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CLC number: TU984

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Received: 2006-02-13

Revision Accepted: 2006-07-03

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Journal of Zhejiang University SCIENCE A 2006 Vol.7 No.11 P.1917-1922

http://doi.org/10.1631/jzus.2006.A1917


Fuzzy pattern recognition method for assessing groundwater vulnerability to pollution in the Zhangji area


Author(s):  MAO Yuan-yuan, ZHANG Xue-gang, WANG Lian-sheng

Affiliation(s):  School of the Environment, Nanjing University, Nanjing 210093, China; more

Corresponding email(s):   myy_1119@hotmail.com

Key Words:  Fuzzy sets recognition and optimization method, Groundwater vulnerability to pollution, DRASTIC


MAO Yuan-yuan, ZHANG Xue-gang, WANG Lian-sheng. Fuzzy pattern recognition method for assessing groundwater vulnerability to pollution in the Zhangji area[J]. Journal of Zhejiang University Science A, 2006, 7(11): 1917-1922.

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author="MAO Yuan-yuan, ZHANG Xue-gang, WANG Lian-sheng",
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year="2006",
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doi="10.1631/jzus.2006.A1917"
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%A MAO Yuan-yuan
%A ZHANG Xue-gang
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%J Journal of Zhejiang University SCIENCE A
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.A1917

TY - JOUR
T1 - Fuzzy pattern recognition method for assessing groundwater vulnerability to pollution in the Zhangji area
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A1 - ZHANG Xue-gang
A1 - WANG Lian-sheng
J0 - Journal of Zhejiang University Science A
VL - 7
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SP - 1917
EP - 1922
%@ 1673-565X
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2006.A1917


Abstract: 
Based on the widely used DRASTIC method, a fuzzy pattern recognition and optimization method was proposed and applied to the fissured-karstic aquifer of Zhangji area for assessing groundwater vulnerability to pollution. The result is compared with DRASTIC method. It is shown that by taking the fuzziness into consideration, the fuzzy pattern recognition and optimization method reflects more efficiently the fuzzy nature of the groundwater vulnerability to pollution and is more applicable in reality.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1] Aller, L., Bennet, T., Lehr, J.H., Petty, R., Heckett, G., 1987. DRASTIC: A Standardized System for Evaluating Ground Water Pollution Potential Using Hydrogeological Settings. U.S. Environmental Protection Agency. Washington, D.C., Document EPA/600/2-85-018.

[2] Chen, S.Y., 1994. Systematic Fuzzy Decision-Making Theory and Application. Publishing House of Dalian University of Technology, Dalian (in Chinese).

[3] Chen, S.Y., 1998. The Fuzzy Sets Theory and Practice for Engineering Hydrology and Water Resources System. Publishing House of Dalian University of Technology, Dalian (in Chinese).

[4] Kim, Y.J., Hamm, S., 1999. Assessment of the potential for ground water contamination using the DRASTIC/EGIS technique, Cheongju area, South Korea. Hydrogeology Journal, 7(2):227-235.

[5] Lobo-Ferreira, J.P., Oliveira, M.M., 1997. DRASTIC Groundwater Vulnerability Mapping of Portugal. Proceedings from the 27th Congress of the International Association for Hydraulic Research, San Francisco, USA, p.132-137.

[6] Lynch, S.D., Reynders, A.G., Schulze, R.E., 1997. A DRASTIC approach to ground water vulnerability in South Africa. South African Journal of Science, 93(2):59-60.

[7] Melloul, M., Collin, M., 1998. A proposed index for aquifer water-quality assessment: the case of Israel’s Sharon rgion. Journal of Environmental Management, 54(2):131-142.

[8] Qian, J.Z., Wu, J.F., Dong, H.X., Zhu, X.Y., 2003. The isoparameteric finite element numerical model for the fissured-karstic aquifer of Zhangji groundwater supply area, Xuzhou. Journal of Hydraulic Engineering, 3:37-41 (in Chinese).

[9] Yang, Q., Luan, M.T., 1999. Application of DRASTIC index to assessment of groundwater vulnerability to pollution in Dalian city. Journal of Dalian University of Technology, 39(5):684-688 (in Chinese).

[10] Zhou, H.C, Wang, G.L., Yang, Q., 1999. A multi-objective fuzzy recognition model for assessing groundwater vulnerability based on the DRASTIC system. Hydrological Sciences, 44(4):611-618 (in Chinese).

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