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Abstract
Sensitivity of a Pesticide Leaching-Potential Index Model to Variations in Hydrologic and Pesticide-Transport Properties
Stephanie A. Schlosser1 and John
E McCray1
1 Department of Geology and Geological Engineering,
Hydrogeology Program, Colorado School of Mines, 1500 Illinois St., Golden, CO
80401-1887
Stephanie Schlosser received her B.S. in environmental geology from the University of North Dakota in 1999 and her M.S. in geochemistry from the Colorado School of Mines in 2001. She now works for John C. Halepaska and Assoc., a water-resources consulting group in Littleton, Colorado.
John McCray is an assistant professor in the Department of Geology and Geological Engineering at Colorado School of Mines. He is also a faculty affiliate at the International Ground Water Modeling Center and in the Department of Soil and Crop Science at Colorado State University. He holds a B.S. degree in electrical engineering from West Virginia University, an M.S. in Environmental Engineering from Clemson University, and a Ph.D. in Hydrology from the University of Arizona. His current research includes field, laboratory, and modeling work related to transport and remediation of contaminants in groundwater and vadose-zone systems.
ABSTRACT
In recent years pesticide vulnerability assessments have become increasingly
important due to the increased detections of pesticides in groundwater. It is
common to use simple vulnerability models that rank pesticides based on their
leachability. A model sensitivity study was conducted using the leaching potential
index model to evaluate the relative importance of input-parameter variability
on the model predicted vulnerability. Parameters that were analyzed included organic-carbon
content, depth to groundwater, soil-water velocity, soil bulk density, water content,
organic-carbon partition coefficient, and pesticide degradation half-life. Results
indicate that the calculated vulnerabilities are most sensitive to organic-carbon
content, depth to groundwater, and vertical soil-water velocity. The sensitivity
of the model to organic-carbon partition coefficient and biochemical half-life
depends on the range of values given in the literature. Predicted vulnerabilities
are not sensitive to bulk density and water content. This information should be
useful to planners and regulatory officials who wish to determine the most important
parameters to obtain measurements for when economic resources are limited.
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