A simulation procedure for groundwater quality assessments of pesticides |
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| Institution: | 1. KWR Watercycle Research Institute, P.O. Box 1072, 3430 BB Nieuwegein, The Netherlands;2. Section Sanitary Engineering, Department of Water Management, Faculty of Civil Engineering and Geosciences, Delft University of Technology, P.O. Box 5048, 2600 GA Delft, The Netherlands;3. Department of Microbiology, Faculty of Biology, University of Barcelona, Av. Diagonal 643, Barcelona 08028, Spain;4. Computational Genomics Laboratory, Department of Genetics, Institute of Biomedicine, University of Barcelona, Av. Diagonal 643, Barcelona 08028, Spain;1. Institute for Environmental Research, RWTH Aachen University, Aachen, Germany;2. Faculty of Architecture and Urban Planning, Chongqing University, Chongqing, PR China;3. Institute of Applied Geosciences, Karlsruhe Institute of Technology, Karlsruhe, Germany;4. College of Resources and Environmental Science, Chongqing University, Chongqing, PR China;5. State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, PR China;6. Key Laboratory of Yangtze Water Environment, Ministry of Education, Tongji University, Shanghai, PR China |
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| Abstract: | A procedure is described for making regional assessments of pesticide residue loadings and movement in groundwater underneath and downgradient from treated fields. A Monte-Carlo numerical simulation technique is used to generate model parameters for both the unsaturated and saturated zones. Simulations are performed using the Pesticide Root Zone Model linked to a simple groundwater solute transport model.The procedure is useful for evaluating the potential for producing pesticide residues in drinking water wells before actual field applications are made. Appropriate land management options, including restrictions on pesticide application, also can be developed using this procedure.The procedure was used to assess aldicarb levels in northeastern North Carolina groundwater resulting from application of the pesticide to peanuts. Probability density functions for selected soil characteristics were developed using a direct-access soils information data base. Probability density functions for selected groundwater characteristics were developed from available data for the study area. Simulation results indicated that mass fluxes to groundwater exceeded 0.01 and 0.1 kg ha−1 approximately 6.9 and 1.0 percent of the time, respectively. No fluxes exceeded 0.1 kg ha−1 at a distance of 60 m downgradient in any of the cases evaluated. |
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