Rigorous quantification of statistical significance of the COVID-19 lockdown effect on air quality: The case from ground-based measurements in Ontario, Canada.

ABSTRACT: Preliminary analyses of satellite measurements from around the world showed drops in nitrogen dioxide (NO₂) coinciding with lockdowns due to the COVID-19 pandemic. Several studies found that these drops correlated with local decreases in transportation and/or industry. None of these studies, however, has rigorously quantified the statistical significance of these drops relative to natural meteorological variability and other factors that influence pollutant levels during similar time periods in previous years. Here, we develop a novel statistical protocol that accounts for seasonal variability, transboundary influences, and new factors such as COVID-19 restrictions in explaining trends in several pollutant levels at 16 ground-based measurement sites in Southern Ontario, Canada.

SUBMITTER: Al-Abadleh HA 

PROVIDER: S-EPMC9758389 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature