The Application of Principal Component Regression Models in Air Quality Analysis Based on SuperMap GIS
In order to make better use of existing environmental data resources and enhance regional environmental management and improve the environment, this paper uses the work method which is effectively integrated by GIS and multivariate statistical analysis technology, through the regional air pollution relevant data of the combination of urban and rural areas in western Beijing, using the principal component analysis and regression analysis based on SuperMap GIS Platform of this paper prophase development method. The corresponding regional environmental problems in the region are targeted extracted, classified, concluded, and analyzed, and rapid exploration and summary of regional environmental pollution rules. This work has some reference value to the improvement of the environmental quality of urban areas.
Ma Mintao Sun Lei Zhu Ruijuan
Beijing University of Technology, College of Environment and Energy Engineering Beijing China
国际会议
International Conference on Management and Service Science(2011年第五届管理与服务科学国际会议 MASS 2011)
武汉
英文
1-4
2011-08-12(万方平台首次上网日期,不代表论文的发表时间)