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基于模糊逻辑的北京城市边缘区土壤重金属污染空间预测
作者姓名:TAN Man-Zhi  XU Fang-Ming  CHEN Jie  ZHANG Xue-Lei  CHEN Jing-Zhong
作者单位:[1]State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008 (China) [2]Graduate school of the Chinese Academy of Sciences, Beijing 100039 [3]Chengdu University of Technology, Chengdu 610059 (China) [4]Nanjing Station of Soil and Fertilizer, Nanjing 210036 (China)
基金项目:国家自然科学基金;国家重点基础研究发展计划(973计划)
摘    要:Fuzzy classification combined with spatial prediction was used to assess the state of soil pollution in the peri-urban Beijing area. Total concentrations of As, Cr, Cd, Hg, and Pb were determined in 220 topsoil samples (0-20 cm) collected using a grid design in a study area of 2 600 kin2. Heavy metal concentrations were grouped into three classes according to the optimum number of classes and fuzziness exponent using the fuzzy comean (FCM) algorithm. Membership values were interpolated using ordinary kriging. The polluted soils of the study area induced by the measured heavy metals were concentrated in the northwest corner and eastern part, especially the southeastern part close to the urban zone, whereas the soils free of pollution were mainly distributed in the southwestern part. The soils with potential risk of heavy metal pollution were located in isolated spots mainly in the northern part and southeastern corner of the study region. The FCM algorithm combined with geostatistical techniques, as compared to conventional single geostatistical kriging methods, could produce a prediction with a quantitative uncertainty evaluation and higher reliability. Successful prediction of soil pollution achieved with FCM algorithm in this study indicated that fuzzy set theory had great potential for use in other areas of soil science.

关 键 词:重金属  空间预报  土壤污染  北京
收稿时间:2006-03-28
修稿时间:2006-06-30

Spatial prediction of heavy metal pollution for soils in peri-urban Beijing, China based on fuzzy set theory
TAN Man-Zhi,XU Fang-Ming,CHEN Jie,ZHANG Xue-Lei,CHEN Jing-Zhong.Spatial prediction of heavy metal pollution for soils in peri-urban Beijing, China based on fuzzy set theory[J].Pedosphere,2006,16(5):545-554.
Authors:TAN Man-Zhi  XU Fang-Ming  CHEN Jie  ZHANG Xue-Lei and CHEN Jing-Zhong
Institution:State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008,China.
Abstract:Fuzzy classification combined with spatial prediction was used to assess the state of soil pollution in the peri-urban Beijing area. Total concentrations of As, Cr, Cd, Hg, and Pb were determined in 220 topsoil samples (0-20 cm) collected using a grid design in a study area of 2600 km2. Heavy metal concentrations were grouped into three classes according to the optimum number of classes and fuzziness exponent using the fuzzy c-mean (FCM) algorithm. Membership values were interpolated using ordinary kriging. The polluted soils of the study area induced by the measured heavy metals were concentrated in the northwest corner and eastern part, especially the southeastern part close to the urban zone, whereas the soils free of pollution were mainly distributed in the southwestern part. The soils with potential risk of heavy metal pollution were located in isolated spots mainly in the northern part and southeastern corner of the study region. The FCM algorithm combined with geostatistical techniques, as compared to conventional single geostatistical kriging methods, could produce a prediction with a quantitative uncertainty evaluation and higher reliability. Successful prediction of soil pollution achieved with FCM algorithm in this study indicated that fuzzy set theory had great potential for use in other areas of soil science.
Keywords:continuous classification  fuzzy c-means  heavy metal  soil pollution  spatial prediction
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