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Application of Chaotic Time-Series Optimization Algorithm in Solving the Parameters of Leakage Aquifer

Received: 1 December 2015     Published: 1 December 2015
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Abstract

Applied the chaotic time-series optimization algorithm to solve hydrogeological parameters through analysis the pumping test data of the first type leakage aquifer, then explored the influence of the initial value of aquifer parameters and other factors on the convergence and results of the algorithm. The results shown that: ①chaotic time-series optimization algorithm could be effectively applied to the calculation problem of aquifer parameters; ②the initial value of the coefficient of storage and conductivity don’t have too much obvious effect on the search and results of the algorithm; ③The upper limit of algorithm had no obvious effect on the search ability but reduce the accuracy of results. Compared with other methods, the chaotic optimization method had such advantages as simple in principle of algorithm, easy to make program and to conduct, and the precision of aquifer parameters calculated was not affected by artificial subjective factors.

Published in Earth Sciences (Volume 4, Issue 5)
DOI 10.11648/j.earth.20150405.14
Page(s) 188-192
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Chaotic Time-Series Optimization Algorithm, Leakage System, Leakage Factor

References
[1] GUO Dong-ping, SONG Yan-xun, QIAN Hui. Groundwater dynamics [M]. Xi’an: Shanxi Science and Technique Publishing house, 1994.
[2] WANG Yuan-hui, LIU Hui-yuan,GUO Jian-qing,et al. Estimation of anisotropic aquifer parameters based on chaos particle swarm algorithm[J]. South-to-North Water Transfers and Water Science & Technology, 2015, 13(1): 87-90.
[3] SHI Zhi-yuan, XU Mo. Genetic algorithm inversion of the pumping test data to the hydrogeological parameters [J]. Sichuan Journal of Geology, 2011, 31(4): 466-469, 480.
[4] LUO Jun, LI Yan. Artificial bee colony algorithm with chaotic-search strategy [J]. Control and Decision, 2010, 25(12): 1913-1916.
[5] GUO Jianqing, LI Yan, WANG Hongsheng.et al. Chaotic time-Series optimization algorithm for aquifer parameter estimation [J]. China Rural Water and Hydropower, 2006, (12): 26-29.
[6] Sushil, K Singh. Simple method for confined parameter estimation [J]. Journal of Irrigation and Drainage Engineering, 2000, 126(6): 404 – 407.
[7] HU Xing-hua. Studies of chaotic optimization algorithm and its application [D]. Liaoning Technical University, 2008.
[8] WANG Ling. Intelligent optimization algorithms with application [M]. Bing Jing: Tsinghua University press, 2001: 105-106, 108-110.
[9] CHENG Chong-xi, LIN Min. Groundwater dynamics [M]. Wu Han: China University of Geosciences press, 1999.
[10] YANG Tian-xing, FU Ze-zhou, LIU Jin-shan. et al. The principle and calculation method of unsteady flow of groundwater [M]. Bei Jing: Geological Publishing House, 1980.
[11] ZHANG Juan-juan. Application of intelligent optimization algorithm in inversion of aquifer parameters [D]. Chang'an University. 2006.
[12] R. Srivastava. Implication of using approximation expressions for well function [J]. Journal of Irrigation and Drainage Engineering, 1995, 121(6): 459-462.
[13] Vedat Batu, Ph.D., P.E. Aquifer hydraulics: a comprehensive guide to hydrogeologic data [M]. JOHN WILEY & SONS, INC. 1998: 276-281.
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  • APA Style

    Zhang Xiao-zhou, Lu Yu-dong, Guo Jian-qing. (2015). Application of Chaotic Time-Series Optimization Algorithm in Solving the Parameters of Leakage Aquifer. Earth Sciences, 4(5), 188-192. https://doi.org/10.11648/j.earth.20150405.14

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    ACS Style

    Zhang Xiao-zhou; Lu Yu-dong; Guo Jian-qing. Application of Chaotic Time-Series Optimization Algorithm in Solving the Parameters of Leakage Aquifer. Earth Sci. 2015, 4(5), 188-192. doi: 10.11648/j.earth.20150405.14

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    AMA Style

    Zhang Xiao-zhou, Lu Yu-dong, Guo Jian-qing. Application of Chaotic Time-Series Optimization Algorithm in Solving the Parameters of Leakage Aquifer. Earth Sci. 2015;4(5):188-192. doi: 10.11648/j.earth.20150405.14

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  • @article{10.11648/j.earth.20150405.14,
      author = {Zhang Xiao-zhou and Lu Yu-dong and Guo Jian-qing},
      title = {Application of Chaotic Time-Series Optimization Algorithm in Solving the Parameters of Leakage Aquifer},
      journal = {Earth Sciences},
      volume = {4},
      number = {5},
      pages = {188-192},
      doi = {10.11648/j.earth.20150405.14},
      url = {https://doi.org/10.11648/j.earth.20150405.14},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.earth.20150405.14},
      abstract = {Applied the chaotic time-series optimization algorithm to solve hydrogeological parameters through analysis the pumping test data of the first type leakage aquifer, then explored the influence of the initial value of aquifer parameters and other factors on the convergence and results of the algorithm. The results shown that: ①chaotic time-series optimization algorithm could be effectively applied to the calculation problem of aquifer parameters; ②the initial value of the coefficient of storage and conductivity don’t have too much obvious effect on the search and results of the algorithm; ③The upper limit of algorithm had no obvious effect on the search ability but reduce the accuracy of results. Compared with other methods, the chaotic optimization method had such advantages as simple in principle of algorithm, easy to make program and to conduct, and the precision of aquifer parameters calculated was not affected by artificial subjective factors.},
     year = {2015}
    }
    

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  • TY  - JOUR
    T1  - Application of Chaotic Time-Series Optimization Algorithm in Solving the Parameters of Leakage Aquifer
    AU  - Zhang Xiao-zhou
    AU  - Lu Yu-dong
    AU  - Guo Jian-qing
    Y1  - 2015/12/01
    PY  - 2015
    N1  - https://doi.org/10.11648/j.earth.20150405.14
    DO  - 10.11648/j.earth.20150405.14
    T2  - Earth Sciences
    JF  - Earth Sciences
    JO  - Earth Sciences
    SP  - 188
    EP  - 192
    PB  - Science Publishing Group
    SN  - 2328-5982
    UR  - https://doi.org/10.11648/j.earth.20150405.14
    AB  - Applied the chaotic time-series optimization algorithm to solve hydrogeological parameters through analysis the pumping test data of the first type leakage aquifer, then explored the influence of the initial value of aquifer parameters and other factors on the convergence and results of the algorithm. The results shown that: ①chaotic time-series optimization algorithm could be effectively applied to the calculation problem of aquifer parameters; ②the initial value of the coefficient of storage and conductivity don’t have too much obvious effect on the search and results of the algorithm; ③The upper limit of algorithm had no obvious effect on the search ability but reduce the accuracy of results. Compared with other methods, the chaotic optimization method had such advantages as simple in principle of algorithm, easy to make program and to conduct, and the precision of aquifer parameters calculated was not affected by artificial subjective factors.
    VL  - 4
    IS  - 5
    ER  - 

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Author Information
  • Environment Science and Engineering Institute, Chang'an University, Xi'an, China

  • Environment Science and Engineering Institute, Chang'an University, Xi'an, China

  • Environment Science and Engineering Institute, Chang'an University, Xi'an, China

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