A034-0017
Reconciling Ground-Based Remote Sensing and In-Situ Observations of COVID-Related Air Quality Changes in the Boston Area

Tuesday, 8 December 2020
Poster
Taylor Adams, Boston University, Boston, MA, United States, Jeffrey Geddes, University of Toronto, Toronto, ON, Canada, Elena Spinei, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States and Leah Brown, Dalhousie University, Halifax, Canada
Abstract:
At the peak of COVID-related restrictions, the Massachusetts Department of Transportation recorded declines in traffic of up to 70% compared to the same time in the previous year. With mobile sources making up 60-70% of all nitrogen oxide emissions in Boston, this disruption of traffic was captured by our ground-based monitoring of nitrogen dioxide (NO2). Here we report long-term observations by Pandora spectrometer systems in the Boston area since April 2019, and compare the measurements with ground-level NO2 measured in-situ by the Massachusetts Department of Environmental Protection. Total column NO2 recorded by the direct-sun Pandora measurements across April-June 2020 was, on average, 40% lower than the same time in 2019; declines in the highest (95th percentile) NO2 were even more dramatic (~60%). These ground-based column observations are consistent with evidence from traffic data and in-situ NO2 measurements. We explore the role of meteorological variability and long-term background trends in the difference between 2019 and 2020. We further leverage the disparate time-of-day, day-of-week, and meteorological controls on the COVID-related impacts in the remotely sensed column and ground-level in-situ observations to gain novel insight into column-to-surface relationships of NO2 in general.