Cargando…
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)...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1783576707855286272 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7461033 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT goldbergdaniell disentanglingtheimpactofthecovid19lockdownsonurbanno2fromnaturalvariability AT anenbergsusanc disentanglingtheimpactofthecovid19lockdownsonurbanno2fromnaturalvariability AT griffindebora disentanglingtheimpactofthecovid19lockdownsonurbanno2fromnaturalvariability AT mclindenchrisa disentanglingtheimpactofthecovid19lockdownsonurbanno2fromnaturalvariability AT luzifeng disentanglingtheimpactofthecovid19lockdownsonurbanno2fromnaturalvariability AT streetsdavidg disentanglingtheimpactofthecovid19lockdownsonurbanno2fromnaturalvariability |