Fine Characterization of the Effects of Aquifer Heterogeneity on Solute Transport: A Numerical Sandbox Experiment
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Univ Arizona, Dept Hydrol & Water ResourcesIssue Date
2019-11-01
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Zhang, Y.; Wu, C.; Hu, B.X.; Yeh, T.-C.J.; Hao, Y.; Lv, W. Fine Characterization of the Effects of Aquifer Heterogeneity on Solute Transport: A Numerical Sandbox Experiment. Water 2019, 11, 2295.Journal
WATERRights
Copyright © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).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
Hydraulic conductivity (K) and the specific storage coefficient (S) are among the most important hydrogeological parameters of an aquifer. Traditionally, the hydrogeological parameters of a field aquifer system are mainly determined through a range of experiments that are both time-consuming and of poor operability. To accurately characterize aquifer heterogeneity, a synthetic sandbox is constructed using VSAFT2 (Variably Saturated Flow and Transport utilizing the Modified Method of Characteristics, in 2D) as a reference aquifer system by incorporating multilevel a priori geologic information into the sandbox configuration. The spatial distribution of the field of hydraulic conductivity (i.e., K) is inversely obtained by hydraulic tomography (HT). Then HT is compared with traditional kriging-estimated method in the fine characterization of aquifer heterogeneity, and the optimal K field is eventually selected to predict the solute transport. The influence of the number of pumping cycles on the accuracy of heterogeneity characterization is also discussed. The results show that the accuracy of the inversely obtained K field is improved with the increased number of pumping cycles. When incorporating multilevel a priori geological information, HT can characterize aquifer heterogeneity more finely than traditional kriging, and there is also a very good fitting of solute transport between the optimally estimated K field and the reference K field. Our study highlights the importance of the fine characterization of aquifer heterogeneity for the prediction of solute transport.Note
Open access journalISSN
2073-4441Version
Final published versionSponsors
National Natural Science Foundation of ChinaNational Natural Science Foundation of China [51879108]; Natural Science Foundation of Guangdong Province, ChinaNational Natural Science Foundation of Guangdong Province [2018A030310653]; high-level talent project for the "Pearl River Talent Plan" of Guangdong Province [2017GC010397]; Youth Innovative Talents Project for Guangdong Colleges and Universities [2017KQNCX010]; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [21617301]ae974a485f413a2113503eed53cd6c53
10.3390/w11112295
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Except where otherwise noted, this item's license is described as Copyright © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

