Practical issues in imaging hydraulic conductivity through hydraulic tomography

Ground Water
Walter A IllmanXiaoyi Liu

Abstract

Hydraulic tomography has been developed as an alternative to traditional geostatistical methods to delineate heterogeneity patterns in parameters such as hydraulic conductivity (K) and specific storage (S(s)). During hydraulic tomography surveys, a large number of hydraulic head data are collected from a series of cross-hole tests in the subsurface. These head data are then used to interpret the spatial distribution of K and S(s) using inverse modeling. Here, we use the Sequential Successive Linear Estimator (SSLE) of Yeh and Liu (2000) to interpret synthetic pumping test data created through numerical simulations and real data generated in a laboratory sandbox aquifer to obtain the K tomograms. Here, we define "K tomogram" as an image of K distribution of the subsurface (or the inverse results) obtained via hydraulic tomography. We examine the influence of signal-to-noise ratio and biases on results using inverse modeling of synthetic and real cross-hole pumping test data. To accomplish this, we first show that the pumping rate, which affects the signal-to-noise ratio, and the order of data included into the SSLE algorithm both have large impacts on the quality of the K tomograms. We then examine the role of conditioning on th...Continue Reading

References

Jul 22, 2006·Ground Water·Walter A Illman, Daniel M Tartakovsky

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Citations

Jun 15, 2011·Ground Water·Matthew AlexanderWalter A Illman
Sep 24, 2010·Ground Water·Geoffrey C Bohling, James J Butler
Sep 3, 2011·Ground Water·Walter A IllmanTian-Chyi Jim Yeh
Feb 11, 2012·Ground Water·Steven J Berg, Walter A Illman
Jan 20, 2021·Ground Water·Sarada PoduriSaisrinivas Gorugantula
Dec 1, 2019·Journal of Contaminant Hydrology·Michelle S ChoWalter A Illman
Jun 24, 2009·Environmental Science & Technology·Chuen-Fa NiJui-Sheng Chent
Aug 30, 2008·Ground Water·James J Butler

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