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Geophysical research letters
Sep 16, 2020;47 (17): e2020GL089269.

Disentangling the Impact of the COVID-19 Lockdowns on Urban NO From Natural Variability.

Daniel L Goldberg, Susan C Anenberg, Debora Griffin, Chris A McLinden, Zifeng Lu, David G Streets
Author Information
  1. Daniel L Goldberg: Department of Environmental and Occupational Health George Washington University Washington DC USA. ORCID
  2. Susan C Anenberg: Department of Environmental and Occupational Health George Washington University Washington DC USA. ORCID
  3. Debora Griffin: Air Quality Research Division Environment and Climate Change Canada (ECCC) Toronto Ontario Canada. ORCID
  4. Chris A McLinden: Air Quality Research Division Environment and Climate Change Canada (ECCC) Toronto Ontario Canada. ORCID
  5. Zifeng Lu: Energy Systems Division Argonne National Laboratory Lemont IL USA. ORCID
  6. David G Streets: Energy Systems Division Argonne National Laboratory Lemont IL USA. ORCID
PMID: 32904906 DOI: 10.1029/2020GL089269

Abstract

TROPOMI satellite data show substantial drops in nitrogen dioxide (NO) during COVID-19 physical distancing. To attribute NO changes to NO emissions changes over short timescales, one must account for meteorology. We find that meteorological patterns were especially favorable for low NO in much of the United States in spring 2020, complicating comparisons with spring 2019. Meteorological variations between years can cause column NO differences of ~15% over monthly timescales. After accounting for solar angle and meteorological considerations, we calculate that NO 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 NO drops (>30%) were in San Jose, Los Angeles, and Toronto, and smallest drops (<12%) were in Miami, Minneapolis, and Dallas. These normalized NO changes can be used to highlight locations with greater activity changes and better understand the sources contributing to adverse air quality in each city.

Keywords

COVID‐19 NO2 trends NOx emissions TROPOMI NO2 meteorological effects

Associated Data

figshare | 10.6084/m9.figshare.12721724

References

Environ Sci Technol. 2016 Jan 5;50(1):331-7 [PMID: 26642237]
Environ Sci Technol. 2010 May 1;44(9):3608-15 [PMID: 20364869]
Environ Health Perspect. 2016 Mar;124(3):281-9 [PMID: 26241114]
Environ Sci Technol. 2017 May 16;51(10):5838-5846 [PMID: 28466642]
Sci Adv. 2019 Nov 13;5(11):eaax9800 [PMID: 31763456]
Atmos Meas Tech. 2020 May 19;13(5): [PMID: 32670429]
Sci Adv. 2020 Jul 10;6(28):eabc2992 [PMID: 32923601]
Sci Rep. 2020 Jun 22;10(1):10066 [PMID: 32572056]
Geophys Res Lett. 2019 Jan 28;46(2):1049-1060 [PMID: 33867596]
Earths Future. 2021 Apr;9(4):e2020EF001665 [PMID: 33869651]
Science. 2019 Nov 8;366(6466):723-727 [PMID: 31699933]
Science. 2011 Sep 23;333(6050):1737-9 [PMID: 21940891]
Environ Sci Technol. 2019 Nov 5;53(21):12594-12601 [PMID: 31601103]
Geophys Res Lett. 2020 Sep 16;47(17):e2020GL089269 [PMID: 32904906]
Sci Total Environ. 2019 Dec 10;695:133805 [PMID: 31419680]
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