Regional source apportionment of PM2.5 in Seoul using Bayesian multivariate receptor model
- 주제(키워드) air pollution , Bayesian analysis , factor analysis , Markov chain Monte Carlo , particulate matter
- 등재 SCIE, SCOPUS
- 발행기관 Taylor and Francis Ltd.
- 발행년도 2022
- 총서유형 Journal
- URI http://www.dcollection.net/handler/ewha/000000193423
- 본문언어 영어
- Published As https://doi.org/10.1080/02664763.2020.1822305
초록/요약
Seoul, the capital city of Korea with over 10 million residents, has been experiencing serious air pollution problems. Previous studies on source apportionment of PM2.5 in Seoul are based on measurements of chemical compositions of PM2.5 from a single monitoring site. In this paper, we analyse PM2.5 concentration data collected from multiple sites in 24 districts of Seoul and estimate regional source profiles using Bayesian multivariate receptor model. The regional source profiles provide information for the identification of major PM2.5 sources as well as the regions relatively more seriously affected by each source than other regions. These regional characteristics relevant to PM2.5 can help establish effective, customised, region-specific PM2.5 control strategies for each region rather than general strategies that apply to every region of Seoul. © 2020 Informa UK Limited, trading as Taylor & Francis Group.
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