Title :
The Application of Principal Component Regression Models in Air Quality Analysis Based on SuperMap GIS
Author :
Ma Mintao ; Sun Lei ; Zhu Ruijuan
Author_Institution :
Coll. of Environ. & Energy Eng., Beijing Univ. of Technol., Beijing, China
Abstract :
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.
Keywords :
air pollution; atmospheric techniques; environmental monitoring (geophysics); geographic information systems; principal component analysis; regression analysis; China; SuperMap GIS; air quality analysis; environmental data resources; environmental quality; multivariate statistical analysis technology; principal component analysis; principal component regression models; regional environmental management; regional environmental problems; regression analysis; rural areas; urban areas; western Beijing; Air pollution; Atmospheric modeling; Environmentally friendly manufacturing techniques; Geographic Information Systems; Principal component analysis; Regression analysis;
Conference_Titel :
Management and Service Science (MASS), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6579-8
DOI :
10.1109/ICMSS.2011.5998623
