多元统计模型在水环境污染物源解析中的应用  

Application of Multivariate Statistical Analysis in the Source Apportionment of Surface Water

作　　者：陈锋[1,2] 孟凡生[3] 王业耀[1,4] 张铃松[3] 杨琦[1] 

机构地区：[1]中国地质大学水资源与环境学院,北京100083 [2]北华航天工业学院,河北廊坊065000 [3]中国环境科学研究院水污染控制技术研究中心,北京100012 [4]中国环境监测总站国家环境保护环境监测质量控制重点实验室,北京100012

出　　处：《人民黄河》2016年第1期79-84,共6页Yellow River

基　　金：国家水体污染控制与治理科技重大专项(2014Z X07502-002;2015ZX07201-008)

摘　　要：源解析是指对污染物的来源进行定性或定量研究的技术,查明水环境中污染物来源是有效治理污染的前提。介绍了多元统计模型在水环境中污染物源解析方面的几种常用方法及其在国内外的研究、应用案例,分析了各模型的优缺点及其适用条件,指出了近年来对多元统计模型的优化研究情况。最后针对以往研究工作的不足和存在的问题,指出今后水环境污染物源解析研究的新思路:多元复合模型的应用,利用统计学知识对现有模型的优化改建,GIS与源解析统计模型的有效结合。Source apportionment is the technology of referring to the qualitative and quantitative research on the sources of pollutants. Finding out the sources of pollutants in water environment is the precondition of effective governance of pollution. The applications of multivariate statistical model on pollutants in surface water at home and abroad were summarized in this paper. Meanwhile,the development process of research,the advantages and disadvantages of each model,the using conditions of each model and the application cases in our country and abroad were reviewed,the optimization of multivariate statistical models in recent years was commented as well. Finally aiming at the shortcomings of the previous research work and the existing problems,the key points of studying contamination source recognition and analysis in future were set,which was 1) the application of multivariate composite model; 2) the reconstruction and optimization of models on statistical knowledge and; 3) the effective combination of GIS and source analytic statistical model.

关 键 词：水环境 水污染 多元统计 源解析 受体模型 

分 类 号：X52[环境科学与工程—环境工程]