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北京平原区地下水污染源识别与危害性分级
引用本文:陆燕,何江涛,王俊杰,刘丽雅,张小亮.北京平原区地下水污染源识别与危害性分级[J].环境科学,2012,33(5):1526-1531.
作者姓名:陆燕  何江涛  王俊杰  刘丽雅  张小亮
作者单位:中国地质大学水资源与环境学院,水资源与环境工程北京市重点实验室,北京 100083;中国地质大学水资源与环境学院,水资源与环境工程北京市重点实验室,北京 100083;中国地质大学水资源与环境学院,水资源与环境工程北京市重点实验室,北京 100083;中国地质大学水资源与环境学院,水资源与环境工程北京市重点实验室,北京 100083;中国地质大学水资源与环境学院,水资源与环境工程北京市重点实验室,北京 100083
基金项目:环保公益性行业科研项目(200909038-1)
摘    要:地下水污染源的有效识别与分级对地下水污染风险源识别和地下水污染防控区划具有重要意义.本研究通过对北京市平原区主要污染源进行解析,构建了以特征污染物属性与污染物排放量计算污染源危害性的量化计算方法.运用ARCGIS 9.3软件实现了北京市平原区的污染负荷空间分布和污染物属性的叠加分析,得到地下水污染源识别与危害性分级.结果表明,该方法能够较为细致准确地反映出污染源的危害性分级,识别结果表明工业污染源对北京平原区地下水污染贡献最大,其次是城镇居民区和垃圾场.

关 键 词:污染源识别  特征污染物属性  污染源危害性  ARCGIS9.3  污染负荷  分级
收稿时间:2011/7/31 0:00:00
修稿时间:2011/9/15 0:00:00

Groundwater Pollution Sources Identification and Grading in Beijing Plain
LU Yan,HE Jiang-tao,WANG Jun-jie,LIU Li-ya and ZHANG Xiao-liang.Groundwater Pollution Sources Identification and Grading in Beijing Plain[J].Chinese Journal of Environmental Science,2012,33(5):1526-1531.
Authors:LU Yan  HE Jiang-tao  WANG Jun-jie  LIU Li-ya and ZHANG Xiao-liang
Institution:Beijing Key Laboratory of Water Resources and Environmental Engineering, School of Water Resources and Environment, China University of Geosciences, Beijing 100083, China;Beijing Key Laboratory of Water Resources and Environmental Engineering, School of Water Resources and Environment, China University of Geosciences, Beijing 100083, China;Beijing Key Laboratory of Water Resources and Environmental Engineering, School of Water Resources and Environment, China University of Geosciences, Beijing 100083, China;Beijing Key Laboratory of Water Resources and Environmental Engineering, School of Water Resources and Environment, China University of Geosciences, Beijing 100083, China;Beijing Key Laboratory of Water Resources and Environmental Engineering, School of Water Resources and Environment, China University of Geosciences, Beijing 100083, China
Abstract:Effective identification of groundwater pollution resources and grading has a significance on the identification of groundwater pollution risk, prevention and control. In this research, through groundwater pollution sources analyzing, a quantitative calculation method of the pollution sources hazard based on representative contaminant properties and pollutant emission amount was built. The ARCGIS 9.3 software was used to perform the distribution characteristics of the pollution loads and contaminants properties overlaying analysis in Beijing plain, then the identification and grading of pollution resources were achieved. The research results showed that this method could reflect the grading of pollution resources meticulously and accurately. Identification result shows that the industrial zones are the most seriously polluted areas, followed by the urban residential areas and landfill sites.
Keywords:identification of pollution sources  representative contaminant property  pollution sources hazard  ARCGIS 9  3  pollution loads  grading
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