File Download

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
Related Researcher

송창근

Song, Chang-Keun
Air Quality Impact Assessment Research Lab.
Read More

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Full metadata record

DC Field Value Language
dc.citation.startPage 163524 -
dc.citation.title SCIENCE OF THE TOTAL ENVIRONMENT -
dc.citation.volume 881 -
dc.contributor.author Cha, Yesol -
dc.contributor.author Song, Chang-Keun -
dc.contributor.author Jeon, Kwon-ho -
dc.contributor.author Yi, Seung-Muk -
dc.date.accessioned 2023-12-21T11:54:34Z -
dc.date.available 2023-12-21T11:54:34Z -
dc.date.created 2023-04-19 -
dc.date.issued 2023-07 -
dc.description.abstract This study used observational data and a chemical transport model to investigate the contributions of several factors to the recent change in air quality in China and South Korea from 2016 to 2020. We focused on observational data analysis, which could reflect the annual trend of emission reduction and adjust existing emission amounts to apply it into a chemical transport model. The observation data showed that the particulate matter (PM2.5) concentrations during winter 2020 decreased by −23.4 % (−14.68 μg/m3) and − 19.5 % (−5.73 μg/m3) in China and South Korea respectively, compared with that during winter 2016. Meteorological changes, the existing national plan for a long-term emission reduction target, and unexpected events (i.e., Coronavirus disease 2019 (COVID-19) in China and South Korea and the newly introduced special winter countermeasures in South Korea from 2020) are considered major factors that may affect the recent change in air quality. The impact of different meteorological conditions on PM2.5 concentrations was assessed by conducting model simulations by fixing the emission amounts; the results indicated changes of +7.6 % (+4.77 μg/m3) and + 9.7 % (+2.87 μg/m3) in China and South Korea, respectively, during winter 2020 compared to that during winter 2016. Due to the existing and pre-defined long-term emission control policies implemented in both countries, PM2.5 concentration significantly decreased from winter 2016–2020 in China (−26.0 %; −16.32 μg/m3) and South Korea (−9.1 %; −2.69 μg/m3). The unexpected COVID-19 outbreak caused the PM2.5 concentrations in China to decrease during winter 2020 by another −5.0 % (−3.13 μg/m3). In South Korea, the winter season special reduction policy, which was introduced and implemented in winter 2020, and the COVID-19 pandemic may have contributed to −19.5 % (−5.92 μg/m3) decrease in PM2.5 concentrations. -
dc.identifier.bibliographicCitation SCIENCE OF THE TOTAL ENVIRONMENT, v.881, pp.163524 -
dc.identifier.doi 10.1016/j.scitotenv.2023.163524 -
dc.identifier.issn 0048-9697 -
dc.identifier.scopusid 2-s2.0-85152895560 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/63995 -
dc.identifier.wosid 000986062100001 -
dc.language 영어 -
dc.publisher Elsevier BV -
dc.title Factors affecting recent PM2.5 concentrations in China and South Korea from 2016 to 2020 -
dc.type Article -
dc.description.isOpenAccess TRUE -
dc.relation.journalWebOfScienceCategory Environmental Sciences -
dc.relation.journalResearchArea Environmental Sciences & Ecology -
dc.type.docType Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor Particulate matter -
dc.subject.keywordAuthor Emission control policy -
dc.subject.keywordAuthor Meteorology -
dc.subject.keywordAuthor COVID-19 -
dc.subject.keywordPlus LONG-RANGE TRANSPORT -
dc.subject.keywordPlus URBAN AIR-QUALITY -
dc.subject.keywordPlus PARTICULATE MATTER -
dc.subject.keywordPlus EMISSION INVENTORY -
dc.subject.keywordPlus POLLUTION -
dc.subject.keywordPlus SEOUL -
dc.subject.keywordPlus METEOROLOGY -
dc.subject.keywordPlus POLLUTANTS -
dc.subject.keywordPlus MODEL -
dc.subject.keywordPlus UNCERTAINTY -

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.