GSTDTAP  > 资源环境科学
DOI10.1029/2020WR027867
Characterizing the influence of multiple uncertainties on predictions of contaminant discharge in groundwater within a Lagrangian stochastic formulation
Valentina Ciriello; Felipe P. J. de Barros
2020-09-25
发表期刊Water Resources Research
出版年2020
英文摘要

Assessing the risks associated with transport of contaminants in hydrogeological systems requires the characterization of multiple sources of uncertainty. This paper examines the impact of the uncertainty in the source zone mass release rate, aquifer recharge and the spatial structure of the hydraulic conductivity on transport predictions. Through the use of the Lagrangian framework, we develop semi‐analytical solutions for the first two moments of the total solute discharge through a control plane while accounting for source zone release conditions and recharge. We employ global sensitivity analysis (GSA) to investigate how the predictive uncertainty of the mass discharge is affected by uncertainty in source zone mass release rate, recharge and the variance of the log‐conductivity field. The semi‐analytical solutions are employed with the polynomial chaos expansion technique to perform a GSA. Our results reveal the relative influence of each source of uncertainty on the robustness of model predictions, which is critical for site managers to allocate resources and design mitigation strategies.

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文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/296387
专题资源环境科学
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Valentina Ciriello,Felipe P. J. de Barros. Characterizing the influence of multiple uncertainties on predictions of contaminant discharge in groundwater within a Lagrangian stochastic formulation[J]. Water Resources Research,2020.
APA Valentina Ciriello,&Felipe P. J. de Barros.(2020).Characterizing the influence of multiple uncertainties on predictions of contaminant discharge in groundwater within a Lagrangian stochastic formulation.Water Resources Research.
MLA Valentina Ciriello,et al."Characterizing the influence of multiple uncertainties on predictions of contaminant discharge in groundwater within a Lagrangian stochastic formulation".Water Resources Research (2020).
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