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Optimal design of sampling time using hydraulic tomography to characterize the heterogeneous aquifer hydraulic conductivity and storage coefficient

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Authors:Wang Wenmei; Sun Ronglin
Author Affiliations:Primary:
Hainan Hydrographic Geology and Engineering Geological Prospecting Institute, Haikou, China
China University of Geosciences, China
Volume Title:Dizhi Keji Qingbao Geological Science and Technology Information
Source:Dizhi Keji Qingbao = Geological Science and Technology Information, 34(3), p.165-170. Publisher: China University of Geosciences, Wuhan, China. ISSN: 1000-7849
Publication Date:2015
Note:In Chinese with English summary. 31 refs.; illus., incl. 3 tables
Summary:Hydraulic tomography (HT) is a new pumping test technology that can characterize aquifer heterogeneity with a higher degree of accuracy. HT can identify the spatial distribution of the hydraulic parameters through a series of pumping tests to collect data on the water level at different locations and depths. However, the accuracy of the estimated hydraulic conductivity (K) and storage coefficient (S) is different when using different sampling times to estimate K and S because the corresponding cross-correlation between K and S at the head are different. In this paper, we study the effect of sampling time on the inverse identification of heterogeneous K and S using numerical pumping tests in a two-dimensional confined aquifer. The analysis results show that with increased pumping time, the estimation of K is improved. The accuracy of the estimated K cannot be improved when the pumping time above a certain extent in a numerical pumping test. If the K field is known when the sampling times are earlier than t0 (when the straight line portion of the plot is extrapolated to the point where the drawdown is zero according Cooper-Jacob's approach), the accuracy of estimated S is improved with increased sampling times in the pumping test. If the sampling times are later than t0, the accuracy of estimated S became worse with increasing sampling times.
Subjects:Aquifers; Ground water; Heterogeneous materials; Hydraulic conductivity; Infiltration; Numerical models; Optimization; Pump tests; Sampling; Simulation; Tomography; Water storage
Record ID:790121-23
Copyright Information:GeoRef, Copyright 2019 American Geosciences Institute.
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