Researchers developed two simple models to estimate pesticide runoff in surface water. One model only needs soil erosion data, while the other also considers runoff volume during pesticide application. These models can predict 71-96% of pesticide runoff variations. They provided data for 49 pesticides and 27 locations in the eastern and central U.S. The study showed that long-term simulations can help create loading functions for various chemicals and locations, with up to 95% accuracy in predicting pesticide runoff.