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Global fine-scale changes in ambient NO2 during COVID-19 lockdowns

Author

Listed:
  • Matthew J. Cooper

    (Dalhousie University
    Washington University in St. Louis)

  • Randall V. Martin

    (Dalhousie University
    Washington University in St. Louis
    Harvard-Smithsonian Center for Astrophysics)

  • Melanie S. Hammer

    (Dalhousie University
    Washington University in St. Louis)

  • Pieternel F. Levelt

    (Royal Netherlands Meteorological Institute (KNMI)
    University of Technology Delft
    National Center for Atmospheric Research)

  • Pepijn Veefkind

    (Royal Netherlands Meteorological Institute (KNMI)
    Delft University of Technology)

  • Lok N. Lamsal

    (NASA Goddard Space Flight Center
    Universities Space Research Association)

  • Nickolay A. Krotkov

    (NASA Goddard Space Flight Center)

  • Jeffrey R. Brook

    (University of Toronto
    University of Toronto)

  • Chris A. McLinden

    (Environment and Climate Change Canada)

Abstract

Nitrogen dioxide (NO2) is an important contributor to air pollution and can adversely affect human health1–9. A decrease in NO2 concentrations has been reported as a result of lockdown measures to reduce the spread of COVID-1910–20. Questions remain, however, regarding the relationship of satellite-derived atmospheric column NO2 data with health-relevant ambient ground-level concentrations, and the representativeness of limited ground-based monitoring data for global assessment. Here we derive spatially resolved, global ground-level NO2 concentrations from NO2 column densities observed by the TROPOMI satellite instrument at sufficiently fine resolution (approximately one kilometre) to allow assessment of individual cities during COVID-19 lockdowns in 2020 compared to 2019. We apply these estimates to quantify NO2 changes in more than 200 cities, including 65 cities without available ground monitoring, largely in lower-income regions. Mean country-level population-weighted NO2 concentrations are 29% ± 3% lower in countries with strict lockdown conditions than in those without. Relative to long-term trends, NO2 decreases during COVID-19 lockdowns exceed recent Ozone Monitoring Instrument (OMI)-derived year-to-year decreases from emission controls, comparable to 15 ± 4 years of reductions globally. Our case studies indicate that the sensitivity of NO2 to lockdowns varies by country and emissions sector, demonstrating the critical need for spatially resolved observational information provided by these satellite-derived surface concentration estimates.

Suggested Citation

  • Matthew J. Cooper & Randall V. Martin & Melanie S. Hammer & Pieternel F. Levelt & Pepijn Veefkind & Lok N. Lamsal & Nickolay A. Krotkov & Jeffrey R. Brook & Chris A. McLinden, 2022. "Global fine-scale changes in ambient NO2 during COVID-19 lockdowns," Nature, Nature, vol. 601(7893), pages 380-387, January.
  • Handle: RePEc:nat:nature:v:601:y:2022:i:7893:d:10.1038_s41586-021-04229-0
    DOI: 10.1038/s41586-021-04229-0
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    Cited by:

    1. John Voorheis & Jonathan Colmer & Kendall Houghton & Eva Lyubich & Mary Munro & Cameron Scalera & Jennifer Withrow, 2023. "Building the Prototype Census Environmental Impacts Frame," Working Papers 23-20, Center for Economic Studies, U.S. Census Bureau.
    2. Jonathan M. Colmer & John L. Voorheis, 2024. "Microdata and the Valuation of Natural Capital," NBER Chapters, in: Measuring and Accounting for Environmental Public Goods: A National Accounts Perspective, National Bureau of Economic Research, Inc.
    3. Chen, Jun, 2023. "Mitigating nitrogen dioxide air pollution: The roles and effect of national smart city pilots in China," Energy, Elsevier, vol. 263(PA).

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