The need for modeling approaches to estimate potential pesticide concentrations in flowing water bodies has become increasingly important for endangered species assessments. This study compares Soil and Water Assessment Tool (SWAT), a process-based watershed model, with two watershed regression models, namely Watershed Regressions for Pesticides for the Corn-Belt region (WARP-CB) and Surface Water Mobility Index (SWMI). The models were evaluated against stream monitoring data from watersheds in the Corn Belt. Predicted and measured pesticide concentration distributions were compared and performance of the models was evaluated. The watershed scale models were also compared with model predictions by PRZM/EXAMS derived from standard US regulatory guidance for estimating pesticide concentration in edge-of-field water bodies.

Comparison of pesticide concentrations in flowing water bodies predicted by process-based and regression models

248th National Meeting (2014)

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