中国科学院大学学报2024，Vol.41Issue(4)：490-502,13.DOI:10.7523/j.ucas.2023.050
基于OCO-2/3卫星的中国超大型燃煤电厂CO2排放量的遥感反演
Remote sensing inversion of CO2 emissions from super-large coal-fired power plants in China based on OCO-2/3 satellite
摘要
Abstract
Coal-fired power plants are important contributors to CO2 emissions in China.Due to the low timeliness of statistical data and inaccurate emission factors,the existing emission inventories gradually fail to reflect the CO2 emissions of power plants.This study provides a method to estimate CO2 emissions from power plants based on Orbiting Carbon Observatory 2/3(OCO-2/3)satellite data and Gaussian plume model,retrieving the images of super-large coal-fired power plants(≥5 000 MW)in China from the OCO-2(September 6,2014-October 1,2021)and OCO-3(August 6,2019-October 1,2021)dataset,and identifying a total of seven plumes near Tuoketuo,Waigaoqiao,and Jiaxing power plants.Using a combination of three atmospheric background value determination methods,the CO2 emissions estimated by the Gaussian plume model range from 43 to 77 kt/d,with correlation coefficients ranging from 0.50 to 0.87.The uncertainties of individual plumes varied from 8％to 32％(1σ),with wind speed being the largest uncertainty(6％-31％),followed by background values(5％-18％),enhanced values(1％-21％),and plume rise(1％-8％).The estimates are verified to be in high agreement with Carbon Monitoring for Action,Carbon Brief,and the Global Power Emissions Database(Tuoketuo:(76.48±15.75),Waigaoqiao:(55.98±6.90),Jiaxing:(64.55±15.89)kt/d).This study helps monitor and estimate important point source carbon emissions,which is not only a prerequisite for the power industry to carry out carbon reduction efforts but also helps develop specific regional carbon reduction policies,thereby reducing anthropogenic carbon emissions.关键词
二氧化碳/高斯羽流模型/轨道碳观测者2号/轨道碳观测者3号/超大型燃煤电厂Key words
carbon dioxide/Gaussian plume model/Orbiting Carbon Observatory 2/Orbiting Carbon Observatory 3/super-large coal-fired power plant分类
天文与地球科学引用本文复制引用
郭文月,石玉胜..基于OCO-2/3卫星的中国超大型燃煤电厂CO2排放量的遥感反演[J].中国科学院大学学报,2024,41(4):490-502,13.基金项目
国家卫星气象中心风云三号03批气象卫星工程地面应用系统生态监测评估应用项目(第1期)(ZQC-R22227)、国家自然科学基金(42071398)、国家重点研发计划(2021YFB3901000)和中国科学院人才项目(Y8YR2200QM)资助 （第1期）
