Articles | Volume 21, issue 23
https://doi.org/10.5194/acp-21-17345-2021
© Author(s) 2021. 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-21-17345-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
01 Dec 2021
Research article |
| 01 Dec 2021
| 01 Dec 2021
Quantification of CH4 coal mining emissions in Upper Silesia by passive airborne remote sensing observations with the Methane Airborne MAPper (MAMAP) instrument during the CO2 and Methane (CoMet) campaign
Sven Krautwurst
CORRESPONDING AUTHOR
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
Konstantin Gerilowski
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
Jakob Borchardt
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
Norman Wildmann
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Michał Gałkowski
Department Biogeochemical Signals, Max Planck Institute for Biogeochemistry, Jena, Germany
Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Krakow, Poland
Justyna Swolkień
Faculty of Mining and Geoengineering, AGH University of Science and Technology, Krakow, Poland
Julia Marshall
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Alina Fiehn
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
Thomas Ruhtz
Institute for Space Sciences, Free University of Berlin, Berlin, Germany
Christoph Gerbig
Department Biogeochemical Signals, Max Planck Institute for Biogeochemistry, Jena, Germany
Jaroslaw Necki
Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Krakow, Poland
John P. Burrows
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
Andreas Fix
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Heinrich Bovensmann
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
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Cited
29 citations as recorded by crossref.
- Source apportionment of methane emissions from the Upper Silesian Coal Basin using isotopic signatures A. Fiehn et al.
- 基于DOAS技术的电厂及城区二氧化碳排放遥测研究 张. Zhang Huarong et al.
- Detection and quantification of methane plumes with the MethaneAIR airborne spectrometer L. Guanter et al.
- Satellite-Derived Approaches for Coal Mine Methane Estimation: A Review A. Chauhan & S. Raval
- Impact of stray light on greenhouse gas concentration retrievals and emission estimates as observed with the passive airborne remote sensing imager MAMAP2D-Light O. Huhs et al.
- Temporal and spatial comparison of coal mine ventilation methane emissions and mitigation quantified using PRISMA satellite data and on-site measurements C. Karacan et al.
- Estimations of Wind Direction and CO2 Emissions From Power Plants With DaQi-1 Satellite X. Cao et al.
- Recent Advances Toward Transparent Methane Emissions Monitoring: A Review B. Erland et al.
- Surface-observation-constrained high-frequency coal mine methane emissions in Shanxi, China, reveal more emissions than inventories, consistent with satellite inversion F. Lu et al.
- Retrieving CH4-emission rates from coal mine ventilation shafts using UAV-based AirCore observations and the genetic algorithm–interior point penalty function (GA-IPPF) model T. Shi et al.
- Quantifying methane emissions from coal mining ventilation shafts using an unmanned aerial vehicle (UAV)-based active AirCore system T. Andersen et al.
- Quantifying factory-scale CO2/CH4 emission based on mobile measurements and EMISSION-PARTITION model: cases in China T. Shi et al.
- Evaluating Pellistor sensors for reporting of methane emission in coal mine ventilation: Toward low-cost reporting solutions J. Nęcki et al.
- Atmospheric remote sensing for anthropogenic methane emissions: Applications and research opportunities S. Zhang et al.
- Monitoring greenhouse gases (GHGs) in China: status and perspective Y. Sun et al.
- The Lagrangian Atmospheric Radionuclide Transport Model (ARTM) – sensitivity studies and evaluation using airborne measurements of power plant emissions R. Hanfland et al.
- Automated detection of regions with persistently enhanced methane concentrations using Sentinel-5 Precursor satellite data S. Vanselow et al.
- Identification and quantification of CH4 emissions from Madrid landfills using airborne imaging spectrometry and greenhouse gas lidar S. Krautwurst et al.
- Factors influencing the temporal variability of atmospheric methane emissions from Upper Silesia coal mines: a case study from the CoMet mission J. Swolkień et al.
- Observational constraints on methane emissions from Polish coal mines using a ground-based remote sensing network A. Luther et al.
- Comparing airborne algorithms for greenhouse gas flux measurements over the Alberta oil sands B. Erland et al.
- Impact of atmospheric turbulence on the accuracy of point source emission estimates using satellite imagery M. Gałkowski et al.
- A helicopter-based mass balance approach for quantifying methane emissions from industrial activities, applied for coal mine ventilation shafts in Poland E. Förster et al.
- Spectrometric imaging of sub-hourly methane emission dynamics from coal mine ventilation M. Knapp et al.
- Mitigating climate change by abating coal mine methane: A critical review of status and opportunities C. Karacan et al.
- Evaluation of simulated CO2 power plant plumes from six high-resolution atmospheric transport models D. Brunner et al.
