基于ANN与GIS耦合技术的地下水污染敏感性评价  

Study of Vulnerability Evaluation to Contamination of Groundwater Based on Technique of ANN-GIS

作　　者：武强[1] 戴国锋[1] 吕华[1] 马振民[1] 赵增敏[1] 王志强[1] 

机构地区：[1]中国矿业大学资源与安全工程学院,北京100083

出　　处：《中国矿业大学学报》2006年第4期431-436,共6页Journal of China University of Mining & Technology

基　　金：教育部科学技术研究重大培养项目(2004-295);教育部跨世纪优秀人才基金项目(2000-3)

摘　　要：地下水污染敏感性分析及其制图是目前国际水文地质研究的热点和前沿课题,也是防治地下水污染问题工作的前导.根据研究区域内地下水污染特征,提出了多因子组合条件下地下水污染敏感性分析的定量化方法,结合选定的评价因子类别确定了人工神经网络(ANN)模型的结构,获取各评价子专题层的权重系数,在此基础上运用地理信息系统(GIS)与人工神经网络耦合技术对各子专题层进行加权复合叠加,构建出污染敏感性分析模型,并据此提出了研究区域地下水污染敏感性分区评价成果图.The evaluation and mapping for the vulnerability of contamination of groundwater are importance for hydrogeological studies. In this paper, a method using an ANN-GIS coupled mod- el to analyze the vulnerability to contamination of groundwater was presented. Combining the selected specified factors, a structure of ANN model was proposed and the weighting coefficients of each thematic layer were also acquired. Based on the technique of ANN-GIS, the thematic layers were superimposed according to the respective weight, and a evaluation model of vulnerability to contamination of groundwater was established. Finally, the vulnerability evaluation to contamination of groundwater in a case study was presented.

关 键 词：人工神经网络 非线性 地下水 敏感性 地理信息系统 

分 类 号：P641[天文地球—地质矿产勘探]