Author(s)

Weijuan Liang, Zhaogan Zhang, Jing Gao, Wanyu Li, Xiaofan Liu, Liyuan Bai, Yufeng Gui

College of Science, Wuhan University of Technology, Wuhan, China.

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.

Meteorological Index, Principal Component Analysis, Time Series Modeling, PM2.5, Haze

Liang, W. , Zhang, Z. , Gao, J. , Li, W. , Liu, X. , Bai, L. and Gui, Y. (2015) The Regression Analysis between the Meteorological Synthetic Index Sequence and PM2.5 Concentration. Applied Mathematics, 6, 1913-1917. doi: 10.4236/am.2015.611168.