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Estimating CH.sub.4, CO.sub.2 and CO emissions from coal mining and industrial activities in the Upper Silesian Coal Basin using an aircraft-based mass balance approach

A severe reduction of greenhouse gas emissions is necessary to reach the objectives of the Paris Agreement. The implementation and continuous evaluation of mitigation measures requires regular independent information on emissions of the two main anthropogenic greenhouse gases, carbon dioxide (CO.sub...

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Published in:Atmospheric chemistry and physics 2020-11, Vol.20 (21), p.12675
Main Authors: Fiehn, Alina, Kostinek, Julian, Eckl, Maximilian, Klausner, