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DNAPL distribution in the source zone: Effect of soil structure and uncertainty reduction with increased sampling density

机译:源区中的DNAPL分布:土壤结构的影响和不确定性随着采样密度的增加而减少

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This paper focuses on parameters describing the distribution of dense nonaqueous phase liquid (DNAPL) contaminants and investigates the variability of these parameters that results from soil heterogeneity. In addition, it quantifies the uncertainty reduction that can be achieved with increased density of soil sampling. Numerical simulations of DNAPL releases were performed using stochastic realizations of hydraulic conductivity fields generated with the same geostatistical parameters and conditioning data at two sampling densities, thus generating two simulation ensembles of low and high density (three-fold increase) of soil sampling. The results showed that DNAPL plumes in aquifers identical in a statistical sense exhibit qualitatively different patterns, ranging from compact to finger-like. The corresponding quantitative differences were expressed by defining several alternative measures that describe the DNAPL plume and computing these measures for each simulation of the two ensembles. The uncertainty in the plume features under study was affected to different degrees by the variability of the soil, with coefficients of variation ranging from about 20% to 90%, for the low-density sampling. Meanwhile, the increased soil sampling frequency resulted in reductions of uncertainty varying from 7% to 69%, for low- and high-uncertainty variables, respectively. In view of the varying uncertainty in the characteristics of a DNAPL plume, remedial designs that require estimates of the less uncertain features of the plume may be preferred over others that need a more detailed characterization of the source zone architecture.
机译:本文着重于描述稠密非水相液体(DNAPL)污染物分布的参数,并研究由于土壤异质性而导致的这些参数的变异性。此外,它量化了通过增加土壤采样密度可以实现的不确定性降低。使用具有相同地统计参数和条件数据在两个采样密度下生成的水力传导率场的随机实现,对DNAPL释放进行了数值模拟,从而生成了土壤采样的低密度和高密度(增加3倍)的两个模拟集合。结果表明,在统计学意义上相同的含水层中,DNAPL羽呈现出质的不同模式,范围从紧凑到类似手指。通过定义描述DNAPL羽流的几种替代方法并针对两个乐团的每次模拟计算这些度量来表达相应的定量差异。土壤密度的变化对所研究羽状特征的不确定性有不同程度的影响,低密度采样的变化系数范围从大约20%到90%。同时,对于低和高不确定性变量,增加的土壤采样频率导致不确定性的减少范围从7%到69%。考虑到DNAPL羽状特征的不确定性不断变化,需要对羽状不确定性较小的特征进行估计的补救性设计可能比需要对源区域体系结构进行更详细表征的其他设计更为可取。

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