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- Title
Quantifying CH<sub>4</sub> emissions from coal mine aggregation areas in Shanxi, China using TROPOMI observations and the wind-assigned anomaly method.
- Authors
Qiansi Tu; Hase, Frank; Kai Qin; Cohen, Jason Blake; Khosrawi, Farahnaz; Xinrui Zou; Schneider, Matthias; Fan Lu
- Abstract
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 process 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) CH4 observations from May 2018 to May 2023, coupled with ERA5 wind covering the Changzhi, Jincheng and Yangquan regions. The derived emission strengths are 8.4× 1026 ± 1.6 × 1025 molec. s-1 (0.706 ± 0.013 Tg yr-1), 1.4 × 1027 ± 1.9 × 1025 molec. s-1 (1.176 ± 0.016 Tg yr-1), and 4.9 × 1026± 1.8 × 1025 molec. s-1 (0.412 ± 0.015 Tg yr-1), respectively. Our results exhibit biases of -18%, 8%, and 14% when compared to the bottom-up inventory. Larger discrepancies are found when comparing the estimates to the CAMS-GLOB-ANT and EDGARv7.0 inventories. This suggests that the two inventories may be overestimating the CH4 emissions in the Jincheng and Yangquan regions. Our estimates provide a comprehensive characterization of the regions within the Shanxi province, contribute to the validation of emission inventories, and help to develop climate mitigation strategies.
- Subjects
SHANXI Sheng (China); COAL mining; EMISSION inventories; CLIMATE change mitigation; INVENTORIES; METHANE
- Publication
Atmospheric Chemistry & Physics Discussions, 2023, p1
- ISSN
1680-7367
- Publication type
Article
- DOI
10.5194/egusphere-2023-2155