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

Bo ZhengGuannan GengPhilippe CiaisSteven J DavisRandall V MartinJun MengNana WuFrédéric ChevallierGregoire BroquetKlaas Folkert BoersmaRonald van der AJintai LinDabo GuanYu LeiKebin HeQiang Zhang
Published in: Science advances (2020)
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.
Keyphrases
  • life cycle
  • municipal solid waste
  • sars cov
  • coronavirus disease
  • electronic health record
  • big data
  • machine learning
  • physical activity
  • risk assessment
  • artificial intelligence
  • anaerobic digestion