Research Article

A two-dimensional inverse model to identify transmissivity in an anisotropic aquifer

  1. Shih-Ching Wu1,
  2. Yih-Chi Tan2,*,
  3. Chu-Hui Chen3,
  4. Shien-Tsung Lin1,
  5. Kai-Yuan Ke1

Article first published online: 16 SEP 2008

DOI: 10.1002/hyp.7134

Issue

Hydrological Processes

Hydrological Processes

Volume 22, Issue 26, pages 5086–5096, 30 December 2008

Additional Information

How to Cite

Wu, S.-C., Tan, Y.-C., Chen, C.-H., Lin, S.-T. and Ke, K.-Y. (2008), A two-dimensional inverse model to identify transmissivity in an anisotropic aquifer. Hydrol. Process., 22: 5086–5096. doi: 10.1002/hyp.7134

Author Information

  1. 1

    Department of Bioenvironmental Systems Engineering, Hydrotech Research Institute, National Taiwan University, Taipei 106, Taiwan

  2. 2

    Department of Bioenvironmental Systems Engineering, Hydrotech Research Institute, Disaster Research Center, National Taiwan University, Taipei 106, Taiwan

  3. 3

    College of Planning and Design, China University of Technology, Taipei 106, Taiwan

*Hydrotech Research Institute, Dept. of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, 106, Taiwan.

Publication History

  1. Issue published online: 3 DEC 2008
  2. Article first published online: 16 SEP 2008
  3. Manuscript Accepted: 16 JUL 2008
  4. Manuscript Received: 25 JAN 2007

Funded by

  • National Science Council (NSC)

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Keywords:

  • groundwater;
  • tabu search algorithm;
  • Adjoint State method;
  • anisotropic aquifers;
  • hydrogeologic parameters

Abstract

This study suggested a numerical model using the Tabu search algorithm along with the Adjoint State method to identify the hydrogeological characteristics of an anisotropic groundwater aquifer. The Tabu search algorithm was applied to identify the anisotropic transmissivity components to avoid a local optimum. Then, the Adjoint State method was used to calculate the sensitivity of the parameters in order to increase the efficiency of the optimization. For an anisotropic and homogeneous aquifer, results showed that the optimal procedure presented combining the Tabu search algorithm and the Adjoint State method might successfully identify the values of the transmissivity components. If the duration of the pumping test was long enough (12-h pumping test), the value of the transmissivity components could be optimized with type-curve, straight-line, and Tabu search methods, along with the Adjoint State methods. If the duration of the pumping test was short (0·5-h pumping test), the Tabu search method, along with the Adjoint State method proposed herein, might successfully optimize the transmissivity components. For an anisotropic but heterogeneous aquifer, results showed that the suggested optimal procedure still successfully identified the values of the transmissivity components. Copyright © 2008 John Wiley & Sons, Ltd.

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