Inhalation cancer risk estimation of source-specific personal exposure for particulate matter–bound polycyclic aromatic hydrocarbons based on positive matrix factorization

2019 ◽  
Vol 26 (10) ◽  
pp. 10230-10239 ◽  
Author(s):  
Bin Han ◽  
Yan You ◽  
Yating Liu ◽  
Jia Xu ◽  
Jian Zhou ◽  
...  
Keyword(s):  
Polycyclic Aromatic Hydrocarbons ◽  
Particulate Matter ◽  
Cancer Risk ◽  
Aromatic Hydrocarbons ◽  
Matrix Factorization ◽  
Risk Estimation ◽  
Personal Exposure ◽  
Positive Matrix Factorization ◽  
Positive Matrix ◽  
Polycyclic Aromatic

Source apportionment of polycyclic aromatic hydrocarbons in PM2.5 using positive matrix factorization modeling in Shanghai, China

2015 ◽  
Vol 17 (1) ◽  
pp. 197-205 ◽  
Author(s):  
Fengwen Wang ◽  
Tian Lin ◽  
Jialiang Feng ◽  
Huaiyu Fu ◽  
Zhigang Guo
Keyword(s):  
Air Pollution ◽  
Polycyclic Aromatic Hydrocarbons ◽  
Source Apportionment ◽  
Aromatic Hydrocarbons ◽  
Matrix Factorization ◽  
Positive Matrix Factorization ◽  
Quantitative Information ◽  
Positive Matrix ◽  
Abatement Strategies ◽  
Polycyclic Aromatic

Providing quantitative information on the sources of PM2.5-bound polycyclic aromatic hydrocarbons (PAHs) in urban regions is vital to establish effective abatement strategies for air pollution in a megacity.

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