气候变化领域集成服务门户(CCPortal): Observational constraints on methane emissions from Polish coal mines using a ground-based remote sensing network

CCPortal

DOI	10.5194/acp-22-5859-2022
	Observational constraints on methane emissions from Polish coal mines using a ground-based remote sensing network
	Luther, Andreas; Kostinek, Julian; Kleinschek, Ralph; Defratyka, Sara; Stanisavljevi, Mila; Forstmaier, Andreas; Dandocsi, Alexandru; Scheidweiler, Leon; Dubravica, Darko; Wildmann, Norman; Hase, Frank; Frey, Matthias M.; Chen, Jia; Dietrich, Florian; Necki, Jaroslaw; Swolkien, Justyna; Knote, Christoph; Vardag, Sanam N.; Roiger, Anke; Butz, Andre
发表日期	2022
ISSN	1680-7316
EISSN	1680-7324
起始页码	5859
结束页码	5876
卷号	22 期号:9 页码:18
英文摘要	Given its abundant coal mining activities, the Upper Silesian Coal Basin (USCB) in southern Poland is one of the largest sources of anthropogenic methane (CH4) emissions in Europe. Here, we report on CH4 emission estimates for coal mine ventilation facilities in the USCB. Our estimates are driven by pairwise upwind- downwind observations of the column-average dry-air mole fractions of CH4 (XCH4) by a network of four portable, ground-based, sun-viewing Fourier transform spectrometers of the type EM27/SUN operated during the CoMet campaign in May-June 2018. The EM27/SUN instruments were deployed in the four cardinal directions around the USCB approximately 50 km from the center of the basin. We report on six case studies for which we inferred emissions by evaluating the mismatch between the observed downwind enhancements and simulations based on trajectory calculations releasing particles out of the ventilation shafts using the Lagrangian particle dispersion model FLEXPART. The latter was driven by wind fields calculated by WRF (Weather Research and Forecasting model) under assimilation of vertical wind profile measurements of three co-deployed wind lidars. For emission estimation, we use a Phillips-Tikhonov regularization scheme with the L-curve criterion. Diagnosed by the emissions averaging kernels, we find that, depending on the catchment area of the downwind measurements, our ad hoc network can resolve individual facilities or groups of ventilation facilities but that inspecting the emissions averaging kernels is essential to detect correlated estimates. Generally, our instantaneous emission estimates range between 80 and 133 kt CH4 a(-1) for the southeastern part of the USCB and between 414 and 790 kt CH4 a(-1) for various larger parts of the basin, suggesting higher emissions than expected from the annual emissions reported by the E-PRTR (European Pollutant Release and Transfer Register). Uncertainties range between 23 % and 36 %, dominated by the error contribution from uncertain wind fields.
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:000790741700001
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/273585
作者单位	Ruprecht Karls University Heidelberg; Helmholtz Association; Karlsruhe Institute of Technology; Technical University of Munich; AGH University of Science & Technology; National Research & Development Institute Optoelectronics INOE 2000; UDICE-French Research Universities; Universite Paris Saclay; CEA; Centre National de la Recherche Scientifique (CNRS); National Institute for Environmental Studies - Japan; Helmholtz Association; German Aerospace Centre (DLR); University of Augsburg; Ruprecht Karls University Heidelberg; Ruprecht Karls University Heidelberg
推荐引用方式 GB/T 7714	Luther, Andreas,Kostinek, Julian,Kleinschek, Ralph,et al. Observational constraints on methane emissions from Polish coal mines using a ground-based remote sensing network[J],2022,22(9):18.
APA	Luther, Andreas.,Kostinek, Julian.,Kleinschek, Ralph.,Defratyka, Sara.,Stanisavljevi, Mila.,...&Butz, Andre.(2022).Observational constraints on methane emissions from Polish coal mines using a ground-based remote sensing network.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(9),18.
MLA	Luther, Andreas,et al."Observational constraints on methane emissions from Polish coal mines using a ground-based remote sensing network".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.9(2022):18.