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Source identification in river pollution problems: A geostatistical approach

机译:河流污染问题中的源识别:地统计学方法

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The geostatistical method, formulated in the groundwater field, has been applied to identify contaminant sources in river pollution problems. The problem consists of recovering a contaminant source at a known location from a finite number of concentration measurements. It is an ill-posed problem, whose solution is nonunique and cannot be determined through standard techniques. The presence of dead zones has been considered because of their relevant influence on transport processes. The possibility of linear decay reactions in the main stream and in the dead zones has also been included. Applications to field data show that the method is efficient in recovering the release history of an arbitrarily distributed source as well as multiple independent point sources, given a finite number of observed concentrations at one or several downstream points. The influence of the degree of dispersion on the observations is stressed. Finally, the effects of measurement errors and of the number of measurement points have been investigated.
机译:在地下水田中制定的地统计方法已被用于识别河流污染问题中的污染源。问题在于从有限数量的浓度测量中在已知位置回收污染物源。这是一个不适定的问题,其解决方案不唯一,无法通过标准技术确定。已经考虑到死区的存在,因为它们对运输过程具有相关影响。主流和死区中线性衰减反应的可能性也已包括在内。现场数据的应用表明,在一个或几个下游点观察到一定数量的浓度的情况下,该方法可有效地恢复任意分布源以及多个独立点源的释放历史。强调分散程度对观测值的影响。最后,研究了测量误差和测量点数量的影响。

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