Potential of Hydraulic Tomography in Identifying Boundary Conditions of Groundwater Basins
Affiliation
University of ArizonaIssue Date
2020Keywords
boundary conditionsgroundwater exploitation reduction
groundwater model
hydraulic tomography
multiple pumping tests
North China Plain
Metadata
Show full item recordPublisher
Blackwell Publishing LtdCitation
Liu, F., Yeh, T.-C. J., Wang, Y.-L., Song, X., Lei, X., Wen, J.-C., et al. (2020). Potential of hydraulic tomography in identifying boundary conditions of groundwater basins. Water Resources Research, 56, e2020WR028331.Journal
Water Resources ResearchRights
Copyright © 2020 American Geophysical Union. All Rights Reserved.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
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.Note
6 month embargo; first published: 16 November 2020ISSN
0043-1397Version
Final published versionae974a485f413a2113503eed53cd6c53
10.1029/2020WR028331