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
Subjects
Online AccessGet full text
ISSN2672-0175
2672-1139

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Abstract 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
AbstractList 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
Author Hee-jin Choi
Hee-jung Lim
박혜영
Bo-ram Lee
이보람
배민석
최희진
임희정
김학림
Gui-hwan Park
전두영
Hak-rim Kim
박현수
Ik-san Kim
Hye-young Park
박찬오
Min-suk Bae
박귀환
김익산
Hyun-su Park
Chan-o Park
Doo-young Jeon
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Source Assessment of PM-2.5 in the Residential Areas ofGwangyang Bay using Source Apportionment Model(II)
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Source Apportionment Model
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화학
Title 수용모델을 이용한 광양만권 주거지역 대기 중 초미세먼지발생원 기여도 평가(II)
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