气候变化领域集成服务门户(CCPortal): Quantifying CH4 emissions from coal mine aggregation areas in Shanxi, China, using TROPOMI observations and the wind-assigned anomaly method

CCPortal

DOI	10.5194/acp-24-4875-2024
	Quantifying CH4 emissions from coal mine aggregation areas in Shanxi, China, using TROPOMI observations and the wind-assigned anomaly method
	Tu, Qiansi; Hase, Frank; Qin, Kai; Cohen, Jason Blake; Khosrawi, Farahnaz; Zou, Xinrui; Schneider, Matthias; Lu, Fan
发表日期	2024
ISSN	1680-7316
EISSN	1680-7324
起始页码	24
结束页码	8
卷号	24 期号:8
英文摘要	China stands out as a major contributor to anthropogenic methane (CH4 ) emissions, with coal mine methane (CMM) playing a crucial role. To control and reduce CH4 emissions, China has made a dedicated commitment and formulated an ambitious mitigation plan. To verify the progress made, the consistent acquisition of independent CH4 emission data is required. This paper aims to implement a wind-assigned anomaly method for the precise determination of regional-scale CMM emissions within the coal-rich Shanxi province. We use the TROPOspheric Monitoring Instrument (TROPOMI) CH 4 observations from May 2018 to May 2023, coupled with ERA5 wind and a bottom-up inventory dataset based on the IPCC (Intergovernmental Panel on Climate Change) Tier 2 approach covering the Changzhi, Jincheng, and Yangquan regions of the Shanxi province. The derived emission strengths are 8.4 x 10(26) molec. s (-1) (0.706 Tg yr (-1), +/- 25 %), 1.4 x 10(27) molec. s (-1) (1.176 Tg yr (-1) , +/- 20 %), and 4.9 x 10(26) molec. s (-1) (0.412 Tg yr (-1) , +/- 21 %), respectively. Our results exhibit biases of - 18 %, 8 %, and 14 %, respectively, when compared to the IPCC Tier 2 bottom-up inventory. Larger discrepancies are found when comparing the estimates to the Copernicus Atmosphere Monitoring Service global anthropogenic emissions (CAMS-GLOB-ANT) and Emissions Database for Global Atmospheric Research (EDGARv7.0) inventories (64 %-176 %), suggesting that the two inventories may be overestimating CH4 emissions from the studied coal mining regions. Our estimates provide a comprehensive characterization of the regions within the Shanxi province, contribute to the validation of emission inventories, and provide additional insights into CMM emission mitigation.
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS类目	Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:001207755300001
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/301428
作者单位	Tongji University; Helmholtz Association; Karlsruhe Institute of Technology; China University of Mining & Technology; Helmholtz Association; Research Center Julich
推荐引用方式 GB/T 7714	Tu, Qiansi,Hase, Frank,Qin, Kai,et al. Quantifying CH4 emissions from coal mine aggregation areas in Shanxi, China, using TROPOMI observations and the wind-assigned anomaly method[J],2024,24(8).
APA	Tu, Qiansi.,Hase, Frank.,Qin, Kai.,Cohen, Jason Blake.,Khosrawi, Farahnaz.,...&Lu, Fan.(2024).Quantifying CH4 emissions from coal mine aggregation areas in Shanxi, China, using TROPOMI observations and the wind-assigned anomaly method.ATMOSPHERIC CHEMISTRY AND PHYSICS,24(8).
MLA	Tu, Qiansi,et al."Quantifying CH4 emissions from coal mine aggregation areas in Shanxi, China, using TROPOMI observations and the wind-assigned anomaly method".ATMOSPHERIC CHEMISTRY AND PHYSICS 24.8(2024).