Source apportionment of PM2.5 in Beijing using positive matrix factorization

被引：0

作者：

Xiangchun Jin

Caijin Xiao

Jue Li

Donghui Huang

Guojun Yuan

Yonggang Yao

Xinghua Wang

Long Hua

Guiying Zhang

Lei Cao

Pingsheng Wang

Bangfa Ni

机构：

[1] China Institute of Atomic Energy,Department of Nuclear Physics

[2] Beijing Institute of Occupational Medicine for Chemical Industry,Nuclear and Radiation Safety Center

[3] Ministry of Environmental Protection,Department of Nuclear Engineering

[4] Chengdu University of Technology,undefined

来源：

Journal of Radioanalytical and Nuclear Chemistry | 2016年 / 307卷

关键词：

PM2.5; Positive matrix factorization; Conditional probability function; Potential source contribution function; HYSPLIT;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

In order to do source apportionment of PM2.5 and source trajectories, particle induced X-ray emission and energy disperse-X ray fluorescence were used to analyze chemical composition of samples. Five major sources have been identified by using positive matrix factorization. Source trajectories have been determined by conditional probability function and the potential source contribution function. Extreme events, such as sandstorms, have been identified and traced.

引用

页码：2147 / 2154

页数：7

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