30 Years of Exposure Modeling

In 30th anniversary, all blog, Modeling by admin

A look back at 30 years of Exposure Modeling

May 26, 2023 | 30th anniversary |

From PIRANHA through to PWC 2.001, the U.S. Environmental Protection Agency’s approach to exposure modeling for pesticide registration has changed greatly since Waterborne opened its doors 30 years ago. Below we take a look at exposure modeling’s evolution: 

Figure 1 shows a timeline of exposure models for ecological and drinking water risk assessments.

Figure 1. Key Events in EPA’s Aquatic Exposure Assessment

This case study will use a hypothetical pesticide used on corn to demonstrate how the estimated environmental concentrations (EECs) have changed over time with new models and scenarios. The location of surface water corn scenarios are shown in Figure 2. In the figure, the gold diamond are the ecological and drinking water scenarios that were used in the PE5, SWCC, PWC1.52, and PWC2 models. The blue, green and red markers show the location of the PWC2 drinking water scenarios that are now used for ecological scenarios. The inputs for environmental fate are shown in Table 1 and the pesticide application information is in Table 2.

Table 1. Model Inputs – Environmental Fate

Parameter

Value

Unit

 Organic carbon normalized soil adsorption coefficient (Koc)

10, 1000, 10000

L/kg

Aerobic aquatic metabolism half-life

180

day

Anaerobic aquatic metabolism half-life

180

day

Aqueous photolysis half-life

stable

day

Hydrolysis half-life

stable

day

Aerobic soil metabolism half-life

180

day

Foliar half-life

stable

day

Molecular weight

320

g/mol

Vapor pressure

1.00E-12

torr

Water solubility

70

mg/L

Table 2. Model Inputs – Pesticide Application

Parameter

Value

Unit

Application Method

Granular

Efficiency

1.0

fraction

Drift

0.0

fraction

Application Rate

0.1

kg/ha

# of Applications

6

Application Interval

10

day

Application Start Date

-7 relative to emergence

Figure 2. Location of Surface Water Scenarios

Figure 3 displays how the acute EECs have changed over time with different models and changes in scenarios. The most recent (2023) ecological scenarios are HUC based so the EECs are compared to the crop scenario that are associated with that HUC. For example, the IACornSTD scenario is in HUC7 so the EECs are compared to the 2023 Corn-r07 scenario. Note that GENEEC, PRZM2, PE5, SWCC models are displaying peak EECs which were used for the acute risk assessment at that time. Starting with PWC1.52 and going forward, EPA changed to using the 1-day EEC for risk assessments.  It can be seen from Figure 3 that PRZM 2 had the highest acute EECs and GENEEC consistently had higher EECs especially for low and moderate Kocs. For the PE5, SWCC, and PWC1.52, and PWC2.001 models, the highest maximum acute EECs resulted from the STX and TX corn scenario across all Kocs. For PWC 2.001 2023, the MS corn had the highest 1-day EEC for Kocs of 10 and 1000 mL/g. The NE corn and KS corn scenarios had the highest 1-day EECs for the 10000 mL/g Koc. Actually, the highest EEC was 1.29 ppb which was associated with HUC 3W. A comparison was also made with the chronic 60-day EECs and it had a similar trend. Table 3 shows the maximum 90th percentile EECs across all corn scenarios for each model. Comparing the 1-day EECs from the PWC2.001 corn scenarios to the new HUC scenarios (PWC2.0012023) shows a 58% reduction for the 10 mL/g Koc and 38% for the 10000 mL/g Koc.  The 60-day EECs were reduced 49% to 57% across the Koc values.

Figure 3.Surface Water Acute 90th Percentile EECs


Table 3. Maximum EECs per Koc

Koc value
10 mL/g 1000 mL/g 10000 mL/g
 Model Peak or 1-day 90th Percentile EEC (ppb)
GENEEC (peak) 26.64 10.15 2.54
PRZM2 (peak) 68.95 67.46 41.14
PE5 (peak) 18.48 10.77 4.22
SWCC (peak) 13.1 9.55 4.15
PWC 1.52 (1-d) 13.1 9.43 3.75
PWC 2.001 (1-d) 13.07 9.17 2.09
PWC2.0012023 (1-d) 5.48 4.13 1.29
60-day 90th Percentile EEC (ppb)
GENEEC 25.01 8.79 1.35
PE5 16.49 8.33 1.61
SWCC 11.4 6.67 1.24
PWC 1.52 11.4 6.67 1.24
PWC 2.001 11.38 6.25 0.97
PWC2.0012023 4.93 3.2 0.44