Anthropogenic CO2 emission reduction during the COVID-19 pandemic in Nanchang City, China

被引:25
作者
Hu, Cheng [1 ,2 ]
Griffis, Timothy J. [3 ]
Xia, Lingjun [4 ]
Xiao, Wei [5 ]
Liu, Cheng [6 ]
Xiao, Qitao [7 ]
Huang, Xin [8 ]
Yang, Yanrong [1 ]
Zhang, Leying [1 ]
Hou, Bo [1 ]
机构
[1] Nanjing Forestry Univ, Coll Biol & Environm, Joint Ctr Sustainable Forestry Southern China, Nanjing 210037, Peoples R China
[2] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteorol, Nanjing, Peoples R China
[3] Univ Minnesota Twin Cities, Dept Soil Water & Climate, St Paul, MN USA
[4] Ecol Meteorol Ctr, Jiangxi Meteorol Bur, Nanchang 330096, Peoples R China
[5] Nanjing Univ Informat, Yale NUIST Ctr Atmospher Environm, Int Joint Lab Climate & Environm Change ILCEC, Sci & Technol, Nanjing 210044, Peoples R China
[6] East China Univ Technol, Sch Water Resources & Environm Engn, Jiangxi Prov Key Lab Causes & Control Atmospher Po, Nanchang 330013, Peoples R China
[7] Chinese Acad Sci, Nanjing Inst Geog & Limnol, Key Lab Watershed Geog Sci, Nanjing 210008, Peoples R China
[8] Shaanxi Meteorol Bur, Key Lab Ecoenvironm & Meteorol Qinling Mt & Loess, Xian 710014, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
WRF-STILT model; City scale; Top -down method; Bayesian inversion method; ATMOSPHERIC CO2; METHANE;
D O I
10.1016/j.envpol.2022.119767
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
China is the largest CO2 emitting country on Earth. During the COVID-19 pandemic, China implemented strict government control measures on both outdoor activity and industrial production. These control measures, therefore, were expected to significantly reduce anthropogenic CO2 emissions. However, large discrepancies still exist in the estimated anthropogenic CO2 emission reduction rate caused by COVID-19 restrictions, with values ranging from 10% to 40% among different approaches. Here, we selected Nanchang city, located in eastern China, to examine the impact of COVID-19 on CO2 emissions. Continuous atmospheric CO2 and ground-level CO observations from January 1st to April 30th, 2019 to 2021 were used with the WRF-STILT atmospheric transport model and a priori emissions. And a multiplicative scaling factor and Bayesian inversion method were applied to constrain anthropogenic CO2 emissions before, during, and after the COVID-19 pandemic. We found a 37.1-40.2% emission reduction when compared to the COVID-19 pandemic in 2020 with the same period in 2019. Carbon dioxide emissions from the power industry and manufacturing industry decreased by 54.5% and 18.9% during the pandemic period. The power industry accounted for 73.9% of total CO2 reductions during COVID-19. Further, emissions in 2021 were 14.3-14.9% larger than in 2019, indicating that economic activity quickly recovered to pre-pandemic conditions.
引用
收藏
页数:11
相关论文
共 36 条
[1]   Estimating US fossil fuel CO2 emissions from measurements of 14C in atmospheric CO2 [J].
Basu, Sourish ;
Lehman, Scott J. ;
Miller, John B. ;
Andrews, Arlyn E. ;
Sweeney, Colm ;
Gurney, Kevin R. ;
Xu, Xiaomei ;
Southon, John ;
Tans, Pieter P. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2020, 117 (24) :13300-13307
[2]   Source attribution of the changes in atmospheric methane for 2006-2008 [J].
Bousquet, P. ;
Ringeval, B. ;
Pison, I. ;
Dlugokencky, E. J. ;
Brunke, E. -G. ;
Carouge, C. ;
Chevallier, F. ;
Fortems-Cheiney, A. ;
Frankenberg, C. ;
Hauglustaine, D. A. ;
Krummel, P. B. ;
Langenfelds, R. L. ;
Ramonet, M. ;
Schmidt, M. ;
Steele, L. P. ;
Szopa, S. ;
Yver, C. ;
Viovy, N. ;
Ciais, P. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2011, 11 (08) :3689-3700
[3]   Accounting for the vertical distribution of emissions in atmospheric CO2 simulations [J].
Brunner, Dominik ;
Kuhlmann, Gerrit ;
Marshal, Julia ;
Clement, Valentin ;
Fuhrer, Oliver ;
Broquet, Gregoire ;
Loscher, Armin ;
Meijer, Yasjka .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2019, 19 (07) :4541-4559
[4]   What can we learn from European continuous atmospheric CO2 measurements to quantify regional fluxes - Part 2: Sensitivity of flux accuracy to inverse setup [J].
Carouge, C. ;
Rayner, P. J. ;
Peylin, P. ;
Bousquet, P. ;
Chevallier, F. ;
Ciais, P. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2010, 10 (06) :3119-3129
[5]   Partitioning N2O emissions within the US Corn Belt using an inverse modeling approach [J].
Chen, Zichong ;
Griffis, Timothy J. ;
Millet, Dylan B. ;
Wood, Jeffrey D. ;
Lee, Xuhui ;
Baker, John M. ;
Xiao, Ke ;
Turner, Peter A. ;
Chen, Ming ;
Zobitz, John ;
Wells, Kelley C. .
GLOBAL BIOGEOCHEMICAL CYCLES, 2016, 30 (08) :1192-1205
[6]   NOx Emissions Reduction and Rebound in China Due to the COVID-19 Crisis [J].
Ding, J. ;
van der A, R. J. ;
Eskes, H. J. ;
Mijling, B. ;
Stavrakou, T. ;
van Geffen, J. H. G. M. ;
Veefkind, J. P. .
GEOPHYSICAL RESEARCH LETTERS, 2020, 47 (19)
[7]   In situ measurement of atmospheric CO2 at the four WMO/GAW stations in China [J].
Fang, S. X. ;
Zhou, L. X. ;
Tans, P. P. ;
Ciais, P. ;
Steinbacher, M. ;
Xu, L. ;
Luan, T. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2014, 14 (05) :2541-2554
[8]   What Are the Different Measures of Mobility Telling Us About Surface Transportation CO2 Emissions During the COVID-19 Pandemic? [J].
Gensheimer, Johannes ;
Turner, Alexander J. ;
Shekhar, Ankit ;
Wenzel, Adrian ;
Keutsch, Frank N. ;
Chen, Jia .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2021, 126 (11)
[9]   Nitrous oxide emissions are enhanced in a warmer and wetter world [J].
Griffis, Timothy J. ;
Chen, Zichong ;
Baker, John M. ;
Wood, Jeffrey D. ;
Millet, Dylan B. ;
Lee, Xuhui ;
Venterea, Rodney T. ;
Turner, Peter A. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2017, 114 (45) :12081-12085
[10]   Investigation of near-global daytime boundary layer height using high-resolution radiosondes: first results and comparison with ERA5, MERRA-2, JRA-55, and NCEP-2 reanalyses [J].
Guo, Jianping ;
Zhang, Jian ;
Yang, Kun ;
Liao, Hong ;
Zhang, Shaodong ;
Huang, Kaiming ;
Lv, Yanmin ;
Shao, Jia ;
Yu, Tao ;
Tong, Bing ;
Li, Jian ;
Su, Tianning ;
Yim, Steve H. L. ;
Stoffelen, Ad ;
Zhai, Panmao ;
Xu, Xiaofeng .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2021, 21 (22) :17079-17097