-13; Input parameters 

guideline (2/28/2002) .Upper 90th 

percentile of aerobic soil total residue 

half lives . 

Average of four values (NOA-407854); 

MRID# 46203017; Input parameters 

guideline (2/28/2002) . 

(NOA-407854) ; MRID# 46203006. 

MRID # 46203015; Input parameters 

guideline (2/28/2002) .Upper 90th 

percentile of aerobic soil total residue 

half lives 
Assumptions and uncertainties7 

Index Reservoir 

The Index Reservoir represent potential drinking water 

exposure from a specific area (Illinois) with specific cropping 

patterns, weather, soils, and other factors. Use of the Index 

Reservoir for areas with different climates, crops, pesticides 

used, sources of water (e. g. rivers instead of Reservoirs, etc) , and hydrogeology creates uncertainties. In general, because the 

Index Reservoir represents a fairly vulnerable watershed, the 

exposure estimated with the Index Reservoir will likely be higher 

than the actual exposure for most drinking water sources. However, 

The Index Reservoir is not a worst case scenario, communities that 

derive their drinking water from smaller bodies of water with 

minimal outflow, or with more runoff prone soils would likely get 

higher drinking water exposure than estimated using the Index 

Reservoir. Areas with a more humid climate that use a similar 

Reservoir and cropping patterns may also get more pesticides in 

their drinking water than predicted using this scenario. 

Stable. No Anaerobic aquatic data 

available; Input parameters guideline 

(2/28/2002) . 

(NOA-407854); MRID# 46203008; Input 

parameters guideline (2/28/2002) . 

(NOA-407854);MRID# 46203005; Input 

parameters guideline (2/28/2002) . 

Average of four values (NOA-407854); MRID# 

46203017 ; Input parameters guideline 

(2/28/2002) . 

MRID# 46203006 (parent) ; Input parameters 

guideline (2/28/2002) . 

MRID# 46203006 (NOA-407854); multiplied by 

10.Input parameters guideline (2/28/2002). 

(NOA-407854); MRID# 46203006. 

KBACS (h-l) 

WP (h-l) 

KAH, KNH, KBH (h-l) 

KPS (mL/g) 

(g/mole) 

Solubility @ 25 OC (mg/L) 

Vapor pressure (torr) 

PRZM/EXAMS uses the characteristics of a single soil to 

represent the soil in the basin. In fact, soils can vary 

substantially across even small areas, and this variation is not 

reflected in these simulations. 

0 

Stable 

stable 

0.16 

400.5 

3800 

3. 9-lo 

PRZM/EXAMS does not consider tile drainage. Areas that are 

prone to substantial runoff are often tile drained. Tile drainage 

contributes additional water and in some cases, additional 

pesticide loading to the Reservoir. This may cause either an 

increase or decrease in the pesticide concentration in the 

Reservoir. Tile drainage also causes the surface soil to dry out 
faster. This will reduce runoff of the pesticide into the 

Reservoir. The watershed used as the model for the Index Reservoir 

(Shipman City Lake) does not have tile drainage in the cropped 

areas. 

EXAMS is unable to easily model spring and fall turnover. 

Turnover occurs when the temperature drops in the fall and the 

thermal stratification of the Reservoir is removed. Turnover 

occurs again in the spring when the Reservoir warms up. This 

results in complete mixing of the chemical through the water column 

at these times. Because of this inability, the Index Reservoir has 

been simulated without stratification. There is data to suggest 

that Shipman City Lake, upon which the Index Reservoir is based, 

does indeed stratify in the deepest parts of the lake at least in 

some years. This may result in over or underestimation of the 

concentration in drinking water depending upon the time of the year 

and the depth the drinking water intake is drawing from. 

