回归分析与GIS集成在大气污染分析中应用  

Application of Regression Analysis and GIS Integration in Air Pollution Analysis

作　　者：马民涛[1] 张菁[1] 王江萍[1] 郭瑾[1] 李旭[2] 

机构地区：[1]北京工业大学环境与能源工程学院,北京100022 [2]北京市劳动保护科学研究所,北京100054

出　　处：《环境科学与技术》2010年第1期107-112,共6页Environmental Science & Technology

基　　金：国家自然科学基金项目资助(70673003)

摘　　要：为有效进行区域环境管理和改善质量水平,更好地利用现有环境数据资源,快速探索与总结区域环境污染的若干规律;文章在构建基于GIS的回归分析集成技术基础上,以北京市某区域的大气污染为例,运用该技术对该区域的主要大气污染因子与相关变量进行回归分析,对主要污染物的减排目标进行预测;进一步根据回归模型的结果提出该区域大气环境质量改善的建议。对城市区域环境质量改善具有一定的参考价值,是城市环境治理的可行途径和有效的工作方法。Regression analysis as a conventional method of multianalysis can deal with data-base made up of abundant variable swatches. GIS is a space management platform based on computer whose special space-data management and analysis function can reinforce regression model. The integration of the two technologies is the key to solve regional environmental problems. The integration technology based on regression analysis and GIS was built and used for regression analysis of regional air pollutants in some area of Beijing with prediction of reduction goal of primary contamination. The improvement measures of air environment were proposed, which is valuable to improvement of regional environment and also is a doable way of environment transaction.

关 键 词：回归分析 地理信息系统 集成 大气污染 区域环境 

分 类 号：X32[环境科学与工程—环境工程]