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Source Identification of Ambient Size-by-Size Particulate Using the Positive Matrix Factorization Model on the Border of Yongin and Suwon

2009; Korean Society for Atmospheric Environment; Volume: 25; Issue: 2 Linguagem: Inglês

10.5572/kosae.2009.25.2.108

2383-5346

Mi-Seok Oh, Tae-Jung Lee, Dong-Sool Kim,

Air Quality and Health Impacts

The suspended particulate matters have been collected on membrane filters and glass fiber filters by an 8-stage cascade impactor for 2 years (Sep. 2005 ${\sim}$ Sep. 2007) in Kyung Hee University-Global Campus located on the border of Yongin and Suwon. The 20 chemical species (Al, Mn, Si, Fe, Cu, Pb, Cr, Ni, V, Cd, Ba, $Na^+$ , ${NH_4}^+$ , $K^+$ , $Mg^{2+}$ , $Ca^{2+}$ , $Cl^-$ , ${NO_3}^-$ , and ${SO_4}^{2-}$ ) were analyzed by an ICP-AES and an IC after performing proper pre-treatments of each sample filter. Based on these chemical information, the PMF receptor model was applied to identify the source of ambient size-by-size particulate matters. The receptor modeling is the one of the statistical methods to achieve resonable air pollution management strategies. A total of 10 sources was identified in 9 size-ranges such as long-range transport, secondary aerosol, $NH_{4}NO_{3}$ related source, coal combustion, sea-salt, soil, oil combustion, auto emission, incineration, and biomass burning. Especially, the secondary aerosol source assorted in fine and coarse modes was intensively studied.