基于OCO-2/3卫星的中国超大型燃煤电厂CO_(2)排放量的遥感反演  

Remote sensing inversion of CO_(2) emissions from super-large coal-fired power plants in China based on OCO-2/3 satellite

作　　者：郭文月 石玉胜 GUO Wenyue;SHI Yusheng(Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China;University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]中国科学院空天信息创新研究院,北京100094 [2]中国科学院大学,北京100049

出　　处：《中国科学院大学学报（中英文）》2024年第4期490-502,共13页Journal of University of Chinese Academy of Sciences

基　　金：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);中国科学院人才项目(Y8YR2200QM)资助。

摘　　要：基于轨道碳观测者2/3(OCO-2/3)卫星数据和高斯羽流模型对发电厂CO_(2)排放量进行遥感反演。首先基于OCO-2(2014-09-06—2021-10-01)和OCO-3(2019-08-06—2021-10-01)数据检索中国超大型燃煤电厂(≥5000 MW)附近图像,共在托克托、嘉兴、外高桥电厂附近识别到7个CO_(2)羽流。综合利用3种大气背景值确定方法,经过高斯羽流模型估算的CO_(2)排放量范围为43~77 kt/d,模型拟合的相关系数0.50~0.87。单个羽流的不确定性变化为8%~32%(1σ),风速是最大的不确定性(6%~31%),其次是背景值(5%~18%)、增强值(1%~21%)和羽流上升(1%~8%)。经验证,估算结果与碳监测行动、碳简报、全球电厂排放数据库等排放清单一致性较高(托克托:(76.48±15.75)kt/d、外高桥:(55.98±6.90)kt/d、嘉兴:(64.55±15.89)kt/d)。这项研究有助于监测点源碳排放,这不仅是电力行业开展碳减排的前提,也有助于针对性制定区域碳减排政策,从而减少人为碳排放。Coal-fired power plants are important contributors to CO_(2) emissions in China.Due to the low timeliness of statistical data and inaccurate emission factors,the existing emission inventories gradually fail to reflect the CO_(2) emissions of power plants.This study provides a method to estimate CO_(2) 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(≥5000 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 CO_(2) 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 

分 类 号：P407[天文地球—大气科学及气象学]