Responses of decline in air pollution and recovery associated with COVID-19 lockdown in the Pearl River Delta.
Identifieur interne : 000177 ( Main/Exploration ); précédent : 000176; suivant : 000178Responses of decline in air pollution and recovery associated with COVID-19 lockdown in the Pearl River Delta.
Auteurs : Siyu Wang [République populaire de Chine] ; Yanli Zhang [République populaire de Chine] ; Jinlong Ma [République populaire de Chine] ; Shengqiang Zhu [République populaire de Chine] ; Juanyong Shen [République populaire de Chine] ; Peng Wang [République populaire de Chine] ; Hongliang Zhang [République populaire de Chine]Source :
- The Science of the total environment [ 1879-1026 ] ; 2021.
Descripteurs français
- KwdFr :
- MESH :
English descriptors
- KwdEn :
- MESH :
- chemical , analysis : Air Pollutants, Particulate Matter.
- geographic : Cities.
- analysis : Air Pollution.
- COVID-19, Communicable Disease Control, Environmental Monitoring, Humans, Rivers, SARS-CoV-2.
Abstract
The Guangdong government implemented lockdown measures on January 23, 2020, to ease the spread of the coronavirus disease 2019 (COVID-19). These measures prohibit a series of human activities and lead to a great reduction in anthropogenic emissions. Starting on February 20, all companies resumed work and production, and emissions gradually recovered. To investigate the response of air pollutants in the Pearl River Delta (PRD) to the emission reduction and recovery related to COVID-19 lockdown, we used the Community Multi-scale Air Quality (CMAQ) model to estimate the changes in air pollutants, including three periods: Period I (January 10 to January 22, 2020), Period II (January 23 to February 19, 2020), Period III (February 20 to March 9, 2020). During Period II, under the concurrent influence of emissions and meteorology, air quality improved significantly with PM2.5, NO2, and SO2 decreased by 52%, 67%, and 25%, respectively. O3 had no obvious changes in most cities, which mainly due to the synergetic effects of emissions and meteorology. In Period III, with the recovery of emissions and the changes in meteorology, the increase of secondary components was faster than that of primary PM2.5 (PPM), which indicated that changes in PPM concentration were more sensitive to emissions reduction. O3 concentration increased as emission and temperature rising. Our findings elucidate that more effective emission control strategies should be implemented in PRD to alleviate the increasingly serious pollution situation.
DOI: 10.1016/j.scitotenv.2020.143868
PubMed: 33302072
PubMed Central: PMC7688412
Affiliations:
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Responses of decline in air pollution and recovery associated with COVID-19 lockdown in the Pearl River Delta.</title><author><name sortKey="Wang, Siyu" sort="Wang, Siyu" uniqKey="Wang S" first="Siyu" last="Wang">Siyu Wang</name><affiliation wicri:level="1"><nlm:affiliation>Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Environmental Science and Engineering, Fudan University, Shanghai 200438</wicri:regionArea><wicri:noRegion>Shanghai 200438</wicri:noRegion></affiliation></author><author><name sortKey="Zhang, Yanli" sort="Zhang, Yanli" uniqKey="Zhang Y" first="Yanli" last="Zhang">Yanli Zhang</name><affiliation wicri:level="3"><nlm:affiliation>State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou</wicri:regionArea><placeName><settlement type="city">Jiangmen</settlement><region type="province">Guangdong</region></placeName></affiliation></author><author><name sortKey="Ma, Jinlong" sort="Ma, Jinlong" uniqKey="Ma J" first="Jinlong" last="Ma">Jinlong Ma</name><affiliation wicri:level="1"><nlm:affiliation>Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Environmental Science and Engineering, Fudan University, Shanghai 200438</wicri:regionArea><wicri:noRegion>Shanghai 200438</wicri:noRegion></affiliation></author><author><name sortKey="Zhu, Shengqiang" sort="Zhu, Shengqiang" uniqKey="Zhu S" first="Shengqiang" last="Zhu">Shengqiang Zhu</name><affiliation wicri:level="1"><nlm:affiliation>Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Environmental Science and Engineering, Fudan University, Shanghai 200438</wicri:regionArea><wicri:noRegion>Shanghai 200438</wicri:noRegion></affiliation></author><author><name sortKey="Shen, Juanyong" sort="Shen, Juanyong" uniqKey="Shen J" first="Juanyong" last="Shen">Juanyong Shen</name><affiliation wicri:level="1"><nlm:affiliation>School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240</wicri:regionArea><wicri:noRegion>Shanghai 200240</wicri:noRegion></affiliation></author><author><name sortKey="Wang, Peng" sort="Wang, Peng" uniqKey="Wang P" first="Peng" last="Wang">Peng Wang</name><affiliation wicri:level="1"><nlm:affiliation>Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Hong Kong 99907, China. 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Electronic address: peng.ce.wang@polyu.edu.hk.