Metamodel for Groundwater Leaching Assessment in Europe

Under Regulation (EC) 1107/2009, FOCUS leaching models forecast the concentration of plant protection product (PPP) active substances in groundwater, known as the predicted environmental concentration (PECGW), based on parameters like DT50, KOC, and application rate. This study used simulated PECGW from PEARL and PELMO for training with over 870 combinations of KOC and DT50 across 174 different crop-location-software scenarios. Generalized additive models (GAMs) were trained on these simulations, achieving 96–99% accuracy for in-sample and out-of-sample validation, comparing the predicted environmental concentration in GAM (PECGAM) with the simulated PECGW relative to the 0.1 μg/L regulatory limit. Our GAM approach offers rapid PEC calculations for numerous substances across 174 scenarios, significantly accelerating early-stage molecule development analogue selection.

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Publication Details

Journal
Journal of Agricultural and Food Chemistry
Published
2024-09-23
DOI
https://doi.org/10.1021/acs.jafc.4c03813
Citations
3
Primary Topic
Pesticide and Herbicide Environmental Studies
Type
article
Field-Weighted Citation Impact
0.40

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article

Metamodel for Groundwater Leaching Assessment in Europe

Andrew Eatherall, Jiaqi Xu, Yang Li, Sam Freedlander
3 citations
Journal of Agricultural and Food Chemistry
Pesticide and Herbicide Environmental Studies
0.40
article

Metamodel for Groundwater Leaching Assessment in Europe

Andrew Eatherall, Jiaqi Xu, Yang Li, Sam Freedlander
article en
3 citations

Abstract

Under Regulation (EC) 1107/2009, FOCUS leaching models forecast the concentration of plant protection product (PPP) active substances in groundwater, known as the predicted environmental concentration (PECGW), based on parameters like DT50, KOC, and application rate. This study used simulated PECGW from PEARL and PELMO for training with over 870 combinations of KOC and DT50 across 174 different crop-location-software scenarios. Generalized additive models (GAMs) were trained on these simulations, achieving 96–99% accuracy for in-sample and out-of-sample validation, comparing the predicted environmental concentration in GAM (PECGAM) with the simulated PECGW relative to the 0.1 μg/L regulatory limit. Our GAM approach offers rapid PEC calculations for numerous substances across 174 scenarios, significantly accelerating early-stage molecule development analogue selection.

Journal of Agricultural and Food ChemistryVol. 72(39)
Newberry College (US), Corteva (United States) (US)
Corteva Agriscience
Openalex Percentile: Top 47%
Pesticide and Herbicide Environmental Studies
0.40
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