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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...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2020
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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. |
format | Online Article Text |
id | pubmed-7821878 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
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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