4.7 Article

Significant Reduction in Fine Particulate Matter in Beijing during 2022 Beijing Winter Olympics

期刊

ENVIRONMENTAL SCIENCE & TECHNOLOGY LETTERS
卷 9, 期 10, 页码 822-828

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.estlett.2c00532

关键词

PM2.5; chemical fraction; Beijing Winter Olympics; source apportionment; multiple linear regression; control policy

资金

  1. National Key Research and Development Program of China [2019YFC0214203]
  2. Shandong Provincial Natural Science Foundation of China [ZR2020ZD21]
  3. National research program for key issues in air pollution control [DQGG2021101]
  4. Open Research Fund of Beijing Key Laboratory of Airborne Particulate Matter Monitoring Technology (Beijing Municipal Ecological and Environmental Monitoring Center) [KF2021-01]

向作者/读者索取更多资源

Significant reductions in PM2.5 concentrations and chemical species in Beijing were observed during the 2022 Winter Olympic Games, thanks to aggressive mitigation measures. The contribution of meteorological conditions to the PM2.5 variation was found to be only 46.1%, while source control measures accounted for 53.9%. This study provides valuable insights for developing countries plagued by heavy air pollution in achieving air quality improvement.
To investigate the air quality improvement during 2022 Beijing Winter Olympic Games (WOG), continuous hourly observations of fine particulate matter (PM2.5) and chemical fractions were performed in Beijing from January to March 2017-2022. Benefiting from the aggressive mitigation measures, significant reductions in the PM2.5 concentrations and chemical species in Beijing were observed during WOG. During strict control period, six sources of PM2.5 in Beijing were identified with positive matrix factorization model including secondary source (SS), industrial emissions (IEs), vehicle emissions (VEs), coal combustion (CC), fireworks burning (FB), and dust. Additionally, an obvious decline was observed in the sources of PM2.5, and no contribution of FB was quantitatively identified in 2022. Based on the multiple linear regression analysis, it found that meteorological parameters accounted for 46.1% of the total variation in the PM2.5 concentration, while source control measures accounted for 53.9% of the total variation, indicating that aggressive mitigation measures played a more important role in the decline in the PM2.5 concentration than meteorological conditions. This study could provide valuable insight into achieving air quality improvement and formulating policies in developing countries plagued by heavy air pollution.

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