| Fuzzy pattern recognition method for assessing groundwater vulnerability to pollution in the Zhangji area |
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| 作者姓名： | MAO Yuan-yuan ZHANG Xue-gang WANG Lian-sheng |
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| 作者单位： | MAO Yuan-yuan1，2，ZHANG Xue-gang3，WANG Lian-sheng1 (1School of the Environment，Nanjing University，Nanjing 210093，China) (2Water Resources Planning Bureau of Jiangsu Province，Nanjing 210029，China) (3School of Water Resources and Environment，Hohai University，Nanjing 210098，China) |
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| 基金项目： | Project (No. ICA4-CT-2001-10039) supported by Manporivers(Management policies for priority water pollutants and their effects onfoods and human health: general methodology and application toChinese river basins) |
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| 摘 要： | INTRODUCTION In order to tackle the groundwater pollution and to protect the groundwater quality in a more scientific and efficient way, different methods and models have been developed for assessing the groundwater vul- nerability to pollution. The DRASTIC method, since developed by the US Environmental Protection Agency (EPA) (Aller et al., 1987), has been widely used in the US and also been applied in various na- tions and regions such as Israel (Melloul and Collin, 1998), Port…
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| 关 键 词： | DRASTIC 模糊集 识别 优化 地下水 |
| 收稿时间： | 2006-02-13 |
| 修稿时间： | 2006-07-03 |
Fuzzy pattern recognition method for assessing groundwater vulnerability to pollution in the Zhangji area |
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| 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,2006,7(11):1917-1922. |
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| Authors: | Yuan-yuan Mao Xue-gang Zhang Lian-sheng Wang |
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| Institution: | (1) School of the Environment, Nanjing University, Nanjing, 210093, China;(2) Water Resources Planning Bureau of Jiangsu Province, Nanjing, 210029, China;(3) School of Water Resources and Environment, Hohai University, Nanjing, 210098, China |
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| 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. |
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| Keywords: | Fuzzy sets recognition and optimization method Groundwater vulnerability to pollution DRASTIC |
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