Watershed Regressions for Pesticides (WARP) Models for Predicting Stream Concentrations of Multiple Pesticides

Watershed Regressions for Pesticides (WARP) Models for Predicting Stream Concentrations of Multiple Pesticides

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Author: Chris Swann

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Last Updated: 31-05-2019 14:59

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Stone et al._2013_Watershed_Regressions_for_Pesticides_WARP_Models_for_Predicting_Stream_Concentrations_of_Multiple_Pesticides.pdf

Stone, W. W., Crawford, C. G., Gilliom, R. J. 2013. Watershed Regressions for Pesticides (WARP) Models for Predicting Stream Concentrations of Multiple Pesticides: Journal of Environmental Quality. American Society of Agronomy, Crop Science Society of America, & Soil Science Society of America, Madison, WI. Volume 42, Pages 1838-1851

Model, Pesticides, Streams, Water quality

Watershed Regressions for Pesticides (WARP) are a group of statistical models developed to predict the concentrations of pesticides in unmonitored streams. While the WARP models are most accurate for pesticides comparable to atrazine, it can be used for many other pesticides as well. However, the models may overpredict concentrations when used for pesticides dissimilar to atrazine. This study used the models to understand the behavior of 112 different pesticides in streams across the United States.

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