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  1. Article ; Online: Road traffic and air pollution: Evidence from a nationwide traffic control during coronavirus disease 2019 outbreak.

    Jia, Chengyong / Li, Wending / Wu, Tangchun / He, Meian

    The Science of the total environment

    2021  Volume 781, Page(s) 146618

    Abstract: ... between vehicle density and air pollution. We found that, during the coronavirus disease 2019 outbreak ... small-scale governmental interventions. China's nationwide traffic control during the coronavirus ... the nationwide reduced air pollution (except for O ...

    Abstract Existing estimations of air pollution from automobile sources are based on either experiments or small-scale governmental interventions. China's nationwide traffic control during the coronavirus disease 2019 outbreak provided us a unique opportunity to assess the direct dose-effect relationship between vehicle density and air pollution. We found that, during the coronavirus disease 2019 outbreak, the nationwide reduced air pollution (except for O
    MeSH term(s) Air Pollutants/analysis ; Air Pollution/analysis ; COVID-19 ; Cities ; Disease Outbreaks ; Environmental Monitoring ; Humans ; Particulate Matter/analysis ; SARS-CoV-2
    Chemical Substances Air Pollutants ; Particulate Matter
    Language English
    Publishing date 2021-03-19
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2021.146618
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  2. Article: Road traffic and air pollution: Evidence from a nationwide traffic control during coronavirus disease 2019 outbreak

    Jia, Chengyong / Li, Wending / Wu, Tangchun / He, Meian

    Science of the total environment. 2021 Aug. 10, v. 781

    2021  

    Abstract: ... between vehicle density and air pollution. We found that, during the coronavirus disease 2019 outbreak ... to the assessment and control of traffic-generated air pollution and its public health impact. ... small-scale governmental interventions. China's nationwide traffic control during the coronavirus ...

    Abstract Existing estimations of air pollution from automobile sources are based on either experiments or small-scale governmental interventions. China's nationwide traffic control during the coronavirus disease 2019 outbreak provided us a unique opportunity to assess the direct dose-effect relationship between vehicle density and air pollution. We found that, during the coronavirus disease 2019 outbreak, the nationwide reduced air pollution (except for O₃) could be largely explained by traffic control measures. During the traffic control period, every doubling of vehicle density was associated with a decrease of 4.2 (2.0, 6.4) μg/m³ in PM₂.₅, 5.5 (2.9, 8.1) μg/m³ in PM₁₀, 1.5 (0.9, 2.0) μg/m³ in NO₂, and 0.04 (0.02, 0.07) mg/m³ in CO comparing cities with different vehicle densities. Similarly, for every 10% increase in the truck proportion, PM₂.₅ decreased by 12.3 (4.1, 20.6) μg/m³, PM₁₀ decreased by 14.3 (4.6, 23.9) μg/m³, and CO decreased by 0.14 (0.05, 0.23) mg/m³. Moreover, the associations between vehicle density and reduction in PM₂.₅, PM₁₀, and CO during the traffic control period were stronger and showed near-complete linearity in cities with low green coverage rate (All P < 0.05 for interaction). According to our estimation, PM₂.₅ emissions from every doubling of vehicle density can lead to over 8000 excess deaths per year, 66% of which were caused by cardiopulmonary diseases. This natural experiment study is the first to observe the dose-effect relationship between on-road traffic and traffic-generated air pollution, as well as the mitigating effect of urban greening. Findings provide key evidence to the assessment and control of traffic-generated air pollution and its public health impact.
    Keywords COVID-19 infection ; air pollution ; automobiles ; environment ; public health ; traffic ; China
    Language English
    Dates of publication 2021-0810
    Publishing place Elsevier B.V.
    Document type Article
    Note NAL-AP-2-clean
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2021.146618
    Database NAL-Catalogue (AGRICOLA)

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