Uncertainty quantification of environmental performance metrics in heterogeneous aquifers with long-range correlations

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• 作者：Mahsa Moslehi ; ^{moslehi@usc.edu} ; Felipe P.J. de Barros ^{fbarros@usc.edu}
• 关键词：Flow and transport ; Probabilistic risk analysis ; Long-range correlation ; Uncertainty quantification ; Stochastic hydrogeology ; Heterogeneity
• 刊名：Journal of Contaminant Hydrology
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：196
• 期：Complete
• 页码：21-29
• 全文大小：1153 K
• 卷排序：196

文摘

Quantified the uncertainty of environmental performance metrics (EPMs) for K-fields with long range correlation. Identified the probability distribution function that best represents the statistics of the EPMs. Investigated the impact of persistence/anti-persistence correlation of K on the EPMs relevant to risk analysis. Long range correlations in the K-field have a strong impact on the uncertainty estimates of EPMs.