The Regression Models of PM2.5 and Other Air pollutants in Wuhan

被引:1
|
作者
Li, Lingna [1 ]
Gong, Xiaoping [2 ]
Dai, Lincheng [2 ]
Zhan, Xiaohong [2 ]
机构
[1] Southwest Petr Univ, Sch Sci, Chengdu 610500, Sichuan, Peoples R China
[2] Southwest Petr Univ, Sch Natural Resource & Environm, Chengdu 610500, Peoples R China
来源
关键词
PM2.5; air pollution; factors and causes; correlation analysis; regression model; MORTALITY; POLLUTION;
D O I
10.4028/www.scientific.net/AMR.864-867.1356
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In this study PM2.5 and other five air pollutants (i.e. SO2, NO2, PM10, CO, and O-3) have been analyzed by using statistical methods. Two different regression models were established quantitatively in this paper to find out the factors and causes of PM2.5 and were compared by using the partial data from January 1 to August 26, 2013, which is obtained from Wuhan Environmental Protection Bureau. The results indicate that the correlation coefficients of PM2.5 and other four air pollutants CO, SO2, NO2, and PM10 are all over 0.7, which shows significant linear correlations, and regression models were proved illustrious and accurate by testing and contrast.
引用
收藏
页码:1356 / +
页数:2
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