Articles | Volume 23, issue 24
https://doi.org/10.5194/acp-23-15749-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-23-15749-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 Dec 2023
Research article |
| 21 Dec 2023
| 21 Dec 2023
Source apportionment of methane emissions from the Upper Silesian Coal Basin using isotopic signatures
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Maximilian Eckl
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Julian Kostinek
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Michał Gałkowski
Max Planck Institute for Biogeochemistry (MPI-BGC), Department of Biogeochemical Signals, Jena, Germany
Faculty of Physics and Applied Computer Science, AGH University of Kraków, Kraków, Poland
Christoph Gerbig
Max Planck Institute for Biogeochemistry (MPI-BGC), Department of Biogeochemical Signals, Jena, Germany
Michael Rothe
Max Planck Institute for Biogeochemistry (MPI-BGC), Department of Biogeochemical Signals, Jena, Germany
Thomas Röckmann
Institute for Marine and Atmospheric research Utrecht (IMAU), Utrecht University, Utrecht, the Netherlands
Malika Menoud
Institute for Marine and Atmospheric research Utrecht (IMAU), Utrecht University, Utrecht, the Netherlands
Laboratoire des Sciences du Climat et de l'Environnement, Université de Versailles Saint-Quentin, Paris, France
Hossein Maazallahi
Institute for Marine and Atmospheric research Utrecht (IMAU), Utrecht University, Utrecht, the Netherlands
Martina Schmidt
Institute of Environmental Physics, Heidelberg University, Heidelberg, Germany
Piotr Korbeń
Institute of Environmental Physics, Heidelberg University, Heidelberg, Germany
Jarosław Neçki
Faculty of Physics and Applied Computer Science, AGH University of Kraków, Kraków, Poland
Mila Stanisavljević
Faculty of Physics and Applied Computer Science, AGH University of Kraków, Kraków, Poland
Faculty of Civil Engineering and Resource Management, AGH University of Kraków, Kraków, Poland
Justyna Swolkień
Faculty of Civil Engineering and Resource Management, AGH University of Kraków, Kraków, Poland
Andreas Fix
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Anke Roiger
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
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Cited
17 citations as recorded by crossref.
- Depth Gradient and Radon Activity Concentration in Soil Gas in the Zone of a Potentially Active Fault T. Leshukov et al. https://doi.org/10.3390/earth5040052
- Preliminary Results of the Kuznetsk Coal Basin Cover Deposits Radon Hazard Assessment T. Leshukov et al. https://doi.org/10.3390/geosciences15010014
- Urbanisation accelerates carbon cycling and greenhouse gas emissions along a river-ocean continuum in the humid subtropics H. Lo et al. https://doi.org/10.1016/j.envres.2026.123975
- Technical note: Identifying biomass burning emissions during ASIA-AQ using greenhouse gas enhancement ratios J. Miech et al. https://doi.org/10.5194/acp-25-15701-2025
- Biochar as a sustainable additive in fired clay bricks and building blocks: Processing, properties, and performance A. Xie et al. https://doi.org/10.1016/j.conbuildmat.2025.143267
- Determining the key meteorological factors affecting atmospheric CO2 and CH4 using machine learning algorithms at a suburban site in China W. Liu et al. https://doi.org/10.1016/j.uclim.2025.102312
- Enhancing the Detection of Potential Anthropogenic Methane Emission Sources in China Using Machine Learning and TROPOMI Observations S. Yu et al. https://doi.org/10.1021/acs.estlett.6c00115
- Explaining hot spots of methane flux in a restored wetland: the role of water level, soil disturbance, and methanotrophy C. Rey-Sanchez et al. https://doi.org/10.1088/1748-9326/ade45b
- Isotope and chemical alteration of coalbed gases during migration from underground coal mine into the atmosphere Y. Bezyk et al. https://doi.org/10.1016/j.coal.2025.104922
- Characterizing anthropogenic and biogenic sources of CO2 and CH4 using carbon isotopic signature δ13C in Houston, Texas, USA I. Karim & B. Rappenglück https://doi.org/10.1016/j.atmosenv.2026.122058
- Sectoral contributions of high-emitting methane point sources from major US onshore oil and gas producing basins using airborne measurements from MethaneAIR J. Warren et al. https://doi.org/10.5194/acp-25-10661-2025
- Evaluating Pellistor sensors for reporting of methane emission in coal mine ventilation: Toward low-cost reporting solutions J. Nęcki et al. https://doi.org/10.1016/j.measurement.2026.120385
- Quantifying agricultural N2O and CH4 emissions in the Netherlands using an airborne eddy covariance system P. Waldmann et al. https://doi.org/10.5194/amt-19-185-2026
- Methane-rich gas emissions from natural geologic seeps can be chemically distinguished from anthropogenic leaks L. Molofsky et al. https://doi.org/10.1038/s43247-024-01990-8
- Measurement report: Isotopic composition of CH4 emitted from gas exploration sites in the Transylvanian Basin, Romania T. Röckmann et al. https://doi.org/10.5194/acp-26-723-2026
- Analysis of Local-to-Remote Source Variability During the First 2020 COVID-19 Lockdown in Calabria, Southern Italy: New Insights from the Implementation of the ONRPI Methodology F. D’Amico et al. https://doi.org/10.3390/pollutants6010019
- Probabilistic methane source attribution in Greater Accra: A hierarchical Bayesian dual-isotope approach E. Asare & D. Abdul-Wahab https://doi.org/10.1016/j.scitotenv.2026.181849
17 citations as recorded by crossref.
