Horng-Yu Yang1, Yu-Lun Tseng2, Hsueh-Lung Chuang2, Tsung-Chang Li2, Chung-Shin Yuan 3, James J. Lee3

  • 1 Department of Civil Engineering, China University of Science and Technology, Taipei 11581, Taiwan
  • 2 Institute of Environmental Engineering, National Sun Yat-Sen University, Kaohsiung 80424, Taiwan
  • 3 Department of Safety, Health and Environmental Engineering, National Yunlin University of Science and Technology, Yunlin 64002, Taiwan

Received: April 6, 2016
Revised: October 14, 2016
Accepted: October 17, 2016
Download Citation: ||https://doi.org/10.4209/aaqr.2016.03.0102  

Cite this article:
Yang, H.Y., Tseng, Y.L., Chuang, H.L., Li, T.C., Yuan, C.S. and Lee, J.J. (2017). Chemical Fingerprint and Source Identification of Atmospheric Fine Particles Sampled at Three Environments at the Tip of Southern Taiwan. Aerosol Air Qual. Res. 17: 529-542. https://doi.org/10.4209/aaqr.2016.03.0102


  • Sampling of PM2.5 in three different type site and relevant coastal regions.
  • Biomass burning were occurred at southern coastal regions of Taiwan.
  • K+/Levo ratio played a much more useful indicator of sources identification.
  • The concentration of PM2.5 varied well with the prevailing wind direction.



The spatiotemporal variation, chemical fingerprints, transportation routes, and source apportionment of atmospheric fine particles (PM2.5) along the coastal region of southern Taiwan were investigated at three environments in the tip of southern Taiwan. Three representative sampling sites at Chien-Chin (urban site), Siao-Gang (industrial site) and Che-Cheng (background site) were selected for simultaneous PM2.5 sampling from December 2014 to May 2015. Regular sampling of 24-h PM2.5 was conducted for continuous 6–9 days in each month. After sampling, the chemical composition, including water-soluble ions, metallic elements and the carbonaceous content of PM2.5, was further analyzed within two weeks. The levoglucosan concentration was further compared to OC and K+ in PM2.5 originating from biomass burning. Moreover, the potential sources of PM2.5 and their respective contribution were further resolved by backward trajectory simulation, combined with chemical mass balance (CMB) receptor modeling. The field sampling results indicated that the PM2.5 concentrations at the urban and industrial sites were always higher than those at the background site. The most abundant water-soluble ionic species of PM2.5 are SO42–, NO3 and NH4+, implying that PM2.5 is mainly composed of secondary ammonium sulfate and ammonium nitrate. The most abundant metallic elements of PM2.5 included crustal elements (Al, Fe and Ca) and anthropogenic (generated by humans) elements (V, Ni, As, Cd, Zn and Pb). Moreover, the concentrations of OC and EC at the Chien-Chin and Siao-Gang sites were generally higher than those at the Che-Cheng site, mainly due to the emissions from urban and industrial anthropogenic sources. Vehicular exhausts and industrial emissions were the main sources of PM2.5 at the Chien-Chin and Siao-Gang sites, respectively, while biomass burning and soil dusts were the dominant sources of PM2.5 at the Che-Cheng site.

Keywords: Atmospheric fine particles (PM2.5); Chemical fingerprint; Spatiotemporal variation; Source identification

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