https://scholars.lib.ntu.edu.tw/handle/123456789/614740
標題: | Potential of Hydraulic Tomography in Identifying Boundary Conditions of Groundwater Basins | 作者: | Liu F. Yeh T.-C.J. YU-LI WANG Song X. Lei X. Wen J.-C. Wang W. Hao Y. |
關鍵字: | Boundary conditions; Groundwater; Surveys; Tomography; Groundwater exploitation; Groundwater monitoring; Groundwater overexploitation; Hydraulic tomographies; Impermeable boundary; Low permeability zone; Numerical experiments; Steady state and transients; Groundwater resources; boundary condition; exploitation; groundwater resource; heterogeneity; hydraulic conductivity; monitoring system; permeability; tomography; China; North China Plain | 公開日期: | 2020 | 出版社: | Blackwell Publishing Ltd | 卷: | 56 | 期: | 12 | 來源出版物: | Water Resources Research | 摘要: | This study investigates the potential of hydraulic tomography (HT) in identifying the boundary conditions of groundwater basins using numerical experiments. The experiment mimics the scenario of groundwater exploitation reduction in a pilot area of groundwater overexploitation control in the North China Plain. In this study, we propose an approach that integrates the HT concept and readily available groundwater monitoring data to identify the constant head and impermeable boundaries by mapping anomalously high- and low-permeability zones from HT surveys in a large-scale domain that encompasses the true groundwater basin. The resulting boundaries and conditions were then used in inversion of steady-state and transient-state simultaneous pumping tests and HT surveys of heterogeneity within the groundwater basin. The inversion results demonstrated significant advantages of HT surveys over multiple simultaneous pumping tests to identify boundary conditions and heterogeneity in the groundwater basin. Moreover, steady HT inversion outperforms transient HT inversion in capturing the true boundary conditions, leading to the better T estimates from steady HT inversion than those from transient HT inversion. Additionally, the study shows that accurate geological zonation information can significantly improve HT parameter estimations. ©2020. American Geophysical Union. All Rights Reserved. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098105357&doi=10.1029%2f2020WR028331&partnerID=40&md5=2e55252187910a3ecd56a7b836ec4eb4 https://scholars.lib.ntu.edu.tw/handle/123456789/614740 |
ISSN: | 00431397 | 其他識別: | WRERA | DOI: | 10.1029/2020WR028331 |
顯示於: | 生物環境系統工程學系 |
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