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首页> 外文期刊>Journal of Hydrology >Aquifer vulnerability to pesticide pollution-combining soil, land-use and aquifer properties with molecular descriptors
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Aquifer vulnerability to pesticide pollution-combining soil, land-use and aquifer properties with molecular descriptors

机译:含水层对农药污染的脆弱性,结合土壤,土地利用和含水层特性以及分子描述

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This study uses an extensive survey of herbicides in groundwater across the midwest United States to predict occurrences of a range of compounds across the region from a combination of their molecular properties and the properties of the catchment of a borehole. The study covers 100 boreholes and eight pesticides. For each of the boreholes its catchment the soil, land-use and aquifer properties were characterized. Discriminating boreholes where pollution occurred from those where no pollution occur-red gave a model that was 74% correct with organic carbon content, percentage sand content and depth to the water table being significant properties of the borehole catchment. Molecular topological descriptors as well as K-oc, solubility and half-life were used to characterize each compound included in the study. Inclusion of molecular properties makes it possible to discriminate between occurrence and non-occurrence of each compound in each well. The best-fit model combines: organic carbon content, percentage sand content and depth to the water table with molecular descriptors representing molecular size, molecular branching and functional group composition of the herbicides. (C) 2004 Elsevier B.V. All rights reserved.
机译:这项研究对美国中西部地区的地下水中的除草剂进行了广泛的调查,以结合其分子特性和井眼汇水特性预测该地区一系列化合物的出现。该研究涵盖了100个钻孔和8种农药。对于每个钻孔的集水区,都对土壤,土地利用和含水层特性进行了表征。区分发生污染的井眼和未发生污染的井眼-红色给出的模型正确率为74%,有机碳含量,含沙量百分比和地下水位深度是该井汇水区的重要特征。使用分子拓扑描述符以及K-oc,溶解度和半衰期来表征研究中包括的每种化合物。包含分子特性使得可以区分每个孔中每种化合物的存在与否。最佳拟合模型将有机碳含量,沙含量百分比和到地下水位的深度与代表除草剂的分子大小,分子分支和官能团组成的分子描述结合起来。 (C)2004 Elsevier B.V.保留所有权利。

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