Assessment of thermal power plant CO2 emissions quantification performance and uncertainty of measurements by ground-based remote sensing
文献类型：期刊论文
| 作者 | Li, Chao1,2,3; Wang, Xianhua1,2,3 ; Ye, Hanhan1,3; Wu, Shichao1,3; Shi, Hailiang1,2,3; An, Yuan1,2,3; Sun, Erchang1,2,3
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| 刊名 | ENVIRONMENTAL POLLUTION
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| 出版日期 | 2024-11-15 |
| 卷号 | 361 |
| 关键词 | Thermal power plant CO (2 )emission Ground-based measurement Surface buildings Observation and plume geometry |
| ISSN号 | 0269-7491 |
| DOI | 10.1016/j.envpol.2024.124886 |
| 通讯作者 | Wang, Xianhua(xhwang@aiofm.ac.cn) |
| 英文摘要 | Thermal power plants serve as significant CO2 sources, and accurate monitoring of their emissions is crucial for improving the precision of global carbon emission estimates. In this study, a measurement method based on measuring point source plumes was employed in ground-based remote sensing experiments at the thermal power plant. By simulating CO2 plumes, we analyzed the impact of surrounding urban structures, the geometric relationship between measurement points and plumes, and the influence on measurement points selection. We also assessed the capability and uncertainties in quantifying CO2 emissions. For the Hefei power plant, CO2 emission estimates were on average 7.98 +/- 10.01 kg/s higher with surface buildings compared to scenarios without buildings (approximately 4.09% error). By selectively filtering discrete data, the emission estimation errors were significantly reduced by 7.31 +/- 7.13 kg/s compared to pre-filtered data. Regarding the relationship between observation paths and plume geometry, simulation studies indicated that the ability to estimate CO(2 )emissions varied for near and middle segment observations. The lowest emission rate error was found in the mid-segment near 1.5-2.0 km, reaching 7.13 +/- 5.39 kg/s. CO2 distribution at the mid-segment position becomes more uniform relative to the near segment, making it more suitable for meeting emission estimation requirements. Optimizing measurement schemes by considering environmental factors and precisely selecting measurement points significantly enhances emission estimation accuracy, providing crucial technical support for top-down estimates of anthropogenic CO(2 )emissions. |
| WOS关键词 | GREENHOUSE-GAS EMISSIONS ; LOW WIND-SPEED ; SPECTROMETERS ; VERIFICATION ; POLLUTANTS ; DISPERSION ; INVENTORY ; SATELLITE ; BIASES ; MODEL |
| 资助项目 | National Key R &D Program of China[2021YFE0118000] ; National Natural Science Foundation of China (NSFC) Young Scientist Fund[42205146] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001313413600001 |
| 出版者 | ELSEVIER SCI LTD |
| 资助机构 | National Key R &D Program of China ; National Natural Science Foundation of China (NSFC) Young Scientist Fund |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/135233]  |
| 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, 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. Assessment of thermal power plant CO2 emissions quantification performance and uncertainty of measurements by ground-based remote sensing[J]. ENVIRONMENTAL POLLUTION,2024,361. |
| APA | Li, Chao.,Wang, Xianhua.,Ye, Hanhan.,Wu, Shichao.,Shi, Hailiang.,...&Sun, Erchang.(2024).Assessment of thermal power plant CO2 emissions quantification performance and uncertainty of measurements by ground-based remote sensing.ENVIRONMENTAL POLLUTION,361. |
| MLA | Li, Chao,et al."Assessment of thermal power plant CO2 emissions quantification performance and uncertainty of measurements by ground-based remote sensing".ENVIRONMENTAL POLLUTION 361(2024). |
入库方式： OAI收割
来源：合肥物质科学研究院
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