Impact of the COVID-19 lockdown on the chemical composition and sources of urban PM2.5

• Published in: Environmental pollution (1987) Vol. 292; p. 118417
• Main Authors: Jeong, Cheol-Heon, Yousif, Meguel, Evans, Greg J.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.01.2022
• Subjects: Cooking emissions; COVID-19 lockdown; Non-tailpipe emissions; Receptor modeling; Tailpipe emissions; Traffic-related PM2.5; Traffic-related PM2.5; Non-tailpipe emissions; Tailpipe emissions; COVID-19 lockdown; Receptor modeling; Cooking emissions
• ISSN: 0269-7491; 1873-6424
• DOI: 10.1016/j.envpol.2021.118417

The lockdown measures caused by the COVID-19 pandemic substantially affected air quality in many cities through reduced emissions from a variety of sources, including traffic. The change in PM2.5 and its chemical composition in downtown Toronto, Canada, including organic/inorganic composition and trace metals, were examined by comparing with a pre-lockdown period and respective periods in the three previous years. During the COVID-19 lockdown, the average traffic volume reduced by 58%, whereas PM2.5 only decreased by 4% relative to the baselines. Major chemical components of PM2.5, such as organic aerosol and ammonium nitrate, showed significant seasonal changes between pre- and lockdown periods. The changes in local and regional PM2.5 sources were assessed using hourly chemical composition measurements of PM2.5. Major regional and secondary PM2.5 sources exhibited no clear reductions during the lockdown period compared to pre-lockdown and the previous years. However, cooking emissions substantially dropped by approximately 61% due to the restrictions imposed on local businesses (i.e., restaurants) during the lockdown, and then gradually increased throughout the recovery periods. The reduction in non-tailpipe emissions, characterized by road dust and brake/tire dust, ranged from 37% to 61%, consistent with the changes in traffic volume and meteorology across seasons in 2020. Tailpipe emissions dropped by approximately 54% and exhibited even larger reductions during morning rush hours. The reduction of tailpipe emissions was statistically associated with the reduced number of trucks, highlighting that a small fraction of trucks contributes disproportionally to tailpipe emissions. This study provides insight into the potential for local benefits to arise from traffic intervention in traffic-dominated urban areas and supports the development of targeted strategies and regulations to effectively reduce local air pollution. [Display omitted] •Major regional and secondary PM2.5 sources exhibited no clear reductions.•COVID-19 lockdown created air quality benefits by reducing traffic-related PM2.5•Reduction of tailpipe emissions was caused mainly by the reduced number of trucks.•Targeted strategies for heavy emitters are necessary to mitigate traffic emissions.•Cooking emissions dropped substantially due to the restriction on local businesses.