Characterizing the emission trends and pollution evolution patterns during the transition period following COVID-19 at an industrial megacity of central China

• Published in: Ecotoxicology and environmental safety 2024-06, Vol.278, p.116354-116354, Article 116354
• Main Authors: Li, Yafei, Yao, Lu, Yang, Jingyi, Wu, Jianhui, Tang, Xiao, Liang, Shengwen, Zhang, Yufen, Feng, Yinchang
• Format: Article
• Language: English
• Subjects: Air Pollutants - analysis; Air Pollution - statistics & numerical data; China - epidemiology; Cities; COVID-19 - epidemiology; Emission trends; Environmental Monitoring - methods; Evolution pattern; Humans; Industry; Pandemics; Particulate Matter - analysis; PM2.5; SARS-CoV-2; Sources; Transition period; Vehicle Emissions - analysis
• ISSN: 0147-6513; 1090-2414
• DOI: 10.1016/j.ecoenv.2024.116354

After the resumption of work and production following the COVID-19 pandemic, many cities entered a “transition phase”, characterized by the gradual recovery of emission levels from various sources. Although the overall PM2.5 emission trends have recovered, the specific changes in different sources of PM2.5 remain unclear. Here, we investigated the changes in source contributions and the evolution pattern of pollution episodes (PE) in Wuhan during the “transition period” and compared them with the same period during the COVID-19 lockdown. We found that vehicle emissions, industrial processes, and road dust exhibited significant recoveries during the transition period, increasing by 5.4%, 4.8%, and 3.9%, respectively, during the PE. As primary emissions increased, secondary formation slightly declined, but it still played a predominant role (accounting for 39.1∼ 43.0% of secondary nitrate). The reduction in industrial activities was partially offset by residential burning. The evolution characteristics of PE exhibited significant differences between the two periods, with PM2.5 concentration persisting at a high level during the transition period. The differences in the evolution patterns of the two periods were also reflected in their change rates at each stage, which mostly depend on the pre-PE concentration level. The transition period shows a significantly higher value (8.4 μg m–3 h–1) compared with the lockdown period, almost double the amount. In addition to local emissions, regional transport should be a key consideration in pollution mitigation strategies, especially in areas adjacent to Wuhan. Our study quantifies the variations in sources between the two periods, providing valuable insights for optimizing environmental planning to achieve established goals. [Display omitted] •Emission-related trends was the dominant contributor to the long-term trend of PM2.5.•DN-PMF could accurately capture the diurnal variation in the emission contribution of the subsource.•The evolution pattern during the transitional pollution episodes were abstracted and characterized.•The contribution of vehicles and dust increased by 5.4% and 3.9% compared with the lockdown period.