Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019WR025269 |
Minimum Hydraulic Resistance Uncertainty and the Development of a Connectivity-Based Iterative Sampling Strategy | |
Rizzo, Calogero B.; de Barros, Felipe P. J. | |
2019-07-01 | |
发表期刊 | WATER RESOURCES RESEARCH
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ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2019 |
卷号 | 55期号:7页码:5593-5611 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | The presence of well-connected paths is commonly observed in spatially heterogeneous porous formations. Channels consisting of high hydraulic conductivity (K) values strongly affect fate and transport of dissolved species in the subsurface environment. Several studies have established a correlation between connectivity properties of the spatially variable K-field and solute first arrival times. However, due to limited knowledge of the spatial structure of the K-field, connectivity metrics are subject to uncertainty. In this work, we utilize the concept of the minimum hydraulic resistance and least resistance path to evaluate the connectivity of a K-field in a stochastic framework. We employ a fast graph theory-based algorithm to alleviate the computational burden associated with stochastic computations in order to investigate both the impact of the hydrogeological structural conceptualization and domain dimensionality (2-D vs. 3-D) on the uncertainty of the minimum hydraulic resistance. Finally, we propose an iterative data acquisition strategy that can be utilized to identify the least resistance path (which is linked to preferential flow channels) in real sites. A synthetic benchmark test is presented, showing the advantages of the proposed sampling strategy when compared to a regular sampling strategy. By using the iterative data sampling strategy, we were able to reduce first arrival time uncertainty by 47% (when compared to the regular sampling strategy), while maintaining site characterization efforts constant. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000481444700024 |
WOS关键词 | GOOD STATISTICAL-MODELS ; AQUIFER HETEROGENEITY ; SOLUTE TRANSPORT ; FLOW ; RISK ; PATH ; PERMEABILITY ; INDICATORS ; RECOVERY |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/184846 |
专题 | 资源环境科学 |
作者单位 | Univ Southern Calif, Sonny Astani Dept Civil & Environm Engn, Los Angeles, CA 90007 USA |
推荐引用方式 GB/T 7714 | Rizzo, Calogero B.,de Barros, Felipe P. J.. Minimum Hydraulic Resistance Uncertainty and the Development of a Connectivity-Based Iterative Sampling Strategy[J]. WATER RESOURCES RESEARCH,2019,55(7):5593-5611. |
APA | Rizzo, Calogero B.,&de Barros, Felipe P. J..(2019).Minimum Hydraulic Resistance Uncertainty and the Development of a Connectivity-Based Iterative Sampling Strategy.WATER RESOURCES RESEARCH,55(7),5593-5611. |
MLA | Rizzo, Calogero B.,et al."Minimum Hydraulic Resistance Uncertainty and the Development of a Connectivity-Based Iterative Sampling Strategy".WATER RESOURCES RESEARCH 55.7(2019):5593-5611. |
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