Quantification of CO2 Emissions from Three Power Plants in China Using OCO-3 Satellite Measurements

被引:0
|
作者
Yang, Yang [1 ,2 ,5 ]
Zhou, Minqiang [2 ,3 ,4 ]
Wang, Wei [1 ]
Ning, Zijun [1 ]
Zhang, Feng [6 ]
Wang, Pucai [2 ,3 ,4 ]
机构
[1] Jiaxing Univ, Coll Data Sci, Jiaxing 314000, Peoples R China
[2] Chinese Acad Sci, Inst Atmospher Phys, LAGEO, Beijing 100029, Peoples R China
[3] Chinese Acad Sci, Inst Atmospher Phys, CNRC, Beijing 100029, Peoples R China
[4] Chinese Acad Sci, Inst Atmospher Phys, Key Lab Atmospher Environm & Extreme Meteorol, Beijing 100029, Peoples R China
[5] Shanghai Ecol Forecasting & Remote Sensing Ctr, Shanghai 200030, Peoples R China
[6] Fudan Univ, Inst Atmospher Sci, Dept Atmospher & Ocean Sci, Shanghai 200082, Peoples R China
基金
中国国家自然科学基金;
关键词
OCO-3; power plant; CO2; emission; Gaussian Plume Model; ORBITING CARBON OBSERVATORY-2; ANTHROPOGENIC CO2; DIOXIDE; PERFORMANCE; RETRIEVALS; METHANE; SPACE;
D O I
10.1007/s00376-024-3293-9
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Coal-fired power plants are a major carbon source in China. In order to assess the evaluation of China's carbon reduction progress with the promise made on the Paris Agreement, it is crucial to monitor the carbon flux intensity from coal-fired power plants. Previous studies have calculated CO2 emissions from point sources based on Orbiting Carbon Observatory-2 and -3 (OCO-2 and OCO-3) satellite measurements, but the factors affecting CO2 flux estimations are uncertain. In this study, we employ a Gaussian Plume Model to estimate CO2 emissions from three power plants in China based on OCO-3 XCO2 measurements. Moreover, flux uncertainties resulting from wind information, background values, satellite CO2 measurements, and atmospheric stability are discussed. This study highlights the CO2 flux uncertainty derived from the satellite measurements. Finally, satellite-based CO2 emission estimates are compared to bottom-up inventories. The satellite-based CO2 emission estimates at the Tuoketuo and Nongliushi power plants are similar to 30 and similar to 10 kt d(-1) smaller than the Open-Data Inventory for Anthropogenic Carbon dioxide (ODIAC) respectively, but similar to 10 kt d(-1) larger than the ODIAC at Baotou.
引用
收藏
页数:13
相关论文
共 50 条
  • [41] Distinguishing Anthropogenic CO2 Emissions From Different Energy Intensive Industrial Sources Using OCO-2 Observations: A Case Study in Northern China
    Wang, Songhan
    Zhang, Yongguang
    Hakkarainen, Janne
    Ju, Weimin
    Liu, Yongxue
    Jiang, Fei
    He, Wei
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2018, 123 (17) : 9462 - 9473
  • [42] Retrieval anthropogenic CO2 emissions from OCO-2 and comparison with gridded emission inventories
    Jin, Chunlin
    Xue, Yong
    Yuan, Tao
    Zhao, Liang
    Jiang, Xingxing
    Sun, Yuxin
    Wu, Shuhui
    Wang, Xiangkai
    [J]. JOURNAL OF CLEANER PRODUCTION, 2024, 448
  • [43] Characterization of Aerosol and CO2 Co-Emissions around Power Plants through Satellite-Based Synergistic Observations
    Sun, Lu
    Yu, Siqi
    Liu, Dong
    [J]. REMOTE SENSING, 2024, 16 (09)
  • [44] CO2 in Beijing and Xianghe Observed by Ground-Based FTIR Column Measurements and Validation to OCO-2/3 Satellite Observations
    Zhou, Minqiang
    Ni, Qichen
    Cai, Zhaonan
    Langerock, Bavo
    Nan, Weidong
    Yang, Yang
    Che, Ke
    Yang, Dongxu
    Wang, Ting
    Liu, Yi
    Wang, Pucai
    [J]. REMOTE SENSING, 2022, 14 (15)
  • [45] Uncertainty quantification of CO2 emissions from China?s civil aviation industry to 2050
    Yang, Lishan
    Hu, Yu-Jie
    Wang, Honglei
    Li, Chengjiang
    Tang, Bao-Jun
    Wang, Binli
    Cui, Hefu
    [J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2023, 336
  • [46] Monitoring and quantifying CO2 emissions of isolated power plants fromspace
    Lin, Xiaojuan
    Ronald van der, A.
    de Laat, Jos
    Eskes, Henk
    Chevallier, Frederic
    Ciais, Philippe
    Deng, Zhu
    Geng, Yuanhao
    Song, Xuanren
    Ni, Xiliang
    Huo, Da
    Dou, Xinyu
    Liu, Zhu
    [J]. ATMOSPHERIC CHEMISTRY AND PHYSICS, 2023, 23 (11) : 6599 - 6611
  • [47] Minimization of life cycle CO2 emissions in steam and power plants
    Martinez, Pablo E.
    Eliceche, Ana M.
    [J]. CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY, 2009, 11 (01) : 49 - 57
  • [48] Minimization of life cycle CO2 emissions in steam and power plants
    Pablo E. Martinez
    Ana M. Eliceche
    [J]. Clean Technologies and Environmental Policy, 2009, 11 : 49 - 57
  • [49] Method for Calculating CO2 Emissions from the Power Sector at the Provincial Level in China
    Ma Cui-Mei
    Ge Quan-Sheng
    [J]. ADVANCES IN CLIMATE CHANGE RESEARCH, 2014, 5 (02) : 92 - 99
  • [50] Scenario analysis of CO2 emissions from China's electric power industry
    Meng, Ming
    Jing, Kaiqiang
    Mander, Sarah
    [J]. JOURNAL OF CLEANER PRODUCTION, 2017, 142 : 3101 - 3108