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Characterizing the interruption-recovery patterns of urban air pollution under the COVID-19 lockdown in China
The COVID-19 pandemic provides an opportunity to study the effects of urban lockdown policies on the variation in pollutant concentrations and to characterize the recovery patterns of urban air pollution under the interruption of COVID-19 lockdown policies. In this paper, interruption-recovery model...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8354860/ https://www.ncbi.nlm.nih.gov/pubmed/34393324 http://dx.doi.org/10.1016/j.buildenv.2021.108231 |
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author | Cai, Wan-Jin Wang, Hong-Wei Wu, Cui-Lin Lu, Kai-Fa Peng, Zhong-Ren He, Hong-Di |
author_facet | Cai, Wan-Jin Wang, Hong-Wei Wu, Cui-Lin Lu, Kai-Fa Peng, Zhong-Ren He, Hong-Di |
author_sort | Cai, Wan-Jin |
collection | PubMed |
description | The COVID-19 pandemic provides an opportunity to study the effects of urban lockdown policies on the variation in pollutant concentrations and to characterize the recovery patterns of urban air pollution under the interruption of COVID-19 lockdown policies. In this paper, interruption-recovery models and regression discontinuity design were developed to characterize air pollution interruption-recovery patterns and analyze environmental impacts of the COVID-19 lockdown, using air pollution data from four Chinese metropolises (i.e., Shanghai, Wuhan, Tianjin, and Guangzhou). The results revealed the air pollutant interruption-recovery curve represented by the three lockdown response periods (Level I, Level II and Level III) during COVID-19. The curve decreased during Level I (A 25.3%–48.8% drop in the concentration of NO(2) has been observed in the four metropolises compared with the same period in 2018–2019.), then recovered around reopening, but decreased again during Level III. Moreover, the interruption-recovery curve of the year-on-year air pollution difference suggests a process of first decreasing during Level I and gradually recovering to a new equilibrium during Level III (e.g., the unit cumulative difference of NO(2) mass concentrations in Shanghai was 21.7, 22.5, 11.3 (μg/m(3)) during Level I, II, and III and other metropolises shared similar results). Our findings reveal general trends in the air quality externality of different lockdown policies, hence could provide valuable insights into air pollutant interruption-recovery patterns and clear scientific guides for policymakers to estimate the effect of different lockdown policies on urban air quality. |
format | Online Article Text |
id | pubmed-8354860 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83548602021-08-11 Characterizing the interruption-recovery patterns of urban air pollution under the COVID-19 lockdown in China Cai, Wan-Jin Wang, Hong-Wei Wu, Cui-Lin Lu, Kai-Fa Peng, Zhong-Ren He, Hong-Di Build Environ Article The COVID-19 pandemic provides an opportunity to study the effects of urban lockdown policies on the variation in pollutant concentrations and to characterize the recovery patterns of urban air pollution under the interruption of COVID-19 lockdown policies. In this paper, interruption-recovery models and regression discontinuity design were developed to characterize air pollution interruption-recovery patterns and analyze environmental impacts of the COVID-19 lockdown, using air pollution data from four Chinese metropolises (i.e., Shanghai, Wuhan, Tianjin, and Guangzhou). The results revealed the air pollutant interruption-recovery curve represented by the three lockdown response periods (Level I, Level II and Level III) during COVID-19. The curve decreased during Level I (A 25.3%–48.8% drop in the concentration of NO(2) has been observed in the four metropolises compared with the same period in 2018–2019.), then recovered around reopening, but decreased again during Level III. Moreover, the interruption-recovery curve of the year-on-year air pollution difference suggests a process of first decreasing during Level I and gradually recovering to a new equilibrium during Level III (e.g., the unit cumulative difference of NO(2) mass concentrations in Shanghai was 21.7, 22.5, 11.3 (μg/m(3)) during Level I, II, and III and other metropolises shared similar results). Our findings reveal general trends in the air quality externality of different lockdown policies, hence could provide valuable insights into air pollutant interruption-recovery patterns and clear scientific guides for policymakers to estimate the effect of different lockdown policies on urban air quality. Elsevier Ltd. 2021-11 2021-08-11 /pmc/articles/PMC8354860/ /pubmed/34393324 http://dx.doi.org/10.1016/j.buildenv.2021.108231 Text en © 2021 Elsevier Ltd. 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 Cai, Wan-Jin Wang, Hong-Wei Wu, Cui-Lin Lu, Kai-Fa Peng, Zhong-Ren He, Hong-Di Characterizing the interruption-recovery patterns of urban air pollution under the COVID-19 lockdown in China |
title | Characterizing the interruption-recovery patterns of urban air pollution under the COVID-19 lockdown in China |
title_full | Characterizing the interruption-recovery patterns of urban air pollution under the COVID-19 lockdown in China |
title_fullStr | Characterizing the interruption-recovery patterns of urban air pollution under the COVID-19 lockdown in China |
title_full_unstemmed | Characterizing the interruption-recovery patterns of urban air pollution under the COVID-19 lockdown in China |
title_short | Characterizing the interruption-recovery patterns of urban air pollution under the COVID-19 lockdown in China |
title_sort | characterizing the interruption-recovery patterns of urban air pollution under the covid-19 lockdown in china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8354860/ https://www.ncbi.nlm.nih.gov/pubmed/34393324 http://dx.doi.org/10.1016/j.buildenv.2021.108231 |
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