The application of principal component regression models in air quality analysis based on SuperMap GIS - 文章详情页

作者：

Ma, Mintao (Ma, Mintao.) | Sun, Lei (Sun, Lei.) | Zhu, Ruijuan (Zhu, Ruijuan.)

收录：

EI Scopus

摘要：

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.　©　2011　IEEE.

关键词：

Air pollution Air quality Electron emission Environmental management Environmental technology Geographic information systems Information management Multivariant analysis Principal component analysis Quality control Regression analysis

作者机构：

[ 1 ] [Ma, Mintao]Beijing University of Technology, College of Environment and Energy Engineering, Beijing, China
[ 2 ] [Sun, Lei]Beijing University of Technology, College of Environment and Energy Engineering, Beijing, China
[ 3 ] [Zhu, Ruijuan]Beijing University of Technology, College of Environment and Energy Engineering, Beijing, China

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