Percent Crop Area Correction Factor 

The PCA is a watershed-based modification. Implicit in its 

application is the assumption that currently-used field-scale 

models reflect basin-scale processes consistently for all 

pesticides and uses. In other words, we assume the field scale 

processes simulated by the coupled PRZM and EXAMS models are a 

reasonable approximation of pesticide fate and transport within a 

watershed that contains a drinking water Reservoir. If the models 

fail to capture pertinent basin-scale fate and transport processes 

consistently for all pesticides and all uses, the application of a 

factor that reduces the estimated concentrations predicted by 

modeling could, in some instances, result in inadvertently passing 

a chemical through the screen that may actually pose a risk. Some 

preliminary assessments made in the development of the PCA suggest 

that PRZM/EXAMS may not be realistically capturing basin-scale 

processes for all pesticides or for all uses. A preliminary survey 

of water assessments which compared screening model estimates to 

readily available monitoring data suggest uneven model results. In 

some instances, the screening model estimates are more than an 

order of magnitude greater than the highest concentrations reported 

in available monitoring data; in other instances, the model 

estimates are less than monitoring concentrations. Because of these 

concerns, the Science Advisory .Panel (SAP) recommended using the 

PCA only for "majorff crops in the Midwest. For other crops, 

development of PCAf s will depend on the availability of relevant 

monitoring data that could be used to evaluate the result of the 

PCA adjustment. 

The spatial data used for the PCA came from readily-available 
sources and have a number of inherent limitations: 

The size of the 8-digit HUC [mean = 366,989 ha; range = 6.7- 

2,282,081 ha; n = 2,1111 may not provide reasonable estimates 

of actual PCAf s for smaller watersheds. The watersheds that 

drain into drinking water Reservoirs are generally smaller 

than the 8-digit HUC and may be better represented by 

watersheds defined for drinking water intakes. 

The conversion of the county level data to watershed-based 

percent crop areas assumes the distribution of the crops 

within a county is uniform and homogeneous throughout the 

county area. Distance between the treated fields and the 

water body is not addressed. 

The PCAts were generated using data from the 1992 Census of 

Agriculture. However, recent changes in the agriculture sector 

from farm bill legislation may significantly impact the 

distribution of crops throughout the country. The methods 

described in this report can rapidly be updated as more 

current agricultural crops data are obtained. The assumption 

that yearly changes in cropping patterns will cause minimal 

impact needs to be evaluated. 

The PCA adjustment is only applicable to pesticides applied to 

agricultural crops. Contributions to surface waters from nonagricultural uses such as urban environments are not well-modeled. 

Currently, non-agricultural uses are not included in the screening 

model assessments for drinking water. 

The PCA does not consider percent crop treated because 

detailed pesticide usage data are extremely limited at this time. 

Detailed pesticide usage data are currently available for only a 

few states. 

Groundwater 

Monitorinq 

The EFED has no monitoring data on the concentrations of 

pinoxaden in groundwater at the present time. 

The SCI-GROT model was used to estimate potential groundwater 

concentrations of pinoxaden . Table 3 shows the input parameter values used in SCI-GROW modeling. 

I I I Table 3. Input parameters for pinoxaden used in the SCI-GROW model. I 

I Input variable Source/Quality of data I I calculations I 

Wheat I 
Groundwater EECs predicted using the SCI-GROW screening model 

are substantially less (0.094 ppb)than those estimated for surface 

water using PRZM and EXAMS. However, pinoxaden major degradate NOA407854), should persist longer in groundwater than in surface 

water. 

Application rate (lb ai/acre) 

Maximum No. of Applications 

a, (a/g) 

Aerobic Soil metabolism t,,, . (day 

REFERENCES 

1. Carsel, R.F., J.C. Imhoff, P.R. Hummel, J.M. Cheplick and J.S. 

Donigian, Jr. 1997. PRZM-3, A Model for Predicting Pesticide 

and Nitrogen Fate in Crop Root and Unsaturated Soil Zones: 

Users Manual for Release 3.0; Environmental Research 

Laboratory, Office of Research and Development, U.S. 

