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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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Detalles Bibliográficos
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
Descripción
Sumario: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.