수용모델을 이용한 광양만권 주거지역 대기 중 초미세먼지발생원 기여도 평가(II)

The source contributions in PM-2.5 were investigated in two residential areas (i.e., Yeosu and Suncheon of Gwangyang Bay) using a source apportionment model. As a result, eight sources have been identified such as secondary sulfate (31%), mobile (16.8%), secondary nitrate (15.9%), soil and road emis...

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Published in환경분석과 독성보건 Vol. 25; no. 1; pp. 18 - 32
Main Authors 박혜영, Hye-young Park, 박현수, Hyun-su Park, 이보람, Bo-ram Lee, 최희진, Hee-jin Choi, 김학림, Hak-rim Kim, 임희정, Hee-jung Lim, 박찬오, Chan-o Park, 김익산, Ik-san Kim, 박귀환, Gui-hwan Park, 전두영, Doo-young Jeon, 배민석, Min-suk Bae
Format Journal Article
LanguageKorean
Published 한국환경분석학회 31.03.2022
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ISSN2672-0175
2672-1139

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Summary:The source contributions in PM-2.5 were investigated in two residential areas (i.e., Yeosu and Suncheon of Gwangyang Bay) using a source apportionment model. As a result, eight sources have been identified such as secondary sulfate (31%), mobile (16.8%), secondary nitrate (15.9%), soil and road emission (15.2%), biomass burning (11.5%), oil combustion (4.2%), coal combustion (3.7%), and industry activity (1.7%) in the Yeosu area. In the Suncheon area, secondary sulfate (27.3%), biomass burning (16.4%), and secondary nitrate (15.3%) were investigated as the major sources. Clustering of the trajectories revealed dominant wind patterns associated with high concentrations due to long range transport. In conclusion, this study shows that the source apportionment model yields results for identifying pollutant sources in two receptor locations. KCI Citation Count: 0
Bibliography:The Korea Society For Environmental Analysis
ISSN:2672-0175
2672-1139