Estimation of PM2.5 Spatial Distribution Based on Kriging Interpolation

被引：0
|
作者：
Deng, Lirong [1 ,2 ]
机构：
[1] North China Elect Power Univ, Sch Elect, Baoding 071003, Peoples R China
[2] North China Elect Power Univ, Dept Elect Engn, Baoding 071003, Peoples R China
来源：
PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON INFORMATION SCIENCES, MACHINERY, MATERIALS AND ENERGY (ICISMME 2015) | 2015年 / 126卷
关键词：
PM2.5 spatial distribution; kriging interpolation; Matlab;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The air quality in Beijing City is getting more and more attention. Aimed at analyzing distribution of PM2.5 concentration, this study adopts thirty-two observation sites PM2.5 concentration data in six days from Beijing City Environmental Protection Bureau. By kriging interpolation method, 100x100 unknown points' concentrations have been predicted and PM2.5 spatial distribution drawings have been plotted. The results show that PM2.5 concentration takes the gradient distribution. South area is higher than north while west area is higher than east. Further, we discussed reasons for this distribution.
引用
收藏
页码：1806 / 1809
页数：4
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