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A Pareto chart is a bar graph or a combination of both line and bar graphs. The bar lengths represent the individual values or the frequency, while the lines represent the cumulative total values. In this chart, the longest bars are arranged on the left and the shortest bars on the right, which makes it easier to read and interpret the data. It can also be called a Pareto diagram or Pareto analysis.
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
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Significant concurrent decrease in PM2.5 and NO2 concentrations in China during COVID-19 epidemic.

Biwu Chu1, Shuping Zhang2, Jun Liu2

  • 1State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; University of Chinese Academy of Sciences, Beijing 100049, China.

Journal of Environmental Sciences (China)
|November 13, 2020
PubMed
Summary
This summary is machine-generated.

COVID-19 lockdowns significantly reduced nitrogen dioxide (NO2) and particulate matter (PM2.5) air pollution in China. These findings suggest controlling nitrogen oxides (NOx) can help lower PM2.5 levels.

Keywords:
Air qualityCoordinated controlCovid-19 epidemicO(3)PM(2.5)Temporal variation and spatial distribution

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Area of Science:

  • Environmental Science
  • Atmospheric Chemistry
  • Public Health

Background:

  • COVID-19 pandemic prompted strict control measures and social lockdowns globally.
  • These measures significantly altered human activities, impacting environmental conditions.

Purpose of the Study:

  • To investigate the impact of COVID-19 control measures on air pollutant concentrations in China.
  • To analyze the temporal and spatial variations of these pollutants.
  • To provide insights for future air pollution control strategies.

Main Methods:

  • Utilized observational data from the China National Environmental Monitoring Center.
  • Compared air pollutant concentrations (NO2, PM2.5, SO2, CO, O3) in early 2020 with 2019 levels.
  • Analyzed temporal variations and spatial distributions of key pollutants.

Main Results:

  • Significant decreases in NO2 (up to 53%) and PM2.5 (up to 35%) concentrations observed in early 2020 compared to 2019.
  • Smaller declines noted for SO2 and CO.
  • Consistent temporal and spatial patterns observed for PM2.5 and NO2 reductions.
  • Ozone (O3) concentrations increased concurrently with NO2 and PM2.5 decreases.

Conclusions:

  • COVID-19 lockdowns effectively reduced major air pollutants like NO2 and PM2.5 in China.
  • Control of nitrogen oxides (NOx) is a viable strategy for reducing PM2.5 pollution.
  • Coordinated control strategies are necessary to manage increases in O3 concentrations.