고농도 오염기간 잠재적 오염원에 따른 초미세먼지 농도와 화학성분 및 산성도의 공간적 분포 특성: 2018~2019년 국가대기측정망과 대기환경연구소 관측 결과를 중심으로

• Published in: 한국대기환경학회지(국문) Vol. 38; no. 4; pp. 508 - 523
• Main Authors: 변명화(Myounghwa Byun), 박재훈(Jaehun Park), 한수빈(Subin Han), 김대곤(Dae Gon Kim), 정동희(Dong-hee Jung), 최원식(Wonsik Choi)
• Format: Journal Article
• Language: Korean
• Published: 한국대기환경학회 01.08.2022
• Subjects: 대기과학; PSCF; 2.5< Acidity; Chemical composition; PM< Clustering; SUB&gt
• ISSN: 1598-7132; 2383-5346
• DOI: 10.5572/KOSAE.2022.38.4.508

In this study, nationwide air quality monitoring stations were classified into three groups by the hierarchical clustering method with PM2.5 time-series for high PM2.5 pollution periods of 2018~2019. In this way, we grouped the regions with similar PM2.5 variations. Then, we allocated the locations of 6 supersites for PM2.5 chemical composition measurements (operated by the National Institute of Environmental Research) into three clustered groups to investigate the differences in chemical compositions, potential source contribution regions, and aerosol acidity. For three high PM2.5 pollution periods, potential source regions contributing to each supersite (and supersite groups) did not differ significantly. However, chemical compositions and acidity of PM2.5 varied significantly among supersites (even among supersites grouped as the same cluster with similar PM2.5 time-series). Our findings suggest that local emissions of precursors play an important role in regional secondary PM2.5 formation, although PM2.5 mass concentration variations were controlled by synoptic weather conditions. Particularly, aerosol acidity seems to be affected by regional ammonia emissions, which has important implications because acidity affects aerosol hygroscopicity and thus the formation of secondary organic/inorganic aerosols. KCI Citation Count: 3