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Anthropogenic CO(2) emission reduction during the COVID-19 pandemic in Nanchang City, China()

China is the largest CO(2) emitting country on Earth. During the COVID-19 pandemic, China implemented strict government control measures on both outdoor activity and industrial production. These control measures, therefore, were expected to significantly reduce anthropogenic CO(2) emissions. However...

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Autores principales: Hu, Cheng, Griffis, Timothy J., Xia, Lingjun, Xiao, Wei, Liu, Cheng, Xiao, Qitao, Huang, Xin, Yang, Yanrong, Zhang, Leying, Hou, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9299519/
https://www.ncbi.nlm.nih.gov/pubmed/35870528
http://dx.doi.org/10.1016/j.envpol.2022.119767
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author Hu, Cheng
Griffis, Timothy J.
Xia, Lingjun
Xiao, Wei
Liu, Cheng
Xiao, Qitao
Huang, Xin
Yang, Yanrong
Zhang, Leying
Hou, Bo
author_facet Hu, Cheng
Griffis, Timothy J.
Xia, Lingjun
Xiao, Wei
Liu, Cheng
Xiao, Qitao
Huang, Xin
Yang, Yanrong
Zhang, Leying
Hou, Bo
author_sort Hu, Cheng
collection PubMed
description China is the largest CO(2) emitting country on Earth. During the COVID-19 pandemic, China implemented strict government control measures on both outdoor activity and industrial production. These control measures, therefore, were expected to significantly reduce anthropogenic CO(2) emissions. However, large discrepancies still exist in the estimated anthropogenic CO(2) emission reduction rate caused by COVID-19 restrictions, with values ranging from 10% to 40% among different approaches. Here, we selected Nanchang city, located in eastern China, to examine the impact of COVID-19 on CO(2) emissions. Continuous atmospheric CO(2) and ground-level CO observations from January 1st to April 30th, 2019 to 2021 were used with the WRF-STILT atmospheric transport model and a priori emissions. And a multiplicative scaling factor and Bayesian inversion method were applied to constrain anthropogenic CO(2) emissions before, during, and after the COVID-19 pandemic. We found a 37.1–40.2% emission reduction when compared to the COVID-19 pandemic in 2020 with the same period in 2019. Carbon dioxide emissions from the power industry and manufacturing industry decreased by 54.5% and 18.9% during the pandemic period. The power industry accounted for 73.9% of total CO(2) reductions during COVID-19. Further, emissions in 2021 were 14.3–14.9% larger than in 2019, indicating that economic activity quickly recovered to pre-pandemic conditions.
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spelling pubmed-92995192022-07-21 Anthropogenic CO(2) emission reduction during the COVID-19 pandemic in Nanchang City, China() Hu, Cheng Griffis, Timothy J. Xia, Lingjun Xiao, Wei Liu, Cheng Xiao, Qitao Huang, Xin Yang, Yanrong Zhang, Leying Hou, Bo Environ Pollut Article China is the largest CO(2) emitting country on Earth. During the COVID-19 pandemic, China implemented strict government control measures on both outdoor activity and industrial production. These control measures, therefore, were expected to significantly reduce anthropogenic CO(2) emissions. However, large discrepancies still exist in the estimated anthropogenic CO(2) emission reduction rate caused by COVID-19 restrictions, with values ranging from 10% to 40% among different approaches. Here, we selected Nanchang city, located in eastern China, to examine the impact of COVID-19 on CO(2) emissions. Continuous atmospheric CO(2) and ground-level CO observations from January 1st to April 30th, 2019 to 2021 were used with the WRF-STILT atmospheric transport model and a priori emissions. And a multiplicative scaling factor and Bayesian inversion method were applied to constrain anthropogenic CO(2) emissions before, during, and after the COVID-19 pandemic. We found a 37.1–40.2% emission reduction when compared to the COVID-19 pandemic in 2020 with the same period in 2019. Carbon dioxide emissions from the power industry and manufacturing industry decreased by 54.5% and 18.9% during the pandemic period. The power industry accounted for 73.9% of total CO(2) reductions during COVID-19. Further, emissions in 2021 were 14.3–14.9% larger than in 2019, indicating that economic activity quickly recovered to pre-pandemic conditions. Elsevier Ltd. 2022-09-15 2022-07-20 /pmc/articles/PMC9299519/ /pubmed/35870528 http://dx.doi.org/10.1016/j.envpol.2022.119767 Text en © 2022 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
Hu, Cheng
Griffis, Timothy J.
Xia, Lingjun
Xiao, Wei
Liu, Cheng
Xiao, Qitao
Huang, Xin
Yang, Yanrong
Zhang, Leying
Hou, Bo
Anthropogenic CO(2) emission reduction during the COVID-19 pandemic in Nanchang City, China()
title Anthropogenic CO(2) emission reduction during the COVID-19 pandemic in Nanchang City, China()
title_full Anthropogenic CO(2) emission reduction during the COVID-19 pandemic in Nanchang City, China()
title_fullStr Anthropogenic CO(2) emission reduction during the COVID-19 pandemic in Nanchang City, China()
title_full_unstemmed Anthropogenic CO(2) emission reduction during the COVID-19 pandemic in Nanchang City, China()
title_short Anthropogenic CO(2) emission reduction during the COVID-19 pandemic in Nanchang City, China()
title_sort anthropogenic co(2) emission reduction during the covid-19 pandemic in nanchang city, china()
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9299519/
https://www.ncbi.nlm.nih.gov/pubmed/35870528
http://dx.doi.org/10.1016/j.envpol.2022.119767
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