HR: 1340h
AN: H33H-1725    [Abstracts]
TI: How does a priori estimated spatial structure of the K field affect hydraulic tomography results?
AU: * Huang, S
EM: syh1019@ntu.edu.tw
AF: Graduate School of Engineering Science and Technology - Doctoral Program,National Yunlin University of Science & Technology, 123, Section 3, University Road, Yunlin, 64002, Taiwan
AU: Wen, J
EM: wenjc@yuntech.edu.tw
AF: Graduate School of Engineering Science and Technology - Doctoral Program,National Yunlin University of Science & Technology, 123, Section 3, University Road, Yunlin, 64002, Taiwan
AU: Yeh, T J
EM: ybiem@mac.hwr.arizona.edu
AF: Department of Hydrology and Water Resources, The University of Arizona, John Harshbarger Building 1133 E. North Campus Drive, Tucson, Arizona, 85721, United States
AB: Hydraulic tomography (HT) has been widely studied for characterizing the heterogeneity of hydraulic parameters in the subsurface. Although previous researches showed very promising results of hydraulic tomography for identifying hydraulic properties, several issues are still wide open. It is still plagued by a reasonable estimate of the hydraulic conductivity (K) distribution. This article aims at exploring how a priori estimated spatial structure of the K field affects the final result, and assessing the insight of HT. Several synthetic examples with the tomography data are obtained by solving numerically the transient flow equation in a know conductivity field. The sequential successive linear estimator (SSLE) approach is applied to interpret data from the transient hydraulic tomography to an estimated unknown K and specific storage (S) fields of aquifers. Through these numerical examples, the paper demonstrates and answers this question. Keywords: hydraulic tomography, inverse problem, sequential successive linear estimator
DE: 1800 HYDROLOGY
DE: 1829 Groundwater hydrology
DE: 1847 Modeling
DE: 1849 Numerical approximations and analysis
SC: Hydrology [H]
MN: 2007 Fall Meeting