An index of watershed susceptibility to surface water contamination by herb
icides could be used to improve source water assessments for public drinkin
g water supplies, prioritize watershed restoration projects, and direct fun
ding and educational efforts to areas where the greatest environmental bene
fit can be realized. The goal of this study is to use streamflow and herbic
ide concentration data to develop and evaluate a method for estimating comp
arative watershed susceptibility to herbicide loss. United States Geologica
l Survey (USGS) concentration data for five relatively water soluble herbic
ides (alachlor, atrazine, cyanazine, metolachlor, and simazine) were analyz
ed for 16 Indiana watersheds. Correlation was assessed between observed her
bicide losses and: (1) a herbicide runoff index using GIS-based land use, s
oil type, SCS runoff curve number, tillage practice, herbicide use estimate
s, and combinations of these factors; and (2) predicted herbicide losses fr
om a non-point source pollution model (NAPRA-Web, an Internet-based interfa
ce for GLEAMS). The highest adjusted R-2 value was found between herbicide
concentration and the runoff curve number alone, ranging from 0.25 to 0.56.
Predictions from the simulation model showed a poorer correlation with obs
erved herbicide loss. This indicates potential for using the runoff curve n
umber as a simple herbicide contamination susceptibility index.