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NTIS 바로가기대기 = Atmosphere, v.31 no.1, 2021년, pp.29 - 43
최다니엘 (부산대학교 지구환경시스템학부 대기환경과학과) , 장임석 (국립환경과학원 기후대기연구부) , 김철희 (부산대학교 지구환경시스템학부 대기환경과학과)
In this study, two-step statistical approach including Principal Component Analysis (PCA) and Multiple Linear Regression (MLR) was employed, and main meteorological factors explaining the high-PM2.5 episodes were identified in two regions: Seoul and Busan. We first performed PCA to isolate the Princ...
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