SU Debin,CHEN Lixu,YAO Lu,et al.Estimation of Carbon Dioxide Emission in Sichuan Province based on OCO-2 Observation[J].Journal of Chengdu University of Information Technology,2024,39(04):409-415.[doi:10.16836/j.cnki.jcuit.2024.04.003]
基于轨道碳观测卫星2号的四川省二氧化碳排放量估算
- Title:
- Estimation of Carbon Dioxide Emission in Sichuan Province based on OCO-2 Observation
- 文章编号:
- 2096-1618(2024)04-0409-07
- Keywords:
- satellite observation; Gaussian plume model; carbon dioxide; orbiting carbon observatory 2; emission estimation
- 分类号:
- TP79
- 文献标志码:
- A
- 摘要:
- 为实时量化区域大气二氧化碳(CO2)排放和监控地面CO2浓度变化,利用2014年9月6日至2021年12月31日轨道碳观测卫星2号卫星观测数据,通过获取经过四川地区的有效轨道观测数据,对当地CO2羽流进行识别,基于曲线积分方法,结合ERA5再分析风场资料,对四川省CO2排放进行估算。研究结果表明,利用OCO-2卫星观测数据可有效估算区域CO2截面通量,估算结果在0.08～4.78 kt/h,不确定度介于0.0031～0.2692 kt/h,除个别案例,不确定度占比在1.1%～8.46%,其估算结果与全球大气研究排放数据库和人为二氧化碳的开源数据清单两种排放清单的估算结果呈弱相关。
- Abstract:
- In order to quantifying real-time regional carbon dioxide(CO2)emissions in the atmospherea and monitoring changes in ground-level CO2 concentrations, the study utilized OCO-2(orbiting carbon observatory-2)satellite observation data from September 6, 2014, to December 31, 2021. By obtaining effective orbital observations passing through the Sichuan region, the CO2 plumes in the area were identified using a curve intergration method. Combined with ERA5 reanalysis wind field data, CO2 emissions in Sichuan Province were estimated. The research findings indicate that OCO-2 satellite observation data can effectively estimate regional CO2 cross-sectional flux. The estimation values range from 0.08 to 4.78 kt/h, with uncertainties ranging from 0.0031 to 0.2692 kt/h. Except for individual cases, the percentage of uncertainties ranges from 1.1% to 8.46%.The estimated results show a weak correlation with the estimates from two emission inventories, EDGAR(emissions database for global atmospheric research)and ODIAC(open-source data inventory for anthropogenic CO2).
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备注/Memo
收稿日期:2023-04-26
基金项目:科技部国家重点研发计划资助项目(2018YFC1506605)
通信作者:姚璐.E-mail:yaolu@mail.iap.ac.cn