- Depth Gradient and Radon Activity Concentration in Soil Gas in the Zone of a Potentially Active Fault T. Leshukov et al. https://doi.org/10.3390/earth5040052
- Preliminary Results of the Kuznetsk Coal Basin Cover Deposits Radon Hazard Assessment T. Leshukov et al. https://doi.org/10.3390/geosciences15010014
- Urbanisation accelerates carbon cycling and greenhouse gas emissions along a river-ocean continuum in the humid subtropics H. Lo et al. https://doi.org/10.1016/j.envres.2026.123975
- Technical note: Identifying biomass burning emissions during ASIA-AQ using greenhouse gas enhancement ratios J. Miech et al. https://doi.org/10.5194/acp-25-15701-2025
- Biochar as a sustainable additive in fired clay bricks and building blocks: Processing, properties, and performance A. Xie et al. https://doi.org/10.1016/j.conbuildmat.2025.143267
- Determining the key meteorological factors affecting atmospheric CO2 and CH4 using machine learning algorithms at a suburban site in China W. Liu et al. https://doi.org/10.1016/j.uclim.2025.102312
- Enhancing the Detection of Potential Anthropogenic Methane Emission Sources in China Using Machine Learning and TROPOMI Observations S. Yu et al. https://doi.org/10.1021/acs.estlett.6c00115
- Explaining hot spots of methane flux in a restored wetland: the role of water level, soil disturbance, and methanotrophy C. Rey-Sanchez et al. https://doi.org/10.1088/1748-9326/ade45b
- Isotope and chemical alteration of coalbed gases during migration from underground coal mine into the atmosphere Y. Bezyk et al. https://doi.org/10.1016/j.coal.2025.104922
- Characterizing anthropogenic and biogenic sources of CO2 and CH4 using carbon isotopic signature δ13C in Houston, Texas, USA I. Karim & B. Rappenglück https://doi.org/10.1016/j.atmosenv.2026.122058
- Sectoral contributions of high-emitting methane point sources from major US onshore oil and gas producing basins using airborne measurements from MethaneAIR J. Warren et al. https://doi.org/10.5194/acp-25-10661-2025
- Evaluating Pellistor sensors for reporting of methane emission in coal mine ventilation: Toward low-cost reporting solutions J. Nęcki et al. https://doi.org/10.1016/j.measurement.2026.120385
- Quantifying agricultural N2O and CH4 emissions in the Netherlands using an airborne eddy covariance system P. Waldmann et al. https://doi.org/10.5194/amt-19-185-2026
- Methane-rich gas emissions from natural geologic seeps can be chemically distinguished from anthropogenic leaks L. Molofsky et al. https://doi.org/10.1038/s43247-024-01990-8
- Measurement report: Isotopic composition of CH4 emitted from gas exploration sites in the Transylvanian Basin, Romania T. Röckmann et al. https://doi.org/10.5194/acp-26-723-2026
- Analysis of Local-to-Remote Source Variability During the First 2020 COVID-19 Lockdown in Calabria, Southern Italy: New Insights from the Implementation of the ONRPI Methodology F. D’Amico et al. https://doi.org/10.3390/pollutants6010019
- Probabilistic methane source attribution in Greater Accra: A hierarchical Bayesian dual-isotope approach E. Asare & D. Abdul-Wahab https://doi.org/10.1016/j.scitotenv.2026.181849
Saved (final revised paper)
Latest update: 21 Jul 2026
Short summary
During the CoMet mission in the Upper Silesian Coal Basin (USCB) ground-based and airborne air samples were taken and analyzed for the isotopic composition of CH4 to derive the mean signature of the USCB and source signatures of individual coal mines. Using δ2H signatures, the biogenic emissions from the USCB account for 15 %–50 % of total emissions, which is underestimated in common emission inventories. This demonstrates the importance of δ2H-CH4 observations for methane source apportionment.
During the CoMet mission in the Upper Silesian Coal Basin (USCB) ground-based and airborne air...
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