| Literature DB >> 33268360 |
Bo Zheng1,2, Guannan Geng3, Philippe Ciais1, Steven J Davis4,5, Randall V Martin6,7,8, Jun Meng6,7, Nana Wu2, Frederic Chevallier1, Gregoire Broquet1, Folkert Boersma9,10, Ronald van der A9,11, Jintai Lin12, Dabo Guan2, Yu Lei13, Kebin He3, Qiang Zhang14.
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.Entities:
Year: 2020 PMID: 33268360 DOI: 10.1126/sciadv.abd4998
Source DB: PubMed Journal: Sci Adv ISSN: 2375-2548 Impact factor: 14.136