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Global upscaling of hydraulic conductivity for modellingcontaminant transport in groundwater

机译:地下水中型型型型型液压导电性的全球升级

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Mass transport in groundwater is strongly dependent on the small-scale heterogeneity. Upscalingmay cause inaccurate characterization of contaminant plumes. In this paper we do not attempt to accuratelycharacterize a contaminant plume; instead, we are interested in finding a representative hydraulicconductivity at the global scale for specified objectives of model application. Examples of specificobjectives in water quality management include the prediction of arrival time, the estimation of peakconcentration, and the assessment of remediation alternatives. A reliable representative hydraulicconductivity can be obtained by solving a generalized inverse problem when data are sufficient. Thesufficiency of data can be tested by the worst-case-parameter (WCP). Numerical examples show that theWCP for mass transport problems still has a cluster structure, but its shape may become more complex.Generally, constructing an objective-oriented mass transport model requires more data than constructing anobjective-oriented groundwater flow model.
机译:地下水中的大众运输强烈依赖于小规模的异质性。 Upscalingmay导致污染物羽毛的不准确表征。在本文中,我们不需要准确地进行污染羽毛;相反,我们有兴趣在全球范围内寻找代表性的液压导电性以进行模型应用的特定目标。水质管理中的特定目标的实例包括预测到达时间,峰值估计,以及对修复替代方案的评估。通过解决数据足够的广义逆问题,可以获得可靠的代表性液压导电性。可以通过最坏情况参数(WCP)来测试数据的压力功能。数值示例表明,用于质量传输问题的WCP仍然具有簇结构,但其形状可能变得更加复杂.Generally,构建面向客观的质量传输模型需要比构建无花果导向的地下水流量模型更多的数据。

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