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Volume 17, No. 3, March 2017, Pages 776-787 PDF(1.52 MB)  
doi: 10.4209/aaqr.2016.11.0482   

Distribution and Sources of Atmospheric Polycyclic Aromatic Hydrocarbons at an Industrial Region in Kaohsiung, Taiwan

Yi-Chieh Lai1,2, Cheng-Hsien Tsai3, Ying-Liang Chen4, Guo-Ping Chang-Chien2,5

1 Department of Civil Engineering and Geomatics, Cheng-Shiu University, Kaohsiung 833, Taiwan
2 Super Micro Mass Research and Technology Center, Cheng-Shiu University, Kaohsiung 833, Taiwan
3 Department of Chemical and Materials Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung 807, Taiwan
4 Department of Environmental Engineering, National Cheng Kung University, Tainan 701, Taiwan
5 Department of Cosmetic and Fashion Styling, Cheng-Shiu University, Kaohsiung 833, Taiwan

 

Highlights
  • CMB receptor model was applied for source apportionment.
  • Total BaP equivalent concentrations were higher in cold season than in warm summer.
  • Gaseous PAHs decreased when increasing molecular weight or ring number.
  • Mobile and stationary sources were major contributors to PAHs in southern Taiwan.

Abstract

 

The chemical mass balance model was applied to estimate the major sources of atmospheric polycyclic aromatic hydrocarbons (PAHs) at an Industrial Region in Kaohsiung, Taiwan. The gaseous and particulate phases of 16 individual compounds were analyzed between March 2012 and August 2012. The mean total concentrations and total BaPeq were higher during the cold season and lower during the warm summer, with gaseous PAHs predominant at all sites. Low weight-PAHs and median weight-PAHs were found predominantly in the gaseous phase, while high weight-PAHs were predominant in the particle phase. Results from the receptor model revealed that the average contributions were 38.2%, 27.2%, 20.7%, 6.8%, 5.2%, and 2.0% from vehicles, heavy oil combustion, natural gas combustion, incinerator, tetrabromobisphenol A production, and diesel combustion at the seven receptors, respectively. Vehicle emissions appear to be the significant source of PAHs in the investigated area, although other industrial sources, as described above, also have an impact on the total PAHs.

 

 

Keywords: PAHs; Source apportionment; Receptor modeling; CMB.

 

 

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