CLC number: TU984
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 0000-00-00
Cited: 5
Clicked: 5605
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.
@article{title="Fuzzy pattern recognition method for assessing groundwater vulnerability to pollution in the Zhangji area",
author="MAO Yuan-yuan, ZHANG Xue-gang, WANG Lian-sheng",
journal="Journal of Zhejiang University Science A",
volume="7",
number="11",
pages="1917-1922",
year="2006",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2006.A1917"
}
%0 Journal Article
%T Fuzzy pattern recognition method for assessing groundwater vulnerability to pollution in the Zhangji area
%A MAO Yuan-yuan
%A ZHANG Xue-gang
%A WANG Lian-sheng
%J Journal of Zhejiang University SCIENCE A
%V 7
%N 11
%P 1917-1922
%@ 1673-565X
%D 2006
%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
A1 - MAO Yuan-yuan
A1 - ZHANG Xue-gang
A1 - WANG Lian-sheng
J0 - Journal of Zhejiang University Science A
VL - 7
IS - 11
SP - 1917
EP - 1922
%@ 1673-565X
Y1 - 2006
PB - Zhejiang University Press & Springer
ER -
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.
[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).
Open peer comments: Debate/Discuss/Question/Opinion
<1>