Environmental Protection Agency, Athens, GA. 

0.0624 

1 

4.2 

29.4 

2. Burns, L.A. March 1997. Exposure Analysis Modeling System 

(EXAMSII) Users Guide for Version 2.97.5, Environmental 

Research Laboratory, Office of Research and Development, U.S. 

Environmental Protection Agency, Athens, GA. 

MRID# 46224801 

MRID# 46224801 

MRID# 46203017 (NOA- 407854); Lowest value; 

Input parameters guideline (2/28/2002) 

 ID# 46203011-13; Mean; Input parameters 

guideline (2/28/2002) 

3. Barrett, M., 1997, Proposal For a Method to Determine 

Screening Concentration Estimates for Drinking Water Derived 

from Groundwater Studies, EFED/OPP. 

4. Effland, W., N. Thurman, I. Kennedy, R.D. Jones, J. 

Breithaupt, J. Lin, J. Carleton, L. Libel. R. Parker, and R. 

Matzner . 2000. " Guidance for use of the Index Reservoir and 

Percent Crop Area Factor in drinking water exposure assessment 

s. Office of Pesticide Programs. 

5. Guidance for Chemistry and Management Practice Input 

Parameters For Use in Modeling the Environmental Fate and 

Transport of Pesticides. Version 2. December 10, 2001. U.S. 

EPA Office of Pesticide Programs, Environmental Fate and 
Effects Division. 

6. Jones. R.D . 2002. Chemical properties of the pyrethroid 

insecticides to support surface water modeling. EPA Office of 

Pesticide Programs, Environmental Fate and Effects Division. 

7. Carsel, R.F., J.C. Imhoff, P.R. Hummel, J.M. Cheplick and J.S. 

Donigian, Jr. 1997. PRZM-3, A Model for Predicting Pesticide I 

and Nitrogen Fate in Crop Root and Unsaturated Soil Zones: 

Users Manual for Release 3.0; Environmental Research 

Laboratory, Office of Research and Development, U.S. 

Environmental Protection Agency, Athens, GA. 

8. U.S. Department of Agriculture. Washington Agricultural 

Statistics Service. A t 

http:??www.nass.usda.gov/wa/press/whtprdO9.pdf. 

APPENDIX I 

IR-PCA PRZM/EXAMS INPUT & OUTPUT FILE FOR THE USE OF 

PINOXADEN ON Wheat IN NORTH DAKOTA 

Aerial Application 

stored as PnxwtRDr.out 

Chemical: pinoxaden 

PRZM environment: NDwheatC.txt modified Satday, 12 October 

EXAMS environment: ir298.exv modified Thuday, 29 August 

Metfile: w14914.dvf modified Wedday, 3 July 2002 

Water segment concentrations (ppb) 

