School of Computer Engineering, Jiangsu University of Technology, Changzhou, China.
PLoS One. 2023 Mar 9;18(3):e0282706. doi: 10.1371/journal.pone.0282706. eCollection 2023.
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.
本文提出了一种新的经济影响模型，旨在分析经济衰退对疫情期间武汉空气质量的影响，并探讨改善城市空气污染的有效解决方案。利用空间最优聚合模型（SOAM）评估了 2019 年和 2020 年 1 月至 4 月武汉的空气质量。分析结果表明，2020 年 1 月至 4 月武汉的空气质量优于 2019 年同期，且呈逐渐改善的趋势。这表明，尽管疫情期间武汉采取的居家隔离、停工停产等措施导致经济衰退，但客观上改善了城市的空气质量。此外，SOMA 计算得出，经济因素对 PM2.5、SO2 和 NO2 的影响分别为 19%、12%和 49%。这表明，对大量排放 NO2 的企业进行产业调整和技术升级，可以极大地改善武汉的空气污染状况。SOMA 可以扩展到任何城市，以分析经济对空气污染物成分的影响，在产业调整和政策制定层面具有极其重要的应用价值。
