Diurnal and weekly patterns of primary pollutants in Beijing under COVID-19 restrictions.
Identifieur interne : 001F56 ( Main/Exploration ); précédent : 001F55; suivant : 001F57Diurnal and weekly patterns of primary pollutants in Beijing under COVID-19 restrictions.
Auteurs : Peter Brimblecombe [Taïwan] ; Yonghang Lai [Hong Kong]Source :
- Faraday discussions [ 1364-5498 ] ; 2020.
Abstract
Restrictions on movement in Beijing to limit the COVID-19 epidemic tended to reduce the emissions of primary pollutants. However, changes in pollutant concentrations are also affected by chemical transformation and meteorology. Decreases in concentrations were also not as obvious in Beijing when compared with Hubei Province, where lockdown was especially strict. Declines in concentrations between 2019 and 2020 are evident for both NO2 (37.0 to 26.2 μg m-3) and SO2 (5.86 to 4.15 μg m-3), but there was little evidence of change for PM2.5 (50.0 to 53.8 μg m-3) and CO (0.71 to 0.74 mg m-3). Despite this, Fourier analysis revealed that the weekly cycle of PM2.5 evident in 2019 was not apparent in 2020. In 2019, CO showed both diurnal and weekly signals, but these were absent under the restrictions of 2020. This suggests that while concentrations may remain relatively constant, the temporal distribution of pollutants can show subtle changes under restrictions imposed in attempts to limit the spread of the coronavirus.
DOI: 10.1039/d0fd00082e
PubMed: 33241802
Affiliations:
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However, changes in pollutant concentrations are also affected by chemical transformation and meteorology. Decreases in concentrations were also not as obvious in Beijing when compared with Hubei Province, where lockdown was especially strict. Declines in concentrations between 2019 and 2020 are evident for both NO2 (37.0 to 26.2 μg m-3) and SO2 (5.86 to 4.15 μg m-3), but there was little evidence of change for PM2.5 (50.0 to 53.8 μg m-3) and CO (0.71 to 0.74 mg m-3). Despite this, Fourier analysis revealed that the weekly cycle of PM2.5 evident in 2019 was not apparent in 2020. In 2019, CO showed both diurnal and weekly signals, but these were absent under the restrictions of 2020. This suggests that while concentrations may remain relatively constant, the temporal distribution of pollutants can show subtle changes under restrictions imposed in attempts to limit the spread of the coronavirus.</div></front></TEI><pubmed><MedlineCitation Status="Publisher" Owner="NLM"><PMID Version="1">33241802</PMID><DateRevised><Year>2020</Year><Month>11</Month><Day>26</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1364-5498</ISSN><JournalIssue CitedMedium="Internet"><PubDate><Year>2020</Year><Month>Nov</Month><Day>26</Day></PubDate></JournalIssue><Title>Faraday discussions</Title><ISOAbbreviation>Faraday Discuss</ISOAbbreviation></Journal><ArticleTitle>Diurnal and weekly patterns of primary pollutants in Beijing under COVID-19 restrictions.</ArticleTitle><ELocationID EIdType="doi" ValidYN="Y">10.1039/d0fd00082e</ELocationID><Abstract><AbstractText>Restrictions on movement in Beijing to limit the COVID-19 epidemic tended to reduce the emissions of primary pollutants. However, changes in pollutant concentrations are also affected by chemical transformation and meteorology. Decreases in concentrations were also not as obvious in Beijing when compared with Hubei Province, where lockdown was especially strict. Declines in concentrations between 2019 and 2020 are evident for both NO2 (37.0 to 26.2 μg m-3) and SO2 (5.86 to 4.15 μg m-3), but there was little evidence of change for PM2.5 (50.0 to 53.8 μg m-3) and CO (0.71 to 0.74 mg m-3). Despite this, Fourier analysis revealed that the weekly cycle of PM2.5 evident in 2019 was not apparent in 2020. In 2019, CO showed both diurnal and weekly signals, but these were absent under the restrictions of 2020. This suggests that while concentrations may remain relatively constant, the temporal distribution of pollutants can show subtle changes under restrictions imposed in attempts to limit the spread of the coronavirus.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Brimblecombe</LastName><ForeName>Peter</ForeName><Initials>P</Initials><Identifier Source="ORCID">http://orcid.org/0000-0002-2233-8761</Identifier><AffiliationInfo><Affiliation>Department of Marine Environment and Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan. p.brimblecombe@uea.ac.uk and Aerosol Science Research Center, National Sun Yat-Sen University, Kaohsiung, Taiwan.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lai</LastName><ForeName>Yonghang</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>School of Energy and Environment, City University of Hong Kong, Hong Kong.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>11</Month><Day>26</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Faraday Discuss</MedlineTA><NlmUniqueID>9212301</NlmUniqueID><ISSNLinking>1359-6640</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>11</Month><Day>26</Day><Hour>8</Hour><Minute>44</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>11</Month><Day>27</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>11</Month><Day>27</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>aheadofprint</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">33241802</ArticleId><ArticleId IdType="doi">10.1039/d0fd00082e</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Hong Kong</li><li>Taïwan</li></country></list><tree><country name="Taïwan"><noRegion><name sortKey="Brimblecombe, Peter" sort="Brimblecombe, Peter" uniqKey="Brimblecombe P" first="Peter" last="Brimblecombe">Peter Brimblecombe</name></noRegion></country><country name="Hong Kong"><noRegion><name sortKey="Lai, Yonghang" sort="Lai, Yonghang" uniqKey="Lai Y" first="Yonghang" last="Lai">Yonghang Lai</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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