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Quantifying CH₄ emissions from hard coal mines using mobile sun-viewing Fourier transform spectrometry

Luther, Andreas; Kleinschek, Ralph; Scheidweiler, Leon; Defratyka, Sara; Stanisavljevic, Mila; Forstmaier, Andreas; Dandocsi, Alexandru; Wolff, Sebastian; Dubravica, Darko; Wildmann, Norman; Kostinek, Julian; Jöckel, Patrick; Nickl, Anna-Leah; Klausner, Theresa; Hase, Frank; Frey, Matthias; Chen, Jia; Dietrich, Florian; Nȩcki, Jarosław; Swolkień, Justyna; ... mehr

Abstract:
Methane (CHMethane (CH4) emissions from coal production amount to roughly one-third of European anthropogenic CH4 emissions in the atmosphere. Poland is the largest hard coal producer in the European Union with the Polish side of the Upper Silesian Coal Basin (USCB) as the main part of it. Emission estimates for CH4 from the USCB for individual coal mine ventilation shafts range between 0.03 and 20 kt a−1, amounting to a basin total of roughly 440 kt a−1 according to the European Pollutant Release and Transfer Register (E-PRTR, http://prtr.ec.europa.eu/, 2014). We mounted a ground-based, portable, sun-viewing FTS (Fourier transform spectrometer) on a truck for sampling coal mine ventilation plumes by driving cross-sectional stop-and-go patterns at 1 to 3 km from the exhaust shafts. Several of these transects allowed for estimation of CH4 emissions based on the observed enhancements of the column-averaged dry-air mole fractions of methane (XCH4) using a mass balance approach. Our resulting emission estimates range from 6±1 kt a−1 for a single shaft up to 109±33 kt a−1 for a subregion of the USCB, which is in broad agreement with the E-PRTR reports. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000099204
Veröffentlicht am 22.10.2019
Originalveröffentlichung
DOI: 10.5194/amt-12-5217-2019
Scopus
Zitationen: 3
Web of Science
Zitationen: 2
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2019
Sprache Englisch
Identifikator ISSN: 1867-8548
KITopen-ID: 1000099204
HGF-Programm 12.03.01 (POF III, LK 01)
Long term observations of tropospheric
Erschienen in Atmospheric measurement techniques
Band 12
Heft 10
Seiten 5217–5230
Vorab online veröffentlicht am 01.10.2019
Nachgewiesen in Web of Science
Scopus
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