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1000 Titel
  • The impacts of COVID-19, meteorology, and emission control policies on PM2.5 drops in Northeast Asia
1000 Autor/in
  1. Kang, Yoon-Hee |
  2. You, Seunghee |
  3. Bae, Minah |
  4. Kim, Eunhye |
  5. Son, Kyuwon |
  6. Bae, Changhan |
  7. Kim, Yoonha |
  8. Kim, Byeong-Uk |
  9. Kim, Hyun Cheol |
  10. Kim, Soontae |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-12-17
1000 Erschienen in
1000 Quellenangabe
  • 10:22112
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1038/s41598-020-79088-2 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7747715/ |
1000 Ergänzendes Material
  • https://www.nature.com/articles/s41598-020-79088-2#Sec13 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • In January 2020, anthropogenic emissions in Northeast Asia reduced due to the COVID-19 outbreak. When outdoor activities of the public were limited, PM2.5 concentrations in China and South Korea between February and March 2020 reduced by − 16.8 μg/m3 and − 9.9 μg/m3 respectively, compared with the average over the previous three years. This study uses air quality modeling and observations over the past four years to separate the influence of reductions in anthropogenic emissions from meteorological changes and emission control policies on this PM2.5 concentration change. Here, we show that the impacts of anthropogenic pollution reduction on PM2.5 were found to be approximately − 16% in China and − 21% in South Korea, while those of meteorology and emission policies were − 7% and − 8% in China, and − 5% and − 4% in South Korea, respectively. These results show that the influence on PM2.5 concentration differs across time and region and according to meteorological conditions and emission control policies. Finally, the influence of reductions in anthropogenic emissions was greater than that of meteorological conditions and emission policies during COVID-19 period.
1000 Sacherschließung
lokal Climate sciences
gnd 1206347392 COVID-19
lokal Environmental social sciences
lokal Environmental sciences
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/S2FuZywgWW9vbi1IZWU=|https://frl.publisso.de/adhoc/uri/WW91LCBTZXVuZ2hlZQ==|https://frl.publisso.de/adhoc/uri/QmFlLCBNaW5haA==|https://frl.publisso.de/adhoc/uri/S2ltLCBFdW5oeWU=|https://frl.publisso.de/adhoc/uri/U29uLCBLeXV3b24=|https://frl.publisso.de/adhoc/uri/QmFlLCBDaGFuZ2hhbg==|https://frl.publisso.de/adhoc/uri/S2ltLCBZb29uaGE=|https://frl.publisso.de/adhoc/uri/S2ltLCBCeWVvbmctVWs=|https://frl.publisso.de/adhoc/uri/S2ltLCBIeXVuIENoZW9s|https://frl.publisso.de/adhoc/uri/S2ltLCBTb29udGFl
1000 Label
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  1. Samsung Advanced Institute of Technology |
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  1. -
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1000 Dateien
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    1000 Förderer Samsung Advanced Institute of Technology |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 @id frl:6426017.rdf
1000 Erstellt am 2021-03-09T10:05:36.167+0100
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1000 Bearbeitet von 25
1000 Zuletzt bearbeitet Fri May 07 08:56:05 CEST 2021
1000 Objekt bearb. Fri May 07 08:55:53 CEST 2021
1000 Vgl. frl:6426017
1000 Oai Id
  1. oai:frl.publisso.de:frl:6426017 |
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