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최성득

Choi, Sung-Deuk
Environmental Analytical Chemistry Lab.
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dc.citation.endPage 103 -
dc.citation.number 1 -
dc.citation.startPage 90 -
dc.citation.title Journal of Korean Society for Atmospheric Environment -
dc.citation.volume 42 -
dc.contributor.author Lee, Ho-Young -
dc.contributor.author Lee, Sang-Jin -
dc.contributor.author Kim, Seong-Joon -
dc.contributor.author Go, Minji -
dc.contributor.author Lee, JiYi -
dc.contributor.author Choi, Sung-Deuk -
dc.date.accessioned 2026-04-20T10:00:25Z -
dc.date.available 2026-04-20T10:00:25Z -
dc.date.created 2026-04-17 -
dc.date.issued 2026-03 -
dc.description.abstract Organic compounds, such as polycyclic aromatic hydrocarbons (PAHs) and fatty acids (FAs), are emitted from specific sources and can serve as molecular markers for PM2.5 source apportionment. In this study, the characteristics and sources of PM₂.₅ and 57 associated organic species (OS) were investigated in Ulsan, Korea. The OS exhibited significant correlations with PM₂.₅ and organic carbon, indicating that they can serve as effective tracers of PM₂.₅ high-pollution episodes. FAs and n-alkanes were dominant in spring, reflecting mixed influences from industrial activities and biogenic emissions, whereas levoglucosan concentrations were elevated in fall, highlighting a strong impact of biomass burning. Positive Matrix Factorization (PMF) was applied under two scenarios: one using major PM₂.₅ components and the other incorporating both major components and organic species. The PMF results identified secondary inorganic aerosol as the largest contributor to PM₂.₅, followed by biomass burning, industrial activities, fossil fuel combustion, and natural sources. When 21 organic tracers were included, the PMF analysis further resolved secondary and primary organic aerosol sources and distinguished biomass-burning contributions into local and long-range transported sources. This source separation was further supported by diagnostic ratios of PAHs. Overall, these results demonstrate that integrating organic molecular markers into receptor modeling substantially improves PM2.5 source resolution and provides quantitative evidence for the combined effects of primary emissions, secondary formation, and regional transport in an industrialized coastal city. © 2026, Korean Society for Atmospheric Environment. All rights reserved. -
dc.identifier.bibliographicCitation Journal of Korean Society for Atmospheric Environment, v.42, no.1, pp.90 - 103 -
dc.identifier.doi 10.5572/KOSAE.2026.42.1.090 -
dc.identifier.issn 1598-7132 -
dc.identifier.scopusid 2-s2.0-105034900585 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/91367 -
dc.identifier.url https://jekosae.or.kr/_common/do.php?a=full&b=41&bidx=4385&aidx=48805 -
dc.language 한국어 -
dc.publisher Korean Society for Atmospheric Environment -
dc.title.alternative 울산 지역 PM2.5 유기성분 특성과 배출원 기여도 분석 -
dc.title Characterization of Organic Species in PM2.5 and Source Apportionment in Ulsan, Korea -
dc.type Article -
dc.description.isOpenAccess FALSE -
dc.identifier.kciid ART003316603 -
dc.type.docType Article -
dc.description.journalRegisteredClass scopus -
dc.description.journalRegisteredClass kci -
dc.subject.keywordAuthor Organic marker -
dc.subject.keywordAuthor Organic species -
dc.subject.keywordAuthor PM2.5 -
dc.subject.keywordAuthor Receptor model -
dc.subject.keywordAuthor Ulsan -

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