Year Peak 96 hr 

1961 0.4088 

1962 1.523 

1963 1.368 

1964 0.9245 

1965 0.7668 

1966 0.731 1 

1967 0.7808 

1968 0.7841 

1969 0.981 3 

1970 0.831 

1971 1.167 

1972 0.8721 

21 Day 60 Day 90 Day Yearly 

0.4056 0.3942 0.3726 0.3614 0.1879 

1.513 1.473 1.386 1.323 0.7414 

1.36 1.336 1.257 1.199 0.8568 

0.9186 0.8936 0.8632 0.8402 0.661 

0.7622 0.7519 0.7145 0.6834 0.5112 

0.7267 0.714 0.6803 0.651 0.4595 

0.7758 0.7552 0.7103 0.6872 0.4781 

0.7793 0.7606 0.7182 0.6965 0.4922 

0.977 0.9525 0.9018 0.8623 0.5781 

0.8258 0.8075 0.7696 0.7391 0.5431 

1.16 1.13 1.064 1.015 0.6557 

0.8667 0.8438 0.7959 0.761 9 0.5771 
Sorted results 

Prob. Peak 

0.032258 2.274 

0.064516 1.523 

0.096774 1.368 

0.129032 1.262 

0.16129 1.196 

0.193548 1.187 

0.225806 1.167 

0.258065 1.031 

0.290323 1.009 

0.322581 0.9813 

0.354839 0.9294 

0.387097 0.9245 

0.419355 0.8775 

0.451613 0.8721 

0.483871 0.831 

0.516129 0.8276 

0.548387 0.81 52 

0.580645 0.7917 

0.612903 0.7841 

0.645161 0.7808 

0.67741 9 0.7754 

0.709677 0.7668 

0.741 935 0.7541 

0.7741 94 0.7362 

0.806452 0.7333 

0.83871 0.731 1 

0.870968 0.7177 

0.903226 0.6873 

0.935484 0.6661 

0.967742 0.4088 

0.7528 

1.159 

0.9982 

0.7663 

0.6938 

0.709 

0.6678 

0.6449 

2.206 

1.15 

0.8017 

0.7901 

1.224 

0.8505 

0.9001 

0.71 35 

0.7296 

0.9754 

21 Day 

2.206 

1.473 

1.336 

1.224 

1.159 

1.15 

1.13 

0.9982 

0.9754 

0.9525 

0.9001 

0.8936 

0.8505 

0.8438 

0.8075 

0.801 7 

0.7901 

0.7663 

0.7606 

0.7552 

0.7528 

0.751 9 

0.7296 

0.714 

0.71 35 

0.709 

0.6938 

0.6678 

0.6449 

0.3942 

1.3248 

0.71 09 

1.091 

0.9369 

0.7203 

0.6637 

0.6687 

0.6574 

0.6101 

2.079 

1.098 

0.7574 

0.7437 

1.154 

0.8344 

0.851 1 

0.6751 

0.6896 

0.9171 

60 Day 

2.079 

1.386 

I .257 

1.154 

1.098 

1.091 

1.064 

0.9369 

0.9171 

0.901 8 

0.8632 

0.851 1 

0.8344 

0.7959 

0.7696 

0.7574 

0.7437 

0.7203 

0.7182 

0.7145 

0.7109 

0.7103 

0.6896 

0.6803 

0.6751 

0.6687 

0.6637 

0.6574 

0.6101 

0.3726 

1.2467 

90 Day 

1.984 

1.323 

1.199 

1.103 

1.053 

1.042 

1.015 

0.894 

0.8747 

0.8623 

0.8402 

0.814 

0.8073 

0.761 9 

0.7391 

0.7244 

0.71 89 

0.6965 

0.6872 

0.687 

0.6834 

0.6794 

0.6597 

0.6542 

0.651 

0.6448 

0.6381 

0.6371 

0.5827 

0.3614 

Yearly 

1.115 

0.9046 

0.8568 

0.7414 

0.7025 

0.6683 

0.661 

0.6564 

0.6557 

0.628 

0.5781 

0.5771 

0.5732 

0.569 

0.5657 

0.5431 

0.529 

0.51 12 

0.507 

0.4922 

0.4874 

0.4802 

0.4781 

0.4612 

0.4595 

0.4578 

0.4576 

0.4527 

0.41 84 

0.1879 
Average of yearly averages: 0.579203 

Inputs generated by pe4.pl - 8-Aug-03 

Data used for this run: 

