Application of a self-organizing map and positive matrix factorization to investigate the spatial distributions and sources of polycyclic aromatic hydrocarbons in soils from Xiangfen County, northern China

2017 ◽  
Vol 141 ◽  
pp. 98-106 ◽  
Author(s):  
Shi-yang Tao ◽  
Bu-qing Zhong ◽  
Yan Lin ◽  
Jin Ma ◽  
Yongzhang Zhou ◽  
...  
Keyword(s):  
Polycyclic Aromatic Hydrocarbons ◽  
Aromatic Hydrocarbons ◽  
Matrix Factorization ◽  
Northern China ◽  
Positive Matrix Factorization ◽  
Spatial Distributions ◽  
Self Organizing Map ◽  
Positive Matrix ◽  
Polycyclic Aromatic ◽  
Hydrocarbons In Soils

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.

Sign in / Sign up

Export Citation Format

Share Document