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Hong Kong 99907</wicri:regionArea><wicri:noRegion>Hong Kong 99907</wicri:noRegion></affiliation></author><author><name sortKey="Zhang, Hongliang" sort="Zhang, Hongliang" uniqKey="Zhang H" first="Hongliang" last="Zhang">Hongliang Zhang</name><affiliation wicri:level="1"><nlm:affiliation>Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China; Institute of Eco-Chongming (IEC), Shanghai 200062, China. Electronic address: zhanghl@fudan.edu.cn.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China; Institute of Eco-Chongming (IEC), Shanghai 200062</wicri:regionArea><wicri:noRegion>Shanghai 200062</wicri:noRegion></affiliation></author></analytic><series><title level="j">The Science of the total environment</title><idno type="eISSN">1879-1026</idno><imprint><date when="2021" type="published">2021</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Air Pollutants (analysis)</term><term>Air Pollution (analysis)</term><term>COVID-19 (MeSH)</term><term>Cities (MeSH)</term><term>Communicable Disease Control (MeSH)</term><term>Environmental Monitoring (MeSH)</term><term>Humans (MeSH)</term><term>Particulate Matter (analysis)</term><term>Rivers (MeSH)</term><term>SARS-CoV-2 (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Contrôle des maladies transmissibles (MeSH)</term><term>Humains (MeSH)</term><term>Matière particulaire (analyse)</term><term>Polluants atmosphériques (analyse)</term><term>Pollution de l'air (analyse)</term><term>Rivières (MeSH)</term><term>Surveillance de l'environnement (MeSH)</term><term>Villes (MeSH)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Air Pollutants</term><term>Particulate Matter</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>Cities</term></keywords><keywords scheme="MESH" qualifier="analyse" xml:lang="fr"><term>Matière particulaire</term><term>Polluants atmosphériques</term><term>Pollution de l'air</term></keywords><keywords scheme="MESH" qualifier="analysis" xml:lang="en"><term>Air Pollution</term></keywords><keywords scheme="MESH" xml:lang="en"><term>COVID-19</term><term>Communicable Disease Control</term><term>Environmental Monitoring</term><term>Humans</term><term>Rivers</term><term>SARS-CoV-2</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Contrôle des maladies transmissibles</term><term>Humains</term><term>Rivières</term><term>Surveillance de l'environnement</term><term>Villes</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The Guangdong government implemented lockdown measures on January 23, 2020, to ease the spread of the coronavirus disease 2019 (COVID-19). These measures prohibit a series of human activities and lead to a great reduction in anthropogenic emissions. Starting on February 20, all companies resumed work and production, and emissions gradually recovered. To investigate the response of air pollutants in the Pearl River Delta (PRD) to the emission reduction and recovery related to COVID-19 lockdown, we used the Community Multi-scale Air Quality (CMAQ) model to estimate the changes in air pollutants, including three periods: Period I (January 10 to January 22, 2020), Period II (January 23 to February 19, 2020), Period III (February 20 to March 9, 2020). During Period II, under the concurrent influence of emissions and meteorology, air quality improved significantly with PM<sub>2.5</sub>, NO<sub>2</sub>, and SO<sub>2</sub> decreased by 52%, 67%, and 25%, respectively. O<sub>3</sub> had no obvious changes in most cities, which mainly due to the synergetic effects of emissions and meteorology. In Period III, with the recovery of emissions and the changes in meteorology, the increase of secondary components was faster than that of primary PM<sub>2.5</sub> (PPM), which indicated that changes in PPM concentration were more sensitive to emissions reduction. O<sub>3</sub> concentration increased as emission and temperature rising. Our findings elucidate that more effective emission control strategies should be implemented in PRD to alleviate the increasingly serious pollution situation.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Automated" Owner="NLM"><PMID Version="1">33302072</PMID><DateCompleted><Year>2021</Year><Month>01</Month><Day>01</Day></DateCompleted><DateRevised><Year>2021</Year><Month>01</Month><Day>29</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1879-1026</ISSN><JournalIssue CitedMedium="Internet"><Volume>756</Volume><PubDate><Year>2021</Year><Month>Feb</Month><Day>20</Day></PubDate></JournalIssue><Title>The Science of the total environment</Title><ISOAbbreviation>Sci Total Environ</ISOAbbreviation></Journal><ArticleTitle>Responses of decline in air pollution and recovery associated with COVID-19 lockdown in the Pearl River Delta.