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10.13227/j.hjkx.202007249

http://scihub22266oqcxt.onion/10.13227/j.hjkx.202007249
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33742918!ä!33742918

suck abstract from ncbi


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pmid33742918      Huan+Jing+Ke+Xue 2021 ; 42 (3): 1205-1214
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  • Analysis of Changes and Factors Influencing Air Pollutants in the Beijing-Tianjin-Hebei Region During the COVID-19 Pandemic #MMPMID33742918
  • Zhao X; Shen NC; Li LJ; Wu GF; Tao J; Zhao WJ
  • Huan Jing Ke Xue 2021[Mar]; 42 (3): 1205-1214 PMID33742918show ga
  • A series of strict control measures were imposed in the Beijing-Tianjin-Hebei region in early 2020 to control the spread of COVID-19. These measures have led to a reduction of anthropogenic air pollutants, providing an opportunity to observe the contribution of human activities to local air pollution. In this study, the control period was divided into four stages:the before, early, middle, and later stages. Based on a variety of data including meteorological, traffic, and industrial manufacturing datasets, statistical methods were combined with spatial analysis to evaluate changes in air pollution and associated human impacts during each stage. In addition, suggestions are made for further regional air pollution control in the Beijing-Tianjin-Hebei area. Key results are as follows:1 in circle Overall, the AQI and the concentrations of six air pollutants, especially SO(2), PM(10), and NO(2), were lower during control period than during the equivalent period in 2019 (reductions of 26.5%, 24.3%, and 16.9%, respectively). From the before to later stages, pollutants (except O(3)) showed a downward trend while O(3) increased significantly during the before stage (by 76.2%) and the growth rate slowed during the middle and later stages; 2 in circleDuring the prior stage, Beijing experienced two periods with heavy air pollution days as a result of the local accumulation of pollutants, secondary transformation, and regional transport. The concentration of PM(2.5) in February was nearly 60% lower than in February 2014 under similar meteorological conditions in Beijing; 3 in circle Following an increase in traffic volume and industrial activity, changes in air pollutants tended to be stable or slightly increase during the middle and later stages of the control period. The grey relation coefficients between thermal radiation intensity anomalies and the main pollutants in heavy industrial cities were greater than 0.6, which means that the control of industrial emissions remains key to controlling air pollution.
  • |*Air Pollutants/adverse effects/analysis[MESH]
  • |*Air Pollution/analysis[MESH]
  • |*COVID-19[MESH]
  • |Beijing[MESH]
  • |China[MESH]
  • |Cities[MESH]
  • |Environmental Monitoring[MESH]
  • |Humans[MESH]
  • |Pandemics[MESH]
  • |Particulate Matter/analysis[MESH]


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