Receptor Modeling for Air Pollution Source Apportionment Study ... Prapat Pongkiatkul and Nguyen Thi Kim Oanh

2012 ◽  
pp. 80-113
Keyword(s):  
Air Pollution ◽  
Source Apportionment ◽  
Pollution Source ◽  
Receptor Modeling

Urban air pollution source apportionment using a combination of aerosol and gas monitoring techniques

1996 ◽  
Vol 30 (15) ◽  
pp. 2795-2809 ◽  
Author(s):  
Erik Swietlicki ◽  
Sanjiv Puri ◽  
Hans-Christen Hansson ◽  
Hans Edner
Keyword(s):  
Air Pollution ◽  
Source Apportionment ◽  
Urban Air Pollution ◽  
Pollution Source ◽  
Urban Air ◽  
Gas Monitoring ◽  
Monitoring Techniques

Feasibility Analysis of a Method for Physical Source Apportionment of PM2.5 Based on Particle Morphology and Size Distribution

2013 ◽  
Vol 864-867 ◽  
pp. 1639-1643
Author(s):  
Feng Wang ◽  
Yao Dong Li ◽  
Qi Xing Zhang ◽  
Hai Bing Hu ◽  
Yong Ming Zhang
Keyword(s):  
Air Pollution ◽  
Size Distribution ◽  
Source Apportionment ◽  
Fine Particles ◽  
Scientific Evidence ◽  
Urban Air Pollution ◽  
Particle Morphology ◽  
Physical Method ◽  
Pollution Source ◽  
Environment And Health

Inhalable particles do harm to the environment and health, especially fine particles, also as PM2.5. PM2.5 is the key pollutant of the compound air pollution, and becomes the primary indicator of the urban air pollution. Source apportionment to track the source of the particulate matter is important to the evaluation of the effect of pollution sources on environment and health. It can also provide scientific evidence for the prevention and control of air pollution. Methods of chemical source apportionment have been accurate and developed based on the assumption of linear combination of receptor model with much mathematical computing and complex operations. The physical characteristics such as morphology and size distribution of particulates from different sources are significantly different. We could establish data base of physical properties about atmospheric particulates, and develop a new physical method of source apportionment used in quantitative analysis.

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