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Disentangling the Impact of the COVID-19 Lockdowns on Urban NO2 From Natural Variability.
Goldberg, Daniel L; Anenberg, Susan C; Griffin, Debora; McLinden, Chris A; Lu, Zifeng; Streets, David G.
  • Goldberg DL; Department of Environmental and Occupational Health George Washington University Washington DC USA.
  • Anenberg SC; Energy Systems Division Argonne National Laboratory Lemont IL USA.
  • Griffin D; Department of Environmental and Occupational Health George Washington University Washington DC USA.
  • McLinden CA; Air Quality Research Division Environment and Climate Change Canada (ECCC) Toronto Ontario Canada.
  • Lu Z; Air Quality Research Division Environment and Climate Change Canada (ECCC) Toronto Ontario Canada.
  • Streets DG; Energy Systems Division Argonne National Laboratory Lemont IL USA.
Geophys Res Lett ; 47(17): e2020GL089269, 2020 Sep 16.
Article in English | MEDLINE | ID: covidwho-1931317
ABSTRACT
TROPOMI satellite data show substantial drops in nitrogen dioxide (NO2) during COVID-19 physical distancing. To attribute NO2 changes to NO x emissions changes over short timescales, one must account for meteorology. We find that meteorological patterns were especially favorable for low NO2 in much of the United States in spring 2020, complicating comparisons with spring 2019. Meteorological variations between years can cause column NO2 differences of ~15% over monthly timescales. After accounting for solar angle and meteorological considerations, we calculate that NO2 drops ranged between 9.2% and 43.4% among 20 cities in North America, with a median of 21.6%. Of the studied cities, largest NO2 drops (>30%) were in San Jose, Los Angeles, and Toronto, and smallest drops (<12%) were in Miami, Minneapolis, and Dallas. These normalized NO2 changes can be used to highlight locations with greater activity changes and better understand the sources contributing to adverse air quality in each city.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal: Geophys Res Lett Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal: Geophys Res Lett Year: 2020 Document Type: Article