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Satellite-based estimates of decline and rebound in China’s CO(2) emissions during COVID-19 pandemic

Changes in CO(2) emissions during the COVID-19 pandemic have been estimated from indicators on activities like transportation and electricity generation. Here, we instead use satellite observations together with bottom-up information to track the daily dynamics of CO(2) emissions during the pandemic...

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Autores principales: Zheng, Bo, Geng, Guannan, Ciais, Philippe, Davis, Steven J., Martin, Randall V., Meng, Jun, Wu, Nana, Chevallier, Frederic, Broquet, Gregoire, Boersma, Folkert, van der A, Ronald, Lin, Jintai, Guan, Dabo, Lei, Yu, He, Kebin, Zhang, Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7821878/
https://www.ncbi.nlm.nih.gov/pubmed/33268360
http://dx.doi.org/10.1126/sciadv.abd4998
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author Zheng, Bo
Geng, Guannan
Ciais, Philippe
Davis, Steven J.
Martin, Randall V.
Meng, Jun
Wu, Nana
Chevallier, Frederic
Broquet, Gregoire
Boersma, Folkert
van der A, Ronald
Lin, Jintai
Guan, Dabo
Lei, Yu
He, Kebin
Zhang, Qiang
author_facet Zheng, Bo
Geng, Guannan
Ciais, Philippe
Davis, Steven J.
Martin, Randall V.
Meng, Jun
Wu, Nana
Chevallier, Frederic
Broquet, Gregoire
Boersma, Folkert
van der A, Ronald
Lin, Jintai
Guan, Dabo
Lei, Yu
He, Kebin
Zhang, Qiang
author_sort Zheng, Bo
collection PubMed
description Changes in CO(2) emissions during the COVID-19 pandemic have been estimated from indicators on activities like transportation and electricity generation. Here, we instead use satellite observations together with bottom-up information to track the daily dynamics of CO(2) emissions during the pandemic. Unlike activity data, our observation-based analysis deploys independent measurement of pollutant concentrations in the atmosphere to correct misrepresentation in the bottom-up data and can provide more detailed insights into spatially explicit changes. Specifically, we use TROPOMI observations of NO(2) to deduce 10-day moving averages of NO(x) and CO(2) emissions over China, differentiating emissions by sector and province. Between January and April 2020, China’s CO(2) emissions fell by 11.5% compared to the same period in 2019, but emissions have since rebounded to pre-pandemic levels before the coronavirus outbreak at the beginning of January 2020 owing to the fast economic recovery in provinces where industrial activity is concentrated.
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spelling pubmed-78218782021-01-29 Satellite-based estimates of decline and rebound in China’s CO(2) emissions during COVID-19 pandemic Zheng, Bo Geng, Guannan Ciais, Philippe Davis, Steven J. Martin, Randall V. Meng, Jun Wu, Nana Chevallier, Frederic Broquet, Gregoire Boersma, Folkert van der A, Ronald Lin, Jintai Guan, Dabo Lei, Yu He, Kebin Zhang, Qiang Sci Adv Research Articles Changes in CO(2) emissions during the COVID-19 pandemic have been estimated from indicators on activities like transportation and electricity generation. Here, we instead use satellite observations together with bottom-up information to track the daily dynamics of CO(2) emissions during the pandemic. Unlike activity data, our observation-based analysis deploys independent measurement of pollutant concentrations in the atmosphere to correct misrepresentation in the bottom-up data and can provide more detailed insights into spatially explicit changes. Specifically, we use TROPOMI observations of NO(2) to deduce 10-day moving averages of NO(x) and CO(2) emissions over China, differentiating emissions by sector and province. Between January and April 2020, China’s CO(2) emissions fell by 11.5% compared to the same period in 2019, but emissions have since rebounded to pre-pandemic levels before the coronavirus outbreak at the beginning of January 2020 owing to the fast economic recovery in provinces where industrial activity is concentrated. American Association for the Advancement of Science 2020-12-02 /pmc/articles/PMC7821878/ /pubmed/33268360 http://dx.doi.org/10.1126/sciadv.abd4998 Text en Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Zheng, Bo
Geng, Guannan
Ciais, Philippe
Davis, Steven J.
Martin, Randall V.
Meng, Jun
Wu, Nana
Chevallier, Frederic
Broquet, Gregoire
Boersma, Folkert
van der A, Ronald
Lin, Jintai
Guan, Dabo
Lei, Yu
He, Kebin
Zhang, Qiang
Satellite-based estimates of decline and rebound in China’s CO(2) emissions during COVID-19 pandemic
title Satellite-based estimates of decline and rebound in China’s CO(2) emissions during COVID-19 pandemic
title_full Satellite-based estimates of decline and rebound in China’s CO(2) emissions during COVID-19 pandemic
title_fullStr Satellite-based estimates of decline and rebound in China’s CO(2) emissions during COVID-19 pandemic
title_full_unstemmed Satellite-based estimates of decline and rebound in China’s CO(2) emissions during COVID-19 pandemic
title_short Satellite-based estimates of decline and rebound in China’s CO(2) emissions during COVID-19 pandemic
title_sort satellite-based estimates of decline and rebound in china’s co(2) emissions during covid-19 pandemic
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7821878/
https://www.ncbi.nlm.nih.gov/pubmed/33268360
http://dx.doi.org/10.1126/sciadv.abd4998
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