气候变化领域集成服务门户(CCPortal): Quantifying CH4 emissions in hard coal mines from TROPOMI and IASI observations using the wind-assigned anomaly method

CCPortal

DOI	10.5194/acp-22-9747-2022
	Quantifying CH4 emissions in hard coal mines from TROPOMI and IASI observations using the wind-assigned anomaly method
	Tu, Qiansi; Schneider, Matthias; Hase, Frank; Khosrawi, Farahnaz; Ertl, Benjamin; Necki, Jaroslaw; Dubravica, Darko; Diekmann, Christopher J.; Blumenstock, Thomas; Fang, Dianjun
发表日期	2022
ISSN	1680-7316
EISSN	1680-7324
起始页码	9747
结束页码	9765
卷号	22 期号:15 页码:19
英文摘要	Intensive coal mining activities in the Upper Silesian Coal Basin (USCB) in southern Poland are resulting in large amounts of methane (CH4) emissions. Annual CH4 emissions reached 448 kt according to the European Pollutant Release and Transfer Register (E-PRTR, 2017). As a CH4 emission hotspot in Europe, it is of importance to investigate its emission sources and make accurate emission estimates. In this study, we use satellite-based total column-averaged dry-air mole fraction of CH4 (XCH4) from the TROPOspheric Monitoring Instrument (TROPOMI) and tropospheric XCH4 (TXCH4) from the Infrared Atmospheric Sounding Interferometer (IASI). In addition, the high-resolution model forecasts, XCH4 and TXCH4, from the Copernicus Atmosphere Monitoring Service (CAMS) are used to estimate the CH4 emission rate averaged over 3 years (November 2017-December 2020) in the USCB region (49.3-50.8 degrees N and 18-20 degrees E). The wind-assigned anomaly method is first validated using the CAMS forecast data (XCH4 and TXCH4), showing a good agreement with the CAMS GLOBal ANThropogenic emission (CAMS-GLOB-ANT) inventory. It indicates that the wind-assigned method works well. This wind-assigned method is further applied to the TROPOMI XCH4 and TROPOMI + IASI TXCH4 by using the Carbon dioxide and Methane (CoMet) inventory derived for the year 2018. The calculated averaged total CH4 emissions over the USCB region is about 496 kt yr(-1) (5.9 x 10(26) moles. s(-1)) for TROPOMI XCH4 and 437 kt yr(-1) (5.2 x 10(26) molec. s(-1)) for TROPOMI + IASI TXCH4. These values are very close to the ones given in the E-PRTR inventory (448 kt yr(-1)) and the ones in the CoMet inventory (555 kt yr(-1)), and are thus in agreement with these inventories. The similar estimates of XCH4 and TXCH4 also imply that for a strong source, the dynamically induced variations of the CH4 mixing ratio in the upper troposphere and lower stratosphere region are of secondary importance. Uncertainties from different error sources (background removal and noise in the data, vertical wind shear, wind field segmentation, and angle of the emission cone) are approximately 14.8 % for TROPOMI XCH4 and 11.4 % for TROPOMI + IASI TXCH4. These results suggest that our wind-assigned method is quite robust and might also serve as a simple method to estimate CH4 or CO2 emissions for other regions.
学科领域	Environmental Sciences; Meteorology & Atmospheric Sciences
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000834261300001
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/273639
作者单位	Tongji University; Helmholtz Association; Karlsruhe Institute of Technology; Helmholtz Association; Karlsruhe Institute of Technology; AGH University of Science & Technology
推荐引用方式 GB/T 7714	Tu, Qiansi,Schneider, Matthias,Hase, Frank,et al. Quantifying CH4 emissions in hard coal mines from TROPOMI and IASI observations using the wind-assigned anomaly method[J],2022,22(15):19.
APA	Tu, Qiansi.,Schneider, Matthias.,Hase, Frank.,Khosrawi, Farahnaz.,Ertl, Benjamin.,...&Fang, Dianjun.(2022).Quantifying CH4 emissions in hard coal mines from TROPOMI and IASI observations using the wind-assigned anomaly method.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(15),19.
MLA	Tu, Qiansi,et al."Quantifying CH4 emissions in hard coal mines from TROPOMI and IASI observations using the wind-assigned anomaly method".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.15(2022):19.