Application of Chaotic Time-Series Optimization Algorithm in Solving the Parameters of Leakage Aquifer
Earth Sciences
Volume 4, Issue 5, October 2015, Pages: 188-192
Received: Dec. 1, 2015; Published: Dec. 1, 2015
Views 3145      Downloads 39
Authors
Zhang Xiao-zhou, Environment Science and Engineering Institute, Chang'an University, Xi'an, China; Key Laboratory of Subsurface Hydrology and Ecology in Arid Areas, Ministry of Education, Xi'an, China
Lu Yu-dong, Environment Science and Engineering Institute, Chang'an University, Xi'an, China; Key Laboratory of Subsurface Hydrology and Ecology in Arid Areas, Ministry of Education, Xi'an, China
Guo Jian-qing, Environment Science and Engineering Institute, Chang'an University, Xi'an, China; Key Laboratory of Subsurface Hydrology and Ecology in Arid Areas, Ministry of Education, Xi'an, China
Article Tools
Follow on us
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.
Keywords
Chaotic Time-Series Optimization Algorithm, Leakage System, Leakage Factor
To cite this article
Zhang Xiao-zhou, Lu Yu-dong, Guo Jian-qing, Application of Chaotic Time-Series Optimization Algorithm in Solving the Parameters of Leakage Aquifer, Earth Sciences. Vol. 4, No. 5, 2015, pp. 188-192. doi: 10.11648/j.earth.20150405.14
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.
ADDRESS
Science Publishing Group
1 Rockefeller Plaza,
10th and 11th Floors,
New York, NY 10020
U.S.A.
Tel: (001)347-983-5186