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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...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2020
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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 |
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. |
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