LAPSE:2023.2442
Published Article
LAPSE:2023.2442
Estimation Parameters of Soil Solute Transport Processes by Using the Electric Resistivity Method
Debao Lu, Yinfeng Xia, Nan Geng, Hui Wang, Jinlin Qian, Cundong Xu
February 21, 2023
Abstract
Preferential solute transport is a common phenomenon in soil, and it is of great significance to accurately describe the mechanism of pollutant transport and water and soil environmental governance. However, the description of preferential solutes still relies on applying solute breakthrough curves for model parameters fitting. At present, most of the solute breakthrough curves are obtained indoors, and with some limitations. Therefore, this study established a method for securing solute breakthrough curves based on the electrical resistivity method. The research results show that the change in soil concentration during the tracer infiltration process can be captured by establishing the fitting relationship between soil resistivity and solute concentration. Then the solute breakthrough curve can be found. Through a time moment analysis, the difference between the breakthrough curve parameters obtained by the traditional method and the resistivity method is slight; the average error is less than 10%. On this basis, the sensitive response of the parameters of the “mobile−immobile” model to concentration was elucidated through different concentration tracer experiments, among which β and D are more sensitive, and w is less sensitive. The suitable tracer concentration range should be 50−120 mg/L. Therefore, the established method could obtain the breakthrough curves and describe the transport of preferential solutes at the field scale.
Keywords
breakthrough curves, ERT, MIM, preferential solute transport
Suggested Citation
Lu D, Xia Y, Geng N, Wang H, Qian J, Xu C. Estimation Parameters of Soil Solute Transport Processes by Using the Electric Resistivity Method. (2023). LAPSE:2023.2442
Author Affiliations
Lu D: School of Water Conservancy & Environment Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China; Key Laboratory for Technology in Rural Water Management of Zhejiang Province, Hangzhou 310018, China [ORCID]
Xia Y: School of Water Conservancy & Environment Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China [ORCID]
Geng N: School of Water Conservancy & Environment Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China
Wang H: School of Water Conservancy & Environment Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China
Qian J: School of Water Conservancy & Environment Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China
Xu C: School of Water Conservancy & Environment Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China; Key Laboratory for Technology in Rural Water Management of Zhejiang Province, Hangzhou 310018, China
Journal Name
Processes
Volume
10
Issue
5
First Page
975
Year
2022
Publication Date
2022-05-13
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr10050975, Publication Type: Journal Article
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LAPSE:2023.2442
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https://doi.org/10.3390/pr10050975
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Feb 21, 2023
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