Global fine-scale changes in ambient NO2 during COVID-19 lockdowns
Matthew J. Cooper (),
Randall V. Martin,
Melanie S. Hammer,
Pieternel F. Levelt,
Pepijn Veefkind,
Lok N. Lamsal,
Nickolay A. Krotkov,
Jeffrey R. Brook and
Chris A. McLinden
Additional contact information
Matthew J. Cooper: Dalhousie University
Randall V. Martin: Dalhousie University
Melanie S. Hammer: Dalhousie University
Pieternel F. Levelt: Royal Netherlands Meteorological Institute (KNMI)
Pepijn Veefkind: Royal Netherlands Meteorological Institute (KNMI)
Lok N. Lamsal: NASA Goddard Space Flight Center
Nickolay A. Krotkov: NASA Goddard Space Flight Center
Jeffrey R. Brook: University of Toronto
Chris A. McLinden: Environment and Climate Change Canada
Nature, 2022, vol. 601, issue 7893, 380-387
Abstract:
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.
Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://www.nature.com/articles/s41586-021-04229-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:601:y:2022:i:7893:d:10.1038_s41586-021-04229-0
Ordering information: This journal article can be ordered from
https://www.nature.com/
DOI: 10.1038/s41586-021-04229-0
Access Statistics for this article
Nature is currently edited by Magdalena Skipper
More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().