期刊
ATMOSPHERIC ENVIRONMENT
卷 148, 期 -, 页码 115-127出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.atmosenv.2016.10.055
关键词
Receptor modeling; PM2.5; PCA/APCS; PMF; CMB; PSCF; CWT; Busan
资金
- Basic Science Research Program through the National Research Foundation of Korea - Ministry of Science, ICT and Future Planning [2015R1A2A1A10053971]
- Korea Meteorological Administration Research and Development Program [KMIPA 2015-2050]
- National Research Foundation of Korea [2015R1A2A1A10053971] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
The contributions of various PM2.5 emission sources to ambient PM2.5 levels during 2013 in the main hub port city (Susan, South Korea) of East Asia was quantified using several receptor modeling techniques. Three receptor models of principal component analysis/absolute principal component score (PCA/APCS), positive matrix factorization (PMF), and chemical mass balance (CMB) were used to apportion the source of PM2.5 obtained from the target city. The results of the receptor models indicated that the secondary formation of PM2.5 was the dominant (45-60%) contributor to PM2.5 levels in the port city of Busan. The PMF and PCA/APCS suggested that ship emission was a non-negligible contributor of PM2.5 (up to about 10%) in the study area, whereas it was a negligible contributor based on CMB. The magnitude of source contribution estimates to PM2.5 levels differed significantly among these three models due to their limitations (e.g., PM2.5 emission source profiles and restrictions of the models). Potential source contribution function and concentration-weighted trajectory analyses indicated that long-range transport from sources in the eastern China and Yellow Sea contributed significantly to the level of PM2.5 in Busan. (C) 2016 Elsevier Ltd. All rights reserved.
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