- Quantifying CH4 emissions in hard coal mines from TROPOMI and IASI observations using the wind-assigned anomaly method Q. Tu et al.
- Insights into Elevated Methane Emissions from an Australian Open-Cut Coal Mine Using Two Independent Airborne Techniques J. Borchardt et al.
- Individual coal mine methane emissions constrained by eddy covariance measurements: low bias and missing sources K. Qin et al.
29 citations as recorded by crossref.
- Source apportionment of methane emissions from the Upper Silesian Coal Basin using isotopic signatures A. Fiehn et al.
- 基于DOAS技术的电厂及城区二氧化碳排放遥测研究 张. Zhang Huarong et al.
- Detection and quantification of methane plumes with the MethaneAIR airborne spectrometer L. Guanter et al.
- Satellite-Derived Approaches for Coal Mine Methane Estimation: A Review A. Chauhan & S. Raval
- Impact of stray light on greenhouse gas concentration retrievals and emission estimates as observed with the passive airborne remote sensing imager MAMAP2D-Light O. Huhs et al.
- Temporal and spatial comparison of coal mine ventilation methane emissions and mitigation quantified using PRISMA satellite data and on-site measurements C. Karacan et al.
- Estimations of Wind Direction and CO2 Emissions From Power Plants With DaQi-1 Satellite X. Cao et al.
- Recent Advances Toward Transparent Methane Emissions Monitoring: A Review B. Erland et al.
- Surface-observation-constrained high-frequency coal mine methane emissions in Shanxi, China, reveal more emissions than inventories, consistent with satellite inversion F. Lu et al.
- Retrieving CH4-emission rates from coal mine ventilation shafts using UAV-based AirCore observations and the genetic algorithm–interior point penalty function (GA-IPPF) model T. Shi et al.
- Quantifying methane emissions from coal mining ventilation shafts using an unmanned aerial vehicle (UAV)-based active AirCore system T. Andersen et al.
- Quantifying factory-scale CO2/CH4 emission based on mobile measurements and EMISSION-PARTITION model: cases in China T. Shi et al.
- Evaluating Pellistor sensors for reporting of methane emission in coal mine ventilation: Toward low-cost reporting solutions J. Nęcki et al.
- Atmospheric remote sensing for anthropogenic methane emissions: Applications and research opportunities S. Zhang et al.
- Monitoring greenhouse gases (GHGs) in China: status and perspective Y. Sun et al.
- The Lagrangian Atmospheric Radionuclide Transport Model (ARTM) – sensitivity studies and evaluation using airborne measurements of power plant emissions R. Hanfland et al.
- Automated detection of regions with persistently enhanced methane concentrations using Sentinel-5 Precursor satellite data S. Vanselow et al.
- Identification and quantification of CH4 emissions from Madrid landfills using airborne imaging spectrometry and greenhouse gas lidar S. Krautwurst et al.
- Factors influencing the temporal variability of atmospheric methane emissions from Upper Silesia coal mines: a case study from the CoMet mission J. Swolkień et al.
- Observational constraints on methane emissions from Polish coal mines using a ground-based remote sensing network A. Luther et al.
- Comparing airborne algorithms for greenhouse gas flux measurements over the Alberta oil sands B. Erland et al.
- Impact of atmospheric turbulence on the accuracy of point source emission estimates using satellite imagery M. Gałkowski et al.
- A helicopter-based mass balance approach for quantifying methane emissions from industrial activities, applied for coal mine ventilation shafts in Poland E. Förster et al.
- Spectrometric imaging of sub-hourly methane emission dynamics from coal mine ventilation M. Knapp et al.
- Mitigating climate change by abating coal mine methane: A critical review of status and opportunities C. Karacan et al.
- Evaluation of simulated CO2 power plant plumes from six high-resolution atmospheric transport models D. Brunner et al.
- Quantifying CH4 emissions in hard coal mines from TROPOMI and IASI observations using the wind-assigned anomaly method Q. Tu et al.
- Insights into Elevated Methane Emissions from an Australian Open-Cut Coal Mine Using Two Independent Airborne Techniques J. Borchardt et al.
- Individual coal mine methane emissions constrained by eddy covariance measurements: low bias and missing sources K. Qin et al.
Saved (final revised paper)
Latest update: 04 May 2026
Short summary
Quantification of anthropogenic CH4 emissions remains challenging, but it is essential for near-term climate mitigation strategies. We use airborne remote sensing observations to assess bottom-up estimates of coal mining emissions from one of Europe's largest CH4 emission hot spots located in Poland. The analysis reveals that emissions from small groups of shafts can be disentangled, but caution is advised when comparing observations to commonly reported annual emissions.
Quantification of anthropogenic CH4 emissions remains challenging, but it is essential for...
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