한국에서의 PMF Source Profiles 리뷰를 기반으로 분석한 울산 2020년 PM2.5 배출원 및 변동 특성

• Published in: 한국대기환경학회지(국문) Vol. 39; no. 1; pp. 42 - 61
• Main Authors: 박재훈(Jaehun Park), 박용미(Yongmi Park), 한수빈(Subin Han), 변명화(Myounghwa Byun), 이태훈(Taehun Lee), 손윤석(Youn-suk Son), 이그림(Greem Lee), 강현정(Hyun-Jung Kang), 김효선(Hyo-Seon Kim), 박대용(Dae-Yong Park), 최원식(Wonsik Choi)
• Format: Journal Article
• Language: Korean
• Published: 한국대기환경학회 01.02.2023
• Subjects: 대기과학; Source contribution; EPA-PMF; Receptor models; PM< SUB> 2.5&lt
• ISSN: 1598-7132; 2383-5346
• DOI: 10.5572/KOSAE.2023.39.1.42

Ten averaged source profiles with variations were determined by reconstructing source profiles from previous studies in Korea to reduce uncertainty in identifying sources in PMF modeling. The reconstructed source profiles were applied to EPA-PMF modeling with observations at the Yeongnam supersite (Yeongnam region Air Quality Research Center) in 2020. Eight sources (sea salt, soil, coal combustion, oil combustion, traffic, industry, secondary sulfate, ‘secondary nitrate and biomass burning’) were successfully identified except for one source (Cu & Br related). The most contributing source to PM2.5 annually in Ulsan in 2020 was secondary nitrate and biomass burning (5.29 μg . m-3, 40.7%), followed by secondary sulfate (3.10 μg . m-3, 23.9%) and traffic (0.98 μg . m-3, 7.5%). In summer, secondary sulfate contributed most significantly to PM2.5 concentration (41.1%) as expected. However, secondary nitrate and biomass burning were dominant in most seasons (32.6% in spring, 43.4% in autumn, and 58.0% in winter). Compared to the previous PMF results obtained at the same site in 2016, the contribution of secondary nitrate increased significantly up to 10.7%. This finding suggests that the role of nitrate in PM2.5 formation has possibly increased recently, and thus the nitrate formation mechanism should be elucidated to mitigate PM2.5 levels in the southeastern coastal region of Korea. In addition, we expect that the findings of this study can provide a basis to determine the sources in PMF modeling, in which the researcher’s subjectivity can intervene. KCI Citation Count: 0