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Disentangling the Impact of the COVID‐19 Lockdowns on Urban NO(2) From Natural Variability

TROPOMI satellite data show substantial drops in nitrogen dioxide (NO(2)) during COVID‐19 physical distancing. To attribute NO(2) changes to NO( x ) emissions changes over short timescales, one must account for meteorology. We find that meteorological patterns were especially favorable for low NO(2)...

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Autores principales: Goldberg, Daniel L., Anenberg, Susan C., Griffin, Debora, McLinden, Chris A., Lu, Zifeng, Streets, David G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7461033/
https://www.ncbi.nlm.nih.gov/pubmed/32904906
http://dx.doi.org/10.1029/2020GL089269
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author Goldberg, Daniel L.
Anenberg, Susan C.
Griffin, Debora
McLinden, Chris A.
Lu, Zifeng
Streets, David G.
author_facet Goldberg, Daniel L.
Anenberg, Susan C.
Griffin, Debora
McLinden, Chris A.
Lu, Zifeng
Streets, David G.
author_sort Goldberg, Daniel L.
collection PubMed
description TROPOMI satellite data show substantial drops in nitrogen dioxide (NO(2)) during COVID‐19 physical distancing. To attribute NO(2) changes to NO( x ) emissions changes over short timescales, one must account for meteorology. We find that meteorological patterns were especially favorable for low NO(2) in much of the United States in spring 2020, complicating comparisons with spring 2019. Meteorological variations between years can cause column NO(2) differences of ~15% over monthly timescales. After accounting for solar angle and meteorological considerations, we calculate that NO(2) 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(2) drops (>30%) were in San Jose, Los Angeles, and Toronto, and smallest drops (<12%) were in Miami, Minneapolis, and Dallas. These normalized NO(2) 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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spelling pubmed-74610332020-09-02 Disentangling the Impact of the COVID‐19 Lockdowns on Urban NO(2) From Natural Variability Goldberg, Daniel L. Anenberg, Susan C. Griffin, Debora McLinden, Chris A. Lu, Zifeng Streets, David G. Geophys Res Lett Research Letters TROPOMI satellite data show substantial drops in nitrogen dioxide (NO(2)) during COVID‐19 physical distancing. To attribute NO(2) changes to NO( x ) emissions changes over short timescales, one must account for meteorology. We find that meteorological patterns were especially favorable for low NO(2) in much of the United States in spring 2020, complicating comparisons with spring 2019. Meteorological variations between years can cause column NO(2) differences of ~15% over monthly timescales. After accounting for solar angle and meteorological considerations, we calculate that NO(2) 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(2) drops (>30%) were in San Jose, Los Angeles, and Toronto, and smallest drops (<12%) were in Miami, Minneapolis, and Dallas. These normalized NO(2) changes can be used to highlight locations with greater activity changes and better understand the sources contributing to adverse air quality in each city. John Wiley and Sons Inc. 2020-09-05 2020-09-16 /pmc/articles/PMC7461033/ /pubmed/32904906 http://dx.doi.org/10.1029/2020GL089269 Text en ©2020. The Authors. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Letters
Goldberg, Daniel L.
Anenberg, Susan C.
Griffin, Debora
McLinden, Chris A.
Lu, Zifeng
Streets, David G.
Disentangling the Impact of the COVID‐19 Lockdowns on Urban NO(2) From Natural Variability
title Disentangling the Impact of the COVID‐19 Lockdowns on Urban NO(2) From Natural Variability
title_full Disentangling the Impact of the COVID‐19 Lockdowns on Urban NO(2) From Natural Variability
title_fullStr Disentangling the Impact of the COVID‐19 Lockdowns on Urban NO(2) From Natural Variability
title_full_unstemmed Disentangling the Impact of the COVID‐19 Lockdowns on Urban NO(2) From Natural Variability
title_short Disentangling the Impact of the COVID‐19 Lockdowns on Urban NO(2) From Natural Variability
title_sort disentangling the impact of the covid‐19 lockdowns on urban no(2) from natural variability
topic Research Letters
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7461033/
https://www.ncbi.nlm.nih.gov/pubmed/32904906
http://dx.doi.org/10.1029/2020GL089269
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