Entry of pesticides into the atmosphere can occur by several processes including spray drift and volatilization. Over the past few decades, California Department of Pesticide Regulation (CDPR) has conducted statewide air monitoring network studies for multiple pesticides. CDPR has also implemented pesticide use reporting (PUR) programs that require full reporting of agricultural pesticide use since 1989. It is important to evaluate source-receptor relationship between the CDPR monitoring data and the pesticide use inventory. Potential source contribution function (PSCF) analysis using back-trajectory end points has been widely used to identify geographical source locations contributing to monitoring sites. Geospatial neighborhood function analysis can be applied to examine the spatio-temporal correlation between monitoring data and pesticide use data. In this study, the PSCF model and geospatial neighborhood analyses were employed to identify possible source areas for a selected number of pesticides. The PSCF results were compared with the PUR data for model validation.

Identification of source-receptor relationship using pesticide ambient air measurements and pesticide use reporting data in California

248th National Meeting (2014)

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