Research of the impact of economic decline on air quality in Wuhan under COVID-19 epidemic

Abstract

A novel economic impact model is proposed by this paper to analyze the impact of economic downturn on the air quality in Wuhan during the epidemic period, and to explore the effective solutions to improve the urban air pollution. The Space Optimal Aggregation Model (SOAM) is used to evaluate the air quality of Wuhan from January to April in 2019 and 2020. The analysis results show that the air quality of Wuhan from January to April 2020 is better than that of the same period in 2019, and it shows a gradually better trend. This shows that although the measures of household isolation, shutdown and production stoppage adopted during the epidemic period in Wuhan caused economic downturn, it objectively improved the air quality of the city. In addition, the impact of economic factors on PM2.5, SO2 and NO2 is 19%, 12% and 49% respectively calculated by the SOMA. This shows that industrial adjustment and technology upgrading for enterprises that emit a large amount of NO2 can greatly improve the air pollution situation in Wuhan. The SOMA can be extended to any city to analyze the impact of the economy on the composition of air pollutants, and it has extremely important application value at the level of industrial adjustment and transformation policy formulation.

Long-Term Atmosphere Surveillance (2016–2021) of PM2.5-bound Polycyclic Aromatic Hydrocarbons and Health Risk Assessment in Yangtze River Delta, China

“…Total industrial coal consumption is decreasing year by year, and new energy vehicles achieve greater penetration (Shang et al 2022 ). The substantial air quality optimization in 2020 and 2021 could be attributed to the COVID-19 pandemic (Qiu et al 2023 ). The measures employed during the epidemic period, such as household isolation, shutdown and production stoppage, objectively improved the air quality of the city.…”