Combination of Unmix and positive matrix factorization model identifying contributions to carcinogenicity and mutagenicity for polycyclic aromatic hydrocarbons sources in Liaohe delta reed wetland soils, China

Chemosphere ◽  
2015 ◽  
Vol 120 ◽  
pp. 431-437 ◽  
Author(s):  
Yin-Hai Lang ◽  
Guo-Liang Li ◽  
Xiao-Mei Wang ◽  
Peng Peng ◽  
Jie Bai
Keyword(s):  
Polycyclic Aromatic Hydrocarbons ◽  
Aromatic Hydrocarbons ◽  
Matrix Factorization ◽  
Positive Matrix Factorization ◽  
Wetland Soils ◽  
Positive Matrix ◽  
Factorization Model ◽  
Polycyclic Aromatic ◽  
Liaohe Delta

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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