Evaluation of Simulated CO<sub>2</sub> Point Source Plumes from High-Resolution Atmospheric Transport Model

doi:10.3390/rs15184518

	Evaluation of Simulated CO₂ Point Source Plumes from High-Resolution Atmospheric Transport Model
	Li, Chao 1,2,3; Wang, Xianhua 1,2,3; Ye, Hanhan 1,3; Wu, Shichao 1,3; Shi, Hailiang 1,2,3; Luo, Haiyan 1,2,3; Li, Zhiwei 1,3; Xiong, Wei 1,2,3; Li, Dacheng 1,3; Sun, Erchang 1,2,3
刊名	REMOTE SENSING
	2023-09-01
卷号	15
关键词	CO2 point source the Lagrangian Particle Dispersion Theory Model the Adaptive Deep Learning Location Matching Method high-resolution DEM and artificial building elements wind field distribution CO2 plume morphology aerial flight observations
DOI	10.3390/rs15184518
通讯作者	Wang, Xianhua(xhwang@aiofm.ac.cn)
英文摘要	Coal-fired power plants, as major anthropogenic CO2 emission sources, constitute one of the largest contributors to global greenhouse gas emissions. Accurately calculating the dispersion process of CO2 emissions from these point sources is crucial, as it will aid in quantifying CO2 emissions using remote sensing measurements. Employing the Lagrangian Particle Dispersion Theory Model (LPDTM), our study involves modeling CO2 diffusion from point sources. Firstly, we incorporated high-resolution DEM (Digital Elevation Model) and artificial building elements obtained through the Adaptive Deep Learning Location Matching Method, which is involved in CO2 simulation. The accuracy of the results was verified using meteorological stations and aircraft measurements. Additionally, we quantitatively analyzed the influence of terrain and artificial building characteristics on high spatial resolution atmospheric CO2 diffusion simulations, revealing the significance of surface characteristics in dispersion modeling. To validate the accuracy of the LPDTM in high-resolution CO2 diffusion simulation, a comparative experiment was conducted at a power plant in Yangzhou, Jiangsu Province, China. The simulated result was compared with observation from aerial flights, yielding the R-2 (Correlation Coefficient) of 0.76, the RMSE (Root Mean Square Error) of 0.267 ppm, and the MAE (Mean Absolute Error) of 0.2315 ppm for the comparison of 73 pixels where the plume intersected with flight trajectories. The findings demonstrate a high level of consistency between the modeled CO2 point source plume morphology and concentration quantification and the actual observed outcomes. This study carried out a quantitative assessment of the influence of surface features on high-resolution atmospheric CO2 point source diffusion simulations, resulting in an enhanced accuracy of the simulated CO2 concentration field. It offers essential technological and theoretical foundations for the accurate quantification of anthropogenic CO2 emissions using top-down approaches.
资助项目	The Lagrangian Particle Dispersion Theory Model provided by Engineering and Scientific Consulting (Exponent, http://www.src.com/, accessed on 12 September 2023) is acknowledged with our gratitude. We would also like to acknowledge the 12.5 m ALO
WOS关键词	DISPERSION MODEL ; CH4 ; EMISSIONS ; SURFACE ; SENSITIVITY ; RETRIEVALS ; AEROSOL ; TROPOMI ; IMPACT ; ISLAND
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	MDPI
WOS记录号	WOS:001074920800001
资助机构	The Lagrangian Particle Dispersion Theory Model provided by Engineering and Scientific Consulting (Exponent, http://www.src.com/, accessed on 12 September 2023) is acknowledged with our gratitude. We would also like to acknowledge the 12.5 m ALO
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/132543]
专题	中国科学院合肥物质科学研究院
通讯作者	Wang, Xianhua
作者单位	1.Chinese Acad Sci, Hefei Inst Phys Sci, Key Lab Gen Opt Calibrat & Characterizat Technol, Hefei 230031, Peoples R China 2.Univ Sci & Technol China, Sci Isl Branch, Hefei 230026, Peoples R China 3.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Hefei Inst Phys Sci, Hefei 230031, Peoples R China
推荐引用方式 GB/T 7714	Li, Chao,Wang, Xianhua,Ye, Hanhan,et al. Evaluation of Simulated CO₂ Point Source Plumes from High-Resolution Atmospheric Transport Model[J]. REMOTE SENSING,2023,15.
APA	Li, Chao.,Wang, Xianhua.,Ye, Hanhan.,Wu, Shichao.,Shi, Hailiang.,...&An, Yuan.(2023).Evaluation of Simulated CO₂ Point Source Plumes from High-Resolution Atmospheric Transport Model.REMOTE SENSING,15.
MLA	Li, Chao,et al."Evaluation of Simulated CO₂ Point Source Plumes from High-Resolution Atmospheric Transport Model".REMOTE SENSING 15(2023).