Record Display for the EPA National Library Catalog


Main Title GIS-Based Risk Assessment of Pesticide Drift Case Study: Fresno, County, California.
Author Lee, E. H. ; Burdick, C. A. ; Olszyk, D. M. ;
CORP Author National Health and Environmental Effects Research Lab., Corvallis, OR. Western Ecology Div.;Environmental Protection Agency, Washington, DC. Office of Pesticide Programs.
Publisher Mar 2005
Year Published 2005
Report Number EPA/600/R-05/029;
Stock Number PB2007-107907
Additional Subjects Pesticides ; Risk assessment ; Geographic information systems ; Spraying ; Drift ; Agricultral products ; Farm crops ; Spatial resolution ; Pest control ; Exposure ; Application methods ; Evaluation ; Databases ; California ; Case study ; Fresno County(California)
Library Call Number Additional Info Location Last
NTIS  PB2007-107907 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 169p
A deterministic GIS-based risk assessment model was developed to evaluate the ecological risk of pesticide spray drift on nontarget fields of sensitive crops based on pesticide use reporting data at the section level. USEPA defines pesticide spray drift as the wind-driven movement of pesticide particles in the air to unintended sites at the time of application. In order for a pesticide application to cause damage to nontarget crops growing in fields adjacent to the target field, the pesticide must be applied at the time of increased plant sensitivity. Consequently, the study of possible spray drift effects on sensitive crops is data-intensive and requires spatially- and temporally-explicit information on pesticide applications in agricultural production. Very few states with the exception of California have full pesticide use reporting databases at sufficient temporal and spatial resolution to infer the effects of pesticide spray drift on nontarget crops with any degree of accuracy and precision. In this report, the California Pesticide Use Reporting database for Fresno County in 2000 was analyzed using a deterministic GIS-based risk assessment model to quantify the potential crop acreage at risk due to unintended pesticide exposure from spray drift.