Output File: PnxwtRDr 

Metfile: w14914.dvf 

PRZM scenario: NDwheatC.txt 

EXAMS environment file: ir298.exv 

Chemical Name: pinoxaden 

Descriptio Variable Name Value Units Comment 

n s 

Molecular weight mwt 400.51 glmol 

Henry's Law Const. henry 4.27E-13 atm-mA31mol 

Vapor Pressure vapr 3.90E-10 torr 

Solubility sol 3800 mg/L 

Kd Kd 0.16 mglL 

Koc Koc mg1L 

Photolysis half-life kd P 0 days Half-life 

Aerobic Aquatic Metabolism kbacw 937 days . Halfife 

Anaerobic Aquatic Metabolism kbacs 0 days Halfife 

Aerobic Soil Metabolism asm 36.4 days Halfife 

Hydrolysis pH 7 0 days Half-life 

Method: CAM 

lncorporati Depth: DEPl 

on 

Applicatio Rate: TAPP 

n 

Applicatio Efficiency: APPEFF 

n 

Spray Drift DRFT 

Applicatio Date Date 

n 

Record 17:OO FILTRA 

IPSCND 

UPTKF 

Record 18:OO PLVKRT 

PLDKRT 

FEXTRC 

Flag for Index 

Flag for runoff 

2 integer See PRZM manual 

0 cm 

0.07 kglha 

0.95 fraction 

0.16 fraction of application 

20-05 ddlmm or ddlmmm 

0.5 

Res. Run IR IR 

calc. RUNOFF total none, 

Ground Application 

stored as PnxwtRDr.out 

Chemical: pinoxaden 

PRZM environment: NDwheatC.txt modified Satday, 12 October 

EXAMS environment: ir298.exv modified Thuday, 29 August 

Metfile: w14914.dvf modified Wedday, 3 July 2002 

Water segment concentrations (ppb) 
Year Peak 96 hr 

1961 0.1635 

1962 I .24 

1963 I .058 

1964 0.6087 

1965 0.41 02 

1966 0.3707 

1967 0.4362 

1968 0.441 1 

1969 0.6396 

1970 0.4813 

1971 0.823 

1972 0.5146 

1973 0.4148 

1974 0.849 

1975 0.71 34 

1976 0.4285 

1977 0.365 

1978 0.3991 

1979 0.3551 

1980 0.2979 

1981 1.978 

1982 1.002 

1983 0.4646 

1984 0.476 

1985 0.931 

1986 0.5508 

1987 0.5778 

1988 0.3727 

1989 . 0.3958 

1990 0.6703 

21 Day 60 Day 90 Day Yearly 

0.1623 0.1578 0.1509 0.1503 0.08083 

1.232 1.2 1.128 1.077 0.577 

1.051 1.032 0.9716 0.9268 0.67 

0.6048 0.5884 0.5522 0.538 0.4573 

0.4076 0.4033 0.3852 0.3692 0.2958 

0.3683 0.3628 0.3477 0.3334 0.24 

0.4335 0.422 0.3968 0.3787 0.2586 

0.4385 0.4272 0.4034 0.3854 0.2736 

0.6364 0.6208 0.5896 0.5646 0.3629 

0.4783 0.4673 0.4432 0.4252 0.3272 

0.8179 0.7978 0.751 0.717 0.4449 

0.51 14 0.498 0.4688 0.4499 0.3633 

0.4122 0.4015 0.3794 0.3631 0.2694 

0.8438 0.8237 0.7754 0.7405 0.4451 

0.7089 0.6907 0.6484 0.6187 0.4574 

0.4259 0.4148 0.3901 0.3721 0.3138 

0.3627 0.3529 0.3331 0.321 1 0.2343 

0.3965 0.3858 0.3625 0.3459 0.2425 

0.3528 0.3468 0.3278 0.3201 0.2386 

0.2961 0.2888 0.2755 0.2636 0.1 982 

1.965 1.918 1.808 1.725 0.9238 

0.9962 0.973 0.9223 0.8858 0.7035 

0.461 9 0.4502 0.427 0.4095 0.3505 

0.473 0.461 0.4335 0.4137 0.2905 

0.9251 0.9035 0.8527 0.815 0.4931 

0.5473 0.5326 0.5082 0.4962 0.4151 

0.5742 0.5586 0.5276 0.505 0.3548 

0.3703 0.3609 0.3449 0.3305 0.2646 

0.3934 0.383 0.3609 0.3451 0.2407 

