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

被引：13
|
作者：
Jin, Xiangchun [1 ]
Xiao, Caijin [1 ]
Li, Jue [2 ]
Huang, Donghui [3 ]
Yuan, Guojun [1 ]
Yao, Yonggang [1 ]
Wang, Xinghua [1 ,4 ]
Hua, Long [1 ]
Zhang, Guiying [1 ,2 ]
Cao, Lei [2 ]
Wang, Pingsheng [1 ]
Ni, Bangfa [1 ]
机构：
[1] China Inst Atom Energy, Dept Nucl Phys, Beijing 102413, Peoples R China
[2] Beijing Inst Occupat Med Chem Ind, Beijing 100093, Peoples R China
[3] Minist Environm Protect, Nucl & Radiat Safety Ctr, Beijing 100082, Peoples R China
[4] Chengdu Univ Technol, Dept Nucl Engn, Chengdu 610059, Peoples R China
来源：
JOURNAL OF RADIOANALYTICAL AND NUCLEAR CHEMISTRY | 2016年 / 307卷 / 03期
关键词：
PM2.5; Positive matrix factorization; Conditional probability function; Potential source contribution function; HYSPLIT; AIRBORNE PARTICULATE MATTER; SOURCE IDENTIFICATION; ATLANTA AEROSOL; FINE; AREA; ENVIRONMENT; FRACTIONS; MORTALITY; POLLUTION; HEALTH;
D O I：
10.1007/s10967-015-4544-0
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
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
收藏
页码：2147 / 2154
页数：8
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