Guo-Liang Shi, Yin-Chang Feng , Jian-Hui Wu, Xiang Li, Yu-Qiu Wang, Yong-Hua Xue, Tan Zhu

  • State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China

Received: December 29, 2016
Revised: August 31, 2009
Accepted: August 31, 2009
Download Citation: ||https://doi.org/10.4209/aaqr.2008.12.0063  

  • Download: PDF


Cite this article:
Shi, G.L., Feng, Y.C., Wu, J.H., Li, X., Wang, Y.Q., Xue, Y.H. and Zhu, T. (2009). Source Identification of Polycyclic Aromatic Hydrocarbons in Urban Particulate Matter of Tangshan, China. Aerosol Air Qual. Res. 9: 309-315. https://doi.org/10.4209/aaqr.2008.12.0063


 

ABSTRACT


The presence of particle-associated polycyclic aromatic hydrocarbons (PAHs) was investigated in mixed residential/light industrial, industrial and commercial zones in summer 2000 and winter 2001 in Tangshan, China. Thirteen PAHs were measured with the total average concentrations (ng/m3) of PAHs ranged from 26.5 to 313.6 in summer and from 142.4 to 672.4 in winter. The average concentrations of ∑PAHs were 161.97 in summer and 326.80 in winter. PAH concentrations in mixed residential/light industrial zones were the lowest. Mixed residential/light industrial is a major land-use pattern in many cities in China. This study paid more attention to the source category in the mixed residential/light industrial zone. Particle PAH emissions may be contributed from industrial or domestic activities. Diagnostic ratio analysis, principal component analysis (PCA) and hierarchical clustering analysis (HCA) show major sources to be crude oil (by industrial activities mainly) in summer; and coal combustion (by domestic activities mainly) in winter. In addition, coal combustion was a principal source in the industrial zone. Traffic (combustion engine) was an important source in commercial zones.


Keywords: Particulate matter; Diagnostic ratios; Principal component analysis (PCA); Coefficient of divergence; Polycyclic aromatic hydrocarbons (PAH); Hierarchical clustering analysis (HCA)


Impact Factor: 2.735

5-Year Impact Factor: 2.827


SCImago Journal & Country Rank

Enter your email below to receive latest published articles in your field.