4.7 Article

Intra-city variability of fine particulate matter during COVID-19 lockdown: A case study from Park City, Utah

Journal

ENVIRONMENTAL RESEARCH
Volume 201, Issue -, Pages -

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.envres.2021.111471

Keywords

COVID-19 lockdown; Public health; Pollution downturn events; Spatiotemporal pollution variability; PM2 5

Funding

  1. Sustainability Office of Park City, Utah

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Research tracked emissions patterns in a mid-sized, high-altitude city during the COVID-19 pandemic lockdown as a natural experiment to understand the effects of human behavior on air pollution. The results showed differences in emissions between commercial and residential areas during lockdown, with both experiencing a rebound post-lockdown.
Urban air quality is a growing concern due a range of social, economic, and health impacts. Since the SARS-CoV19 pandemic began in 2020, governments have produced a range of non-medical interventions (NMIs) (e.g. lockdowns, stay-at-home orders, mask mandates) to prevent the spread of COVID-19. A co-benefit of NMI implementation has been the measurable improvement in air quality in cities around the world. Using the lockdown policy of the COVID-19 pandemic as a natural experiment, we traced the changing emissions patterns produced under the pandemic in a mid-sized, high-altitude city to isolate the effects of human behavior on air pollution. We tracked air pollution over time periods reflecting the Pre-Lockdown, Lockdown, and Reopening stages, using high quality, research grade sensors in both commercial and residential areas to better understand how each setting may be uniquely impacted by pollution downturn events. Based on this approach, we found the commercial area of the city showed a greater decrease in air pollution than residential areas during the lockdown period, while both areas experienced a similar rebound post lockdown. The easing period following the lockdown did not lead to an immediate rebound in human activity and the air pollution increase associated with reopening, took place nearly two months after the lockdown period ended. We hypothesize that differences in heating needs, travel demands, and commercial activity, are responsible for the corresponding observed changes in the spatial distribution of pollutants over the study period. This research has implications for climate policy, low-carbon energy transitions, and may even impact local policy due to changing patterns in human exposure that could lead to important public health outcomes, if left unaddressed.

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