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- W2009771615 abstract "Abstract This effort focused upon the development of an expert system capable of determining the probabilities of pesticide leaching. Two levels of analysis are available to the user. The first accesses cumulative density functions describing pesticide leaching prepared in the related effort described in a parallel article in this issue, while the second allows the user to configure a Monte Carlo simulation for a specific site of interest. The first option is recommended as a screening tool useful in defining general probabilities as the results represent interpolations from a regional data base. The second option is for more specific analyses and applies the U.S. Environmental Protection Agency's (EPA) pesticide Root Zone Model (PRZM) within the expert system. Detailed directions for the selection of site-specific parameters required by the EPA code are given by the expert system. Base maps, tables and figures are provided together with detailed discussions of the input values requested. The expert system prepares input data files for the PRZM code, randomizes annual meteorological data, completes and subsequently pools individual simulations into cumulative density functions for the determination of the probabilities of pesticide leaching. Additionally, the expert system plots the running mean and standard deviation of these individual simulations to identify the adequacy of the sample base. The expert system allows individuals with minimal computer skills access to the EPA code as well as to probabilistic simulations." @default.
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- W2009771615 title "An expert system to determine the probability of pesticide leaching" @default.
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- W2009771615 doi "https://doi.org/10.1016/0378-3774(94)90053-1" @default.
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