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Groundwater Flow Monitoring via Combined Time-lapse Electrical Resistivity and Self Potential Data Tomography
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  • Lige Bai,
  • jing li,
  • Li Guo,
  • Hui Liu,
  • Jiawei Tan,
  • Tianqi Wang
Lige Bai
Jilin University
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jing li
Jilin University
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Li Guo
Pennsylvania State University
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Hui Liu
Jilin University
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Jiawei Tan
Jilin University
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Tianqi Wang
Jilin University
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Abstract

Revealing the dynamics of groundwater movement in the vadose zone is crucial to groundwater management and artificial recharge. The traditional hydrographic surveys are usually indirect, costly, and infrequent. In this study, the groundwater flow characterization of a pumping experiment in Jilin University campus was monitored through combining time-lapse electrical resistivity tomography (ERT) and self-potential (SP) data tomography. The ERT datum depicts the spatial distribution of resistivity, which is related to the dynamics of soil moisture content during the pumping process. We are able to correlate hydraulic heads and SP signal during a decline and recovery groundwater level period leading to interesting perspectives in understanding the dynamics of complex groundwater flow. The SP method provides a direct way to estimate the potential field distribution, which can be further used to invert soil permeability. A total of 24 hours of time-lapse geophysical surveys revealed a significant increase in resistivity but a decrease in permeability during water pumping and groundwater recharge, representing the process of groundwater decline and recovery. Results derived from time-lapse geophysical surveys matched well with in situ monitoring of the groundwater level. The study demonstrates that the combined ERT and SP data can provide a direct and reliable way to monitor groundwater flow or other time-lapse hydrogeological surveys.

Peer review status:UNDER REVIEW

25 May 2020Submitted to Hydrological Processes
26 May 2020Assigned to Editor
26 May 2020Submission Checks Completed
26 May 2020Reviewer(s) Assigned
24 Sep 2020Review(s) Completed, Editorial Evaluation Pending