0.6659 0.648 0.6094 0.5812 0.3602 

Sorted results 

Prob. Peak 

0.032258 1.978 

0.064516 1.24 

0.096774 1.058 

0.129032 1.002 

0.16129 0.931 

0.193548 0.849 

0.225806 0.823 

0.258065 0.7134 

0.290323 0.6703 

0.322581 0.6396 

0.354839 0.6087 

0.387097 0.5778 

0.41 9355 0.5508 

0.451613 0.5146 

0.483871 0.4813 

0.516129 0.476 

0.548387 0.4646 

0.580645 0.441 1 

21 Day 

1.918 

1.2 

1.032 

0.973 

0.9035 

0.8237 

0.7978 

0.6907 

0.648 

0.6208 

0.5884 

0.5586 

0.5326 

0.498 

0.4673 

0.461 

0.4502 

0.4272 

60 Day 

1.808 

1.128 

0.9716 

0.9223 

0.8527 

0.7754 

0.751 

0.6484 

0.6094 

0.5896 

0.5522 

0.5276 

0.5082 

0.4688 

0.4432 

0.4335 

0.427 

0.4034 

90 Day 

1.725 

1.077 

0.9268 

0.8858 

0.815 

0.7405 

0.717 

0.61 87 

0.5812 

0.5646 

0.538 

0.505 

0.4962 

0.4499 

0.4252 

0.41 37 

0.4095 

0.3854 

Yearly 

0.9238 

0.7035 

0.67 

0.577 

0.4931 

0.4574 

0.4573 

0.4451 

0.4449 

0.4151 

0.3633 

0.3629 

0.3602 

0.3548 

0.3505 

0.3272 

0.3138 

0.2958 
0.1 1.0524 I .04552 1.0261 0.96667 0.9227 0.6607 

Average of yearly averages: 0.371 584 

Inputs generated by pe4.pl - 8-Aug-03 

Data used for this run: 

Output File: PnxwtRDr 

Metfile: w14914.dvf 

PRZM scenario: NDwheatC.txt 

EXAMS environment file: ir298.exv 

Chemical Name: pinoxaden 

Descriptio Variable Name Value Units Comment 

n s 

Molecular weight mwt 400.51 glmol 

Henry's Law Const. henry 4.27E-13 atm-mA3/mol 

Vapor Pressure vapr 3.90E-10 torr 

Solubility sol 3800 mg1L 

Kd Kd 0.16 mg1L 

Koc Koc mglL 

Photolysis half-life kdp 0 days Half-life 

Aerobic Aquatic Metabolism kbacw 937 days Halfife 

Anaerobic Aquatic Metabolism kbacs 0 days Halfife 

Aerobic Soil Metabolism asm 36.4 days Halfife 

Hydrolysis pH 7 0 days Half-life 

Method: CAM 

lncorporati Depth: DEPl 

on 

Applicatio Rate: TAPP 

n 

Applicatio Efficiency: APPEFF 

n 

Spray Drift DRFT 

Applicatio Date Date 

n 

Record 17:OO FILTRA 

IPSCND 

U PTKF 

Record 18:OO PLVKRT 

PLDKRT 

FEXTRC 

2 integer See 

0 cm 

0.07 kglha 

0.99 fraction 

0.064 fraction 

20-05 ddlmm 

PRZM manual 

of application 

or ddlmmm 
~ 1 

D Flag for 

Flag for 

l ndex 

runoff 

Res. Run 1 R E! 

calc. RUNOFF total none, 

SCIGRQW VERSION 2.3 

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 

chemica1:pinoxaden 

time is 2/ 7/2005 9:46:59 

Application Number of Total Use KO c Soil Aerobic 

rate (lb/acre) applications (lb/acre/yr) (ml/g) metabolism (days) ........................................................................ 0.062 1.0 0.062 4.20E+00 29.4 ........................................................................ 

groundwater screening cond (ppb) = 1.33E-01 ........................................................................