4.7 Article

Air pollution and COVID-19 lockdown in a large South American city: Santiago Metropolitan Area, Chile

期刊

URBAN CLIMATE
卷 36, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.uclim.2021.100803

关键词

Urban air quality; COVID-19 lockdown; Traffic emission rates

资金

  1. Servicio Nacional de Meteorologia e Hidrologia del Peru (SENAMHI-Peru) [199842, 096]
  2. National Commission for Scientific and Technological Research CONICYT/FONDECYT 2020 grant, Chile [1200674]
  3. ENLACE-VID 2020 from University of Chile [ENL17/20]
  4. Center for Climate and Resilient Research Chile [ANID/FONDAP 15110009]
  5. PAPILA (Prediction of Air Pollution in Latin America and the Caribbean), EU [777544, H2020-EU.1.3.3.]
  6. Marie Curie Actions (MSCA) [777544] Funding Source: Marie Curie Actions (MSCA)

向作者/读者索取更多资源

The study of air quality in urban areas during the COVID-19 pandemic in Santiago, Chile, showed that the reduced traffic emissions during the lockdown significantly lowered the concentrations of NOx, CO, and PM2.5, while O3 concentrations increased. The nonlinear response in pollution levels is likely due to changes in vehicular emission patterns and other sources during the pandemic.
The implementation of confinement and physical distancing measures to restrict people?s activities and transit in the midst of the COVID-19 pandemic allowed us to study how these measures affect the air quality in urban areas with high pollution rates, such as Santiago, Chile. A comparative study between the concentrations of PM10, PM2.5, NOx, CO, and O3 during the months of March to May 2020 and the corresponding concentrations during the same period in 2017?2019 is presented. A combination of surface measurements from the air quality monitoring network of the city, remote satellite measurements, and simulations of traffic activity and road transport emissions allowed us to quantify the change in the average concentrations of each pollutant. Average relative changes of traffic emissions (between 61% and 68%) implied statistically significant concentrations reductions of 54%, 13%, and 11% for NOx, CO, and PM2.5, respectively, during the pandemic period compared to historical period. In contrast, the average concentration of O3 increased by 63% during 2020 compared to 2017?2019. The nonlinear response observed in the pollution levels can be attributed to the changes in the vehicular emission patterns during the pandemic and to the role of other sources such as residential emissions or secondary PM.

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