Drivers for the poor air quality conditions in North China Plain during the COVID-19 outbreak.
Identifieur interne : 000A43 ( Main/Corpus ); précédent : 000A42; suivant : 000A44Drivers for the poor air quality conditions in North China Plain during the COVID-19 outbreak.
Auteurs : Mengmeng Li ; Tijian Wang ; Min Xie ; Shu Li ; Bingliang Zhuang ; Qingyan Fu ; Ming Zhao ; Hao Wu ; Jane Liu ; Eri Saikawa ; Kuo LiaoSource :
- Atmospheric environment (Oxford, England : 1994) [ 1352-2310 ] ; 2021.
Abstract
China's lockdown to control COVID-19 brought significant declines in air pollutant emissions, but haze was still a serious problem in North China Plain (NCP) during late-January to mid-February of 2020. We seek the potential causes for the poor air quality in NCP combining satellite data, ground measurements and model analyses. Efforts to constrain COVID-19 result in a drop-off of primary gaseous pollutants, e.g., -42.4% for surface nitrogen dioxide (NO2) and -38.9% for tropospheric NO2 column, but fine particulate matter (PM25) still remains high and ozone (O3) even increases sharply (+84.1%). Stagnant weather during COVID-19 outbreak, e.g., persistent low wind speed, frequent temperature inversion and wind convergence, is one of the major drivers for the poor air quality in NCP. The surface PM2.5 levels vary between -12.9~+15.1% in NCP driven by the varying climate conditions between the years 2000 and 2020. Besides, the persistent PM2.5 pollution might be maintained by the still intensive industrial and residential emissions (primary PM2.5), and increased atmospheric oxidants (+26.1% for ozone and +29.4% for hydroxyl radical) in response to the NO2 decline (secondary PM2.5). Further understanding the nonlinear response between atmospheric secondary aerosols and NOx emissions is meaningful to cope with the emerging air pollution problems in China.
DOI: 10.1016/j.atmosenv.2020.118103
PubMed: 33250658
PubMed Central: PMC7686771
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uniqKey="Li S" first="Shu" last="Li">Shu Li</name><affiliation><nlm:affiliation>School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China.</nlm:affiliation></affiliation></author><author><name sortKey="Zhuang, Bingliang" sort="Zhuang, Bingliang" uniqKey="Zhuang B" first="Bingliang" last="Zhuang">Bingliang Zhuang</name><affiliation><nlm:affiliation>School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China.</nlm:affiliation></affiliation></author><author><name sortKey="Fu, Qingyan" sort="Fu, Qingyan" uniqKey="Fu Q" first="Qingyan" last="Fu">Qingyan Fu</name><affiliation><nlm:affiliation>Shanghai Environmental Monitoring Center, Shanghai, 200030, China.</nlm:affiliation></affiliation></author><author><name sortKey="Zhao, Ming" sort="Zhao, Ming" uniqKey="Zhao M" first="Ming" last="Zhao">Ming Zhao</name><affiliation><nlm:affiliation>School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China.</nlm:affiliation></affiliation></author><author><name sortKey="Wu, Hao" sort="Wu, Hao" uniqKey="Wu H" first="Hao" last="Wu">Hao Wu</name><affiliation><nlm:affiliation>School of Environment, Nanjing University, Nanjing, 210023, China.</nlm:affiliation></affiliation></author><author><name sortKey="Liu, Jane" sort="Liu, Jane" uniqKey="Liu J" first="Jane" last="Liu">Jane Liu</name><affiliation><nlm:affiliation>School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>Department of Geography and Planning, University of Toronto, Toronto, Canada.</nlm:affiliation></affiliation></author><author><name sortKey="Saikawa, Eri" sort="Saikawa, Eri" uniqKey="Saikawa E" first="Eri" last="Saikawa">Eri Saikawa</name><affiliation><nlm:affiliation>Department of Environmental Sciences, Emory University, Atlanta, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Liao, Kuo" sort="Liao, Kuo" uniqKey="Liao 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China.</nlm:affiliation></affiliation></author><author><name sortKey="Wang, Tijian" sort="Wang, Tijian" uniqKey="Wang T" first="Tijian" last="Wang">Tijian Wang</name><affiliation><nlm:affiliation>School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China.</nlm:affiliation></affiliation></author><author><name sortKey="Xie, Min" sort="Xie, Min" uniqKey="Xie M" first="Min" last="Xie">Min Xie</name><affiliation><nlm:affiliation>School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China.</nlm:affiliation></affiliation></author><author><name sortKey="Li, Shu" sort="Li, Shu" uniqKey="Li S" first="Shu" last="Li">Shu Li</name><affiliation><nlm:affiliation>School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China.