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Quantification of CH4 coal mining emissions in Upper Silesia by passive airborne remote sensing observations with the Methane Airborne MAP (MAMAP) instrument during the CO2 and Methane (CoMet) campaign

Krautwurst, Sven and Gerilowski, Konstantin and Borchardt, Jakob and Wildmann, Norman and Galkowski, Michal and Swolkien, Justyna and Marshall, Julia and Fiehn, Alina and Roiger, Anke and Ruhtz, Thomas and Gerbig, Christoph and Necki, Jaroslaw and Burrows, John P. and Fix, Andreas and Bovensmann, Heinrich (2021) Quantification of CH4 coal mining emissions in Upper Silesia by passive airborne remote sensing observations with the Methane Airborne MAP (MAMAP) instrument during the CO2 and Methane (CoMet) campaign. Atmospheric Chemistry and Physics (ACP) (21), pp. 17345-17371. Copernicus Publications. doi: 10.5194/acp-21-17345-2021. ISSN 1680-7316.

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Official URL: https://acp.copernicus.org/articles/21/17345/2021/

Abstract

Methane (CH4) is the second most important anthropogenic greenhouse gas, whose atmospheric concentration is modulated by human-induced activities, and it has a larger global warming potential than carbon dioxide (CO2). Because of its short atmospheric lifetime relative to that of CO2, the reduction of the atmospheric abundance of CH4 is an attractive target for short-term climate mitigation strategies. However, reducing the atmospheric CH4 concentration requires a reduction of its emissions and, therefore, knowledge of its sources. For this reason, the CO2 and Methane (CoMet) campaign in May and June 2018 assessed emissions of one of the largest CH4 emission hot spots in Europe, the Upper Silesian Coal Basin (USCB) in southern Poland, using top-down approaches and inventory data. In this study, we will focus on CH4 column anomalies retrieved from spectral radiance observations, which were acquired by the 1D nadir-looking passive remote sensing Methane Airborne MAPper (MAMAP) instrument, using the weighting-function-modified differential optical absorption spectroscopy (WFM-DOAS) method. The column anomalies, combined with wind lidar measurements, are inverted to cross-sectional fluxes using a mass balance approach. With the help of these fluxes, reported emissions of small clusters of coal mine ventilation shafts are then assessed. The MAMAP CH4 column observations enable an accurate assignment of observed fluxes to small clusters of ventilation shafts. CH4 fluxes are estimated for four clusters with a total of 23 ventilation shafts, which are responsible for about 40 % of the total CH4 mining emissions in the target area. The observations were made during several overflights on different days. The final average CH4 fluxes for the single clusters (or sub-clusters) range from about 1 to 9 t CH4 h−1 at the time of the campaign. The fluxes observed at one cluster during different overflights vary by as much as 50 % of the average value. Associated errors (1σ) are usually between 15 % and 59 % of the average flux, depending mainly on the prevailing wind conditions, the number of flight tracks, and the magnitude of the flux itself. Comparison to known hourly emissions, where available, shows good agreement within the uncertainties. If only emissions reported annually are available for comparison with the observations, caution is advised due to possible fluctuations in emissions during a year or even within hours. To measure emissions even more precisely and to break them down further for allocation to individual shafts in a complex source region such as the USCB, imaging remote sensing instruments are recommended.

Item URL in elib:https://elib.dlr.de/146689/
Document Type:Article
Title:Quantification of CH4 coal mining emissions in Upper Silesia by passive airborne remote sensing observations with the Methane Airborne MAP (MAMAP) instrument during the CO2 and Methane (CoMet) campaign
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Krautwurst, SvenIUP, Univ. of Bremenhttps://orcid.org/0000-0003-1671-7295
Gerilowski, KonstantinIUP, Univ. of BremenUNSPECIFIED
Borchardt, Jakobbjakob (at) iup.physik.uni-bremen.deUNSPECIFIED
Wildmann, NormanDLR, IPAhttps://orcid.org/0000-0001-9475-4206
Galkowski, MichalMax-Planck-Institut für Biogeochemie, Jenahttps://orcid.org/0000-0003-1681-3965
Swolkien, JustynaAGH Univ., Krakow, PolenUNSPECIFIED
Marshall, JuliaMPI BGC, JenaUNSPECIFIED
Fiehn, AlinaDLR, IPAhttps://orcid.org/0000-0003-3376-4405
Roiger, AnkeDLR, IPAUNSPECIFIED
Ruhtz, ThomasFUBUNSPECIFIED
Gerbig, ChristophMax-Planck-Institut für Biogeochemie, Jenahttps://orcid.org/0000-0002-1112-8603
Necki, JaroslawAGH Univ., Krakow, PolenUNSPECIFIED
Burrows, John P.IUP, BremenUNSPECIFIED
Fix, AndreasDLR, IPAhttps://orcid.org/0000-0003-2818-9290
Bovensmann, HeinrichIUP, Univ. Bremenhttps://orcid.org/0000-0001-8882-4108
Date:1 December 2021
Journal or Publication Title:Atmospheric Chemistry and Physics (ACP)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI :10.5194/acp-21-17345-2021
Page Range:pp. 17345-17371
Publisher:Copernicus Publications
Series Name:CoMet: a mission to improve our understanding and to better quantify the carbon dioxide and methane cycles (AMT/ACP/GMD inter-journal SI)
ISSN:1680-7316
Status:Published
Keywords:CH4, Methane, Remote Sensing, CoMet
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Air Transportation and Impact
DLR - Research area:Aeronautics
DLR - Program:L AI - Air Transportation and Impact
DLR - Research theme (Project):L - Climate, Weather and Environment
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Atmospheric Physics > Transport Meteorology
Institute of Atmospheric Physics > Atmospheric Trace Species
Institute of Atmospheric Physics > Lidar
Deposited By: Wildmann, Norman
Deposited On:06 Dec 2021 09:11
Last Modified:06 Dec 2021 09:11

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