</ArticleTitle><Pagination><MedlinePgn>143868</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S0048-9697(20)37399-X</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.scitotenv.2020.143868</ELocationID><Abstract><AbstractText>The Guangdong government implemented lockdown measures on January 23, 2020, to ease the spread of the coronavirus disease 2019 (COVID-19). These measures prohibit a series of human activities and lead to a great reduction in anthropogenic emissions. Starting on February 20, all companies resumed work and production, and emissions gradually recovered. To investigate the response of air pollutants in the Pearl River Delta (PRD) to the emission reduction and recovery related to COVID-19 lockdown, we used the Community Multi-scale Air Quality (CMAQ) model to estimate the changes in air pollutants, including three periods: Period I (January 10 to January 22, 2020), Period II (January 23 to February 19, 2020), Period III (February 20 to March 9, 2020). During Period II, under the concurrent influence of emissions and meteorology, air quality improved significantly with PM<sub>2.5</sub>, NO<sub>2</sub>, and SO<sub>2</sub> decreased by 52%, 67%, and 25%, respectively. O<sub>3</sub> had no obvious changes in most cities, which mainly due to the synergetic effects of emissions and meteorology. In Period III, with the recovery of emissions and the changes in meteorology, the increase of secondary components was faster than that of primary PM<sub>2.5</sub> (PPM), which indicated that changes in PPM concentration were more sensitive to emissions reduction. O<sub>3</sub> concentration increased as emission and temperature rising. Our findings elucidate that more effective emission control strategies should be implemented in PRD to alleviate the increasingly serious pollution situation.</AbstractText><CopyrightInformation>Copyright © 2020 Elsevier B.V. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Wang</LastName><ForeName>Siyu</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhang</LastName><ForeName>Yanli</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ma</LastName><ForeName>Jinlong</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhu</LastName><ForeName>Shengqiang</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Shen</LastName><ForeName>Juanyong</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wang</LastName><ForeName>Peng</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Hong Kong 99907, China. Electronic address: peng.ce.wang@polyu.edu.hk.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhang</LastName><ForeName>Hongliang</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China; Institute of Eco-Chongming (IEC), Shanghai 200062, China. Electronic address: zhanghl@fudan.edu.cn.</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>Netherlands</Country><MedlineTA>Sci Total Environ</MedlineTA><NlmUniqueID>0330500</NlmUniqueID><ISSNLinking>0048-9697</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D000393">Air Pollutants</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D052638">Particulate Matter</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000393" MajorTopicYN="Y">Air Pollutants</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="N">analysis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D000397" MajorTopicYN="Y">Air Pollution</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="N">analysis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D000086382" MajorTopicYN="Y">COVID-19</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002947" MajorTopicYN="N" Type="Geographic">Cities</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003140" MajorTopicYN="N">Communicable Disease Control</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004784" MajorTopicYN="N">Environmental Monitoring</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D052638" MajorTopicYN="N">Particulate Matter</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="N">analysis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D045483" MajorTopicYN="N">Rivers</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000086402" MajorTopicYN="N">SARS-CoV-2</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Air quality</Keyword><Keyword MajorTopicYN="N">COVID-19</Keyword><Keyword MajorTopicYN="N">Emission recovery</Keyword><Keyword MajorTopicYN="N">Emission reductions</Keyword><Keyword MajorTopicYN="N">Meteorology conditions</Keyword></KeywordList><CoiStatement>Declaration of competing interest The authors declare that they have no conflict of interest.</CoiStatement></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year><Month>09</Month><Day>23</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2020</Year><Month>11</Month><Day>13</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>11</Month><Day>17</Day></PubMedPubDate><PubMedPubDate 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first="Jinlong" last="Ma">Jinlong Ma</name><name sortKey="Shen, Juanyong" sort="Shen, Juanyong" uniqKey="Shen J" first="Juanyong" last="Shen">Juanyong Shen</name><name sortKey="Wang, Peng" sort="Wang, Peng" uniqKey="Wang P" first="Peng" last="Wang">Peng Wang</name><name sortKey="Zhang, Hongliang" sort="Zhang, Hongliang" uniqKey="Zhang H" first="Hongliang" last="Zhang">Hongliang Zhang</name><name sortKey="Zhang, Yanli" sort="Zhang, Yanli" uniqKey="Zhang Y" first="Yanli" last="Zhang">Yanli Zhang</name><name sortKey="Zhu, Shengqiang" sort="Zhu, Shengqiang" uniqKey="Zhu S" first="Shengqiang" last="Zhu">Shengqiang Zhu</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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