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

被引:129
|
作者
Zheng, Bo [1 ,2 ]
Geng, Guannan [3 ]
Ciais, Philippe [1 ]
Davis, Steven J. [4 ,5 ]
Martin, Randall, V [6 ,7 ,8 ]
Meng, Jun [6 ,7 ]
Wu, Nana [2 ]
Chevallier, Frederic [1 ]
Broquet, Gregoire [1 ]
Boersma, Folkert [9 ,10 ]
van der Ronald, A. [9 ,11 ]
Lin, Jintai [12 ]
Guan, Dabo [2 ]
Lei, Yu [13 ]
He, Kebin [3 ]
Zhang, Qiang [2 ]
机构
[1] Univ Paris Saclay, Lab Sci Climat & Environm, LSCE IPSL, CEA CNRS UVSQ, Gif Sur Yvette, France
[2] Tsinghua Univ, Dept Earth Syst Sci, Minist Educ, Key Lab Earth Syst Modeling, Beijing, Peoples R China
[3] Tsinghua Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Con, Beijing, Peoples R China
[4] Univ Calif Irvine, Dept Earth Syst Sci, Irvine, CA USA
[5] Univ Calif Irvine, Dept Civil & Environm Engn, Irvine, CA USA
[6] Washington Univ, Dept Energy Environm & Chem Engn, St Louis, MO 63110 USA
[7] Dalhousie Univ, Dept Phys & Atmospher Sci, Halifax, NS, Canada
[8] Harvard Smithsonian Ctr Astrophys, 60 Garden St, Cambridge, MA 02138 USA
[9] Royal Netherlands Meteorol Inst KNMI, De Bilt, Netherlands
[10] Wageningen Univ, Environm Sci Grp, Wageningen, Netherlands
[11] Nanjing Univ Informat Sci & Technol NUIST, 219 Ningliu Rd, Nanjing, Jiangsu, Peoples R China
[12] Peking Univ, Sch Phys, Dept Atmospher & Ocean Sci, Lab Climate & Ocean Atmosphere Studies, Beijing, Peoples R China
[13] Chinese Acad Environm Planning, Beijing, Peoples R China
来源
SCIENCE ADVANCES | 2020年 / 6卷 / 49期
基金
欧盟地平线“2020”; 中国国家自然科学基金;
关键词
CARBON-DIOXIDE EMISSIONS; TROPOSPHERIC NO2 COLUMNS; FIRED POWER-PLANTS; ANTHROPOGENIC EMISSIONS; EAST-ASIA; INVENTORIES; COAL; TROPOMI; TRENDS;
D O I
10.1126/sciadv.abd4998
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 NOx 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.
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页数:10
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