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송창근

Song, Chang-Keun
Air Quality Impact Assessment Research Lab.
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DC Field Value Language
dc.citation.conferencePlace KO -
dc.citation.conferencePlace 부산항국제전시컨벤션센터 -
dc.citation.title 2023 한국대기환경학회 추계학술대회 -
dc.contributor.author 이상진 -
dc.contributor.author 주정태 -
dc.contributor.author 이종재 -
dc.contributor.author Song, Chang-Keun -
dc.contributor.author 신선아 -
dc.contributor.author 정해진 -
dc.contributor.author 신혜정 -
dc.contributor.author Choi, Sung-Deuk -
dc.date.accessioned 2023-12-22T20:05:09Z -
dc.date.available 2023-12-22T20:05:09Z -
dc.date.created 2023-12-22 -
dc.date.issued 2023-10-27 -
dc.identifier.bibliographicCitation 2023 한국대기환경학회 추계학술대회 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/67094 -
dc.language 한국어 -
dc.publisher 한국대기환경학회 -
dc.title.alternative Nationwide Mapping of the Concentrations of Sulfate and Nitrate in PM2.5 Using Machine Learning with Ground Observation Data -
dc.title 지상관측과 기계학습을 활용한 전국 PM2.5 2차 무기이온 성분 분포지도 작성 -
dc.type Conference Paper -
dc.date.conferenceDate 2023-10-25 -

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