</nlm:affiliation></affiliation></author><author><name sortKey="Zhuang, Bingliang" sort="Zhuang, Bingliang" uniqKey="Zhuang B" first="Bingliang" last="Zhuang">Bingliang Zhuang</name><affiliation><nlm:affiliation>School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China.</nlm:affiliation></affiliation></author><author><name sortKey="Fu, Qingyan" sort="Fu, Qingyan" uniqKey="Fu Q" first="Qingyan" last="Fu">Qingyan Fu</name><affiliation><nlm:affiliation>Shanghai Environmental Monitoring Center, Shanghai, 200030, China.</nlm:affiliation></affiliation></author><author><name sortKey="Zhao, Ming" sort="Zhao, Ming" uniqKey="Zhao M" first="Ming" last="Zhao">Ming Zhao</name><affiliation><nlm:affiliation>School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China.</nlm:affiliation></affiliation></author><author><name sortKey="Wu, Hao" sort="Wu, Hao" uniqKey="Wu H" first="Hao" last="Wu">Hao Wu</name><affiliation><nlm:affiliation>School of Environment, Nanjing University, Nanjing, 210023, China.</nlm:affiliation></affiliation></author><author><name sortKey="Liu, Jane" sort="Liu, Jane" uniqKey="Liu J" first="Jane" last="Liu">Jane Liu</name><affiliation><nlm:affiliation>School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>Department of Geography and Planning, University of Toronto, Toronto, Canada.</nlm:affiliation></affiliation></author><author><name sortKey="Saikawa, Eri" sort="Saikawa, Eri" uniqKey="Saikawa E" first="Eri" last="Saikawa">Eri Saikawa</name><affiliation><nlm:affiliation>Department of Environmental Sciences, Emory University, Atlanta, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Liao, Kuo" sort="Liao, Kuo" uniqKey="Liao K" first="Kuo" last="Liao">Kuo Liao</name><affiliation><nlm:affiliation>Fujian Meteorological Institute, Fuzhou, 350001, China.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Atmospheric environment (Oxford, England : 1994)</title><idno type="ISSN">1352-2310</idno><imprint><date when="2021" type="published">2021</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">China's lockdown to control COVID-19 brought significant declines in air pollutant emissions, but haze was still a serious problem in North China Plain (NCP) during late-January to mid-February of 2020. We seek the potential causes for the poor air quality in NCP combining satellite data, ground measurements and model analyses. Efforts to constrain COVID-19 result in a drop-off of primary gaseous pollutants, e.g., -42.4% for surface nitrogen dioxide (NO<sub>2</sub>) and -38.9% for tropospheric NO<sub>2</sub> column, but fine particulate matter (PM<sub>25</sub>) still remains high and ozone (O<sub>3</sub>) even increases sharply (+84.1%). Stagnant weather during COVID-19 outbreak, e.g., persistent low wind speed, frequent temperature inversion and wind convergence, is one of the major drivers for the poor air quality in NCP. The surface PM<sub>2.5</sub> levels vary between -12.9~+15.1% in NCP driven by the varying climate conditions between the years 2000 and 2020. Besides, the persistent PM<sub>2.5</sub> pollution might be maintained by the still intensive industrial and residential emissions (primary PM<sub>2.5</sub>), and increased atmospheric oxidants (+26.1% for ozone and +29.4% for hydroxyl radical) in response to the NO<sub>2</sub> decline (secondary PM<sub>2.5</sub>). Further understanding the nonlinear response between atmospheric secondary aerosols and NO<sub>x</sub> emissions is meaningful to cope with the emerging air pollution problems in China.</div></front></TEI><pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">33250658</PMID><DateRevised><Year>2021</Year><Month>01</Month><Day>22</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Print">1352-2310</ISSN><JournalIssue CitedMedium="Print"><Volume>246</Volume><PubDate><Year>2021</Year><Month>Feb</Month><Day>01</Day></PubDate></JournalIssue><Title>Atmospheric environment (Oxford, England : 1994)</Title><ISOAbbreviation>Atmos Environ (1994)</ISOAbbreviation></Journal><ArticleTitle>Drivers for the poor air quality conditions in North China Plain during the COVID-19 outbreak.</ArticleTitle><Pagination><MedlinePgn>118103</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.atmosenv.2020.118103</ELocationID><Abstract><AbstractText>China's lockdown to control COVID-19 brought significant declines in air pollutant emissions, but haze was still a serious problem in North China Plain (NCP) during late-January to mid-February of 2020. We seek the potential causes for the poor air quality in NCP combining satellite data, ground measurements and model analyses. Efforts to constrain COVID-19 result in a drop-off of primary gaseous pollutants, e.g., -42.4% for surface nitrogen dioxide (NO<sub>2</sub>) and -38.9% for tropospheric NO<sub>2</sub> column, but fine particulate matter (PM<sub>25</sub>) still remains high and ozone (O<sub>3</sub>) even increases sharply (+84.1%). Stagnant weather during COVID-19 outbreak, e.g., persistent low wind speed, frequent temperature inversion and wind convergence, is one of the major drivers for the poor air quality in NCP. The surface PM<sub>2.5</sub> levels vary between -12.9~+15.1% in NCP driven by the varying climate conditions between the years 2000 and 2020. Besides, the persistent PM<sub>2.5</sub> pollution might be maintained by the still intensive industrial and residential emissions (primary PM<sub>2.5</sub>), and increased atmospheric oxidants (+26.1% for ozone and +29.4% for hydroxyl radical) in response to the NO<sub>2</sub> decline (secondary PM<sub>2.5</sub>). Further understanding the nonlinear response between atmospheric secondary aerosols and NO<sub>x</sub> emissions is meaningful to cope with the emerging air pollution problems in China.</AbstractText><CopyrightInformation>© 2020 Elsevier Ltd. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Li</LastName><ForeName>Mengmeng</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wang</LastName><ForeName>Tijian</ForeName><Initials>T</Initials><AffiliationInfo><Affiliation>School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Xie</LastName><ForeName>Min</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Li</LastName><ForeName>Shu</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhuang</LastName><ForeName>Bingliang</ForeName><Initials>B</Initials><AffiliationInfo><Affiliation>School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Fu</LastName><ForeName>Qingyan</ForeName><Initials>Q</Initials><AffiliationInfo><Affiliation>Shanghai Environmental Monitoring Center, Shanghai, 200030, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhao</LastName><ForeName>Ming</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wu</LastName><ForeName>Hao</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>School of Environment, Nanjing University, Nanjing, 210023, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Liu</LastName><ForeName>Jane</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Department of Geography and Planning, University of Toronto, Toronto, Canada.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Saikawa</LastName><ForeName>Eri</ForeName><Initials>E</Initials><AffiliationInfo><Affiliation>Department of Environmental Sciences, Emory University, Atlanta, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Liao</LastName><ForeName>Kuo</ForeName><Initials>K</Initials><AffiliationInfo><Affiliation>Fujian Meteorological Institute, Fuzhou, 350001, China.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><DataBankList CompleteYN="Y"><DataBank><DataBankName>figshare</DataBankName><AccessionNumberList><AccessionNumber>10.6084/m9.figshare.12449663.v1</AccessionNumber></AccessionNumberList></DataBank></DataBankList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>11</Month><Day>25</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Atmos Environ (1994)</MedlineTA><NlmUniqueID>9888534</NlmUniqueID><ISSNLinking>1352-2310</ISSNLinking></MedlineJournalInfo><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Air quality</Keyword><Keyword MajorTopicYN="N">Atmospheric oxidants</Keyword><Keyword MajorTopicYN="N">COVID-19</Keyword><Keyword MajorTopicYN="N">North China Plain</Keyword><Keyword MajorTopicYN="N">Stagnant weather</Keyword></KeywordList><CoiStatement>The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.</CoiStatement></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year><Month>06</Month><Day>16</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2020</Year><Month>10</Month><Day>29</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>11</Month><Day>23</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>12</Month><Day>1</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>12</Month><Day>1</Day><Hour>6</Hour><Minute>1</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>11</Month><Day>30</Day><Hour>5</Hour><Minute>52</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">33250658</ArticleId><ArticleId IdType="doi">10.1016/j.atmosenv.2020.118103</ArticleId><ArticleId IdType="pii">S1352-2310(20)30835-9</ArticleId><ArticleId IdType="pmc">PMC7686771</ArticleId></ArticleIdList><pmc-dir>pmcsd</pmc-dir>
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