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Coupling 1D Monte-Carlo simulations and geostatistics to assess groundwater vulnerability to pesticide contamination on a regional scale

机译:耦合一维蒙特卡洛模拟和地统计学,以评估区域范围内地下水对农药污染的脆弱性

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摘要

A method to predict groundwater vulnerability to pesticide contamination on a regional scale has been developed and applied to a part of the upper Rhone river valley in Western Switzerland. Stochastic application of deterministic pesticide leaching models(Monte-Carlo), along with Geostatistical interpolation techniques, were used to map both vulnerability levels and uncertain- Ties. The various tested leaching models(numerical and analytical solutions of the convection-dis- Persion equation, capacitive model)lead to similar outcomes. The results maps show very high Vulnerabilities.
机译:已经开发了一种预测区域范围内地下水对农药污染脆弱性的方法,并将其应用于瑞士西部罗纳河上游流域的一部分。确定性农药浸出模型(Monte-Carlo)的随机应用,以及地统计插值技术,用于绘制脆弱性水平和不确定性关系。各种经过测试的浸出模型(对流扩散方程的数值和解析解,电容模型)得出相似的结果。结果图显示非常高的漏洞。

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