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Spatiotemporal impacts of COVID-19 on air pollution in California, USA
Various recent studies have shown that societal efforts to mitigate (e.g. “lockdown”) the outbreak of the 2019 coronavirus disease (COVID-19) caused non-negligible impacts on the environment, especially air quality. To examine if interventional policies due to COVID-19 have had a similar impact in t...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7416771/ https://www.ncbi.nlm.nih.gov/pubmed/32882494 http://dx.doi.org/10.1016/j.scitotenv.2020.141592 |
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author | Liu, Qian Harris, Jackson T. Chiu, Long S. Sun, Donglian Houser, Paul R. Yu, Manzhu Duffy, Daniel Q. Little, Michael M. Yang, Chaowei |
author_facet | Liu, Qian Harris, Jackson T. Chiu, Long S. Sun, Donglian Houser, Paul R. Yu, Manzhu Duffy, Daniel Q. Little, Michael M. Yang, Chaowei |
author_sort | Liu, Qian |
collection | PubMed |
description | Various recent studies have shown that societal efforts to mitigate (e.g. “lockdown”) the outbreak of the 2019 coronavirus disease (COVID-19) caused non-negligible impacts on the environment, especially air quality. To examine if interventional policies due to COVID-19 have had a similar impact in the US state of California, this paper investigates the spatiotemporal patterns and changes in air pollution before, during and after the lockdown of the state, comparing the air quality measurements in 2020 with historical averages from 2015 to 2019. Through time series analysis, a sudden drop and uptick of air pollution are found around the dates when shutdown and reopening were ordered, respectively. The spatial patterns of nitrogen dioxide (NO(2)) tropospheric vertical column density (TVCD) show a decreasing trend over the locations of major powerplants and an increasing trend over residential areas near interactions of national highways. Ground-based observations around California show a 38%, 49%, and 31% drop in the concentration of NO(2), carbon monoxide (CO) and particulate matter 2.5 (PM(2.5)) during the lockdown (March 19–May 7) compared to before (January 26–March 18) in 2020. These are 16%, 25% and 19% sharper than the means of the previous five years in the same periods, respectively. Our study offers evidence of the environmental impact introduced by COVID-19, and insight into related economic influences. |
format | Online Article Text |
id | pubmed-7416771 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74167712020-08-10 Spatiotemporal impacts of COVID-19 on air pollution in California, USA Liu, Qian Harris, Jackson T. Chiu, Long S. Sun, Donglian Houser, Paul R. Yu, Manzhu Duffy, Daniel Q. Little, Michael M. Yang, Chaowei Sci Total Environ Article Various recent studies have shown that societal efforts to mitigate (e.g. “lockdown”) the outbreak of the 2019 coronavirus disease (COVID-19) caused non-negligible impacts on the environment, especially air quality. To examine if interventional policies due to COVID-19 have had a similar impact in the US state of California, this paper investigates the spatiotemporal patterns and changes in air pollution before, during and after the lockdown of the state, comparing the air quality measurements in 2020 with historical averages from 2015 to 2019. Through time series analysis, a sudden drop and uptick of air pollution are found around the dates when shutdown and reopening were ordered, respectively. The spatial patterns of nitrogen dioxide (NO(2)) tropospheric vertical column density (TVCD) show a decreasing trend over the locations of major powerplants and an increasing trend over residential areas near interactions of national highways. Ground-based observations around California show a 38%, 49%, and 31% drop in the concentration of NO(2), carbon monoxide (CO) and particulate matter 2.5 (PM(2.5)) during the lockdown (March 19–May 7) compared to before (January 26–March 18) in 2020. These are 16%, 25% and 19% sharper than the means of the previous five years in the same periods, respectively. Our study offers evidence of the environmental impact introduced by COVID-19, and insight into related economic influences. Elsevier B.V. 2021-01-01 2020-08-10 /pmc/articles/PMC7416771/ /pubmed/32882494 http://dx.doi.org/10.1016/j.scitotenv.2020.141592 Text en © 2020 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Liu, Qian Harris, Jackson T. Chiu, Long S. Sun, Donglian Houser, Paul R. Yu, Manzhu Duffy, Daniel Q. Little, Michael M. Yang, Chaowei Spatiotemporal impacts of COVID-19 on air pollution in California, USA |
title | Spatiotemporal impacts of COVID-19 on air pollution in California, USA |
title_full | Spatiotemporal impacts of COVID-19 on air pollution in California, USA |
title_fullStr | Spatiotemporal impacts of COVID-19 on air pollution in California, USA |
title_full_unstemmed | Spatiotemporal impacts of COVID-19 on air pollution in California, USA |
title_short | Spatiotemporal impacts of COVID-19 on air pollution in California, USA |
title_sort | spatiotemporal impacts of covid-19 on air pollution in california, usa |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7416771/ https://www.ncbi.nlm.nih.gov/pubmed/32882494 http://dx.doi.org/10.1016/j.scitotenv.2020.141592 |
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