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The Regression Analysis between the Meteorological Synthetic Index Sequence and PM2.5 Concentration
College of Science, Wuhan University of Technology, Wuhan, China
College of Science, Wuhan University of Technology, Wuhan, China
College of Science, Wuhan University of Technology, Wuhan, China
College of Science, Wuhan University of Technology, Wuhan, China
College of Science, Wuhan University of Technology, Wuhan, China
College of Science, Wuhan University of Technology, Wuhan, China
College of Science, Wuhan University of Technology, Wuhan, China
- 1 College of Science, Wuhan University of Technology, Wuhan, China
- 2 College of Science, Wuhan University of Technology, Wuhan, China
- 3 College of Science, Wuhan University of Technology, Wuhan, China
- 4 College of Science, Wuhan University of Technology, Wuhan, China
- 5 College of Science, Wuhan University of Technology, Wuhan, China
- 6 College of Science, Wuhan University of Technology, Wuhan, China
- 7 College of Science, Wuhan University of Technology, Wuhan, China
Applied Mathematics·Volume 06 (2015)·Pages 1913–1917·Published 16 October 2015·DOI10.4236/am.2015.611168
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Abstract
Adapting daily meteorological data provided by China International Exchange Station, and using principal component analysis of meteorological index for dimension reduction comprehensive, the regression analysis model between PM2.5 and comprehensive index is established, by making use of Eviews time series modeling of the comprehensive principal component, finally puts forward opinions and suggestions aim at the regression analysis results of using artificial rainfall to ease haze.
KeywordsMeteorological IndexPrincipal Component AnalysisTime Series ModelingPM2.5Haze
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