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Satellite-based estimates of decline and rebound in China's CO2 emissions during COVID-19 pandemic.


ABSTRACT: Changes in CO2 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 CO2 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 NO2 to deduce 10-day moving averages of NO x and CO2 emissions over China, differentiating emissions by sector and province. Between January and April 2020, China's CO2 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.

SUBMITTER: Zheng B 

PROVIDER: S-EPMC7821878 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Satellite-based estimates of decline and rebound in China's CO<sub>2</sub> emissions during COVID-19 pandemic.

Zheng Bo B   Geng Guannan G   Ciais Philippe P   Davis Steven J SJ   Martin Randall V RV   Meng Jun J   Wu Nana N   Chevallier Frederic F   Broquet Gregoire G   Boersma Folkert F   van der A Ronald R   Lin Jintai J   Guan Dabo D   Lei Yu Y   He Kebin K   Zhang Qiang Q  

Science advances 20201202 49


Changes in CO<sub>2</sub> 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<sub>2</sub> 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 dat  ...[more]

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