Changes in CO 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 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 to deduce 10-day moving averages of NO and CO emissions over China, differentiating emissions by sector and province. Between January and April 2020, China's CO 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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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7821878 | PMC |
http://dx.doi.org/10.1126/sciadv.abd4998 | DOI Listing |
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