A preliminary assessment of the impact of COVID-19 on environment - A case study of China

Sci Total Environ. 2020 Aug 1:728:138915. doi: 10.1016/j.scitotenv.2020.138915. Epub 2020 Apr 22.

Abstract

The coronavirus disease (COVID-19) is seriously threatening world public health security. Currently, >200 countries and regions have been affected by the epidemic, with the number of infections and deaths still increasing. As an extreme event, the outbreak of COVID-19 has greatly damaged the global economic growth and caused a certain impact on the environment. This paper takes China as a case study, comprehensively evaluating the dynamic impact of COVID-19 on the environment. The analysis results indicate that the outbreak of COVID-19 improves China's air quality in the short term and significantly contributes to global carbon emission reduction. However, in the long run, there is no evidence that this improvement will continue. When China completely lifts the lockdown and resumes large-scale industrial production, its energy use and greenhouse gas (GHG) emissions are likely to exceed the level before the event. Moreover, COVID-19 significantly reduces the concentration of nitrogen dioxide (NO2) in the atmosphere. The decline initially occurred near Wuhan and eventually spread to the whole country. The above phenomenon shows that the decreasing economic activities and traffic restrictions directly lead to the changes of China's energy consumption and further prevent the environment from pollution. The results in this study support the fact that strict quarantine measures can not only protect the public from COVID-19, but also exert a positive impact on the environment. These findings can provide a reference for other countries to assess the influence of COVID-19 on the environment.

Keywords: China; Coronavirus; Environmental pollution; NO(2) emission.

MeSH terms

  • Air Pollution / analysis*
  • Betacoronavirus
  • COVID-19
  • China
  • Coronavirus Infections*
  • Energy-Generating Resources / statistics & numerical data
  • Environment*
  • Humans
  • Nitrogen Dioxide / analysis
  • Pandemics*
  • Pneumonia, Viral*
  • SARS-CoV-2

Substances

  • Nitrogen Dioxide