Selected article for: "China province and pandemic outbreak"

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
Title: Satellite-based estimates of decline and rebound in China’s CO(2) emissions during COVID-19 pandemic
  • Cord-id: yboo2wod
  • Document date: 2020_12_2
  • ID: yboo2wod
    Snippet: 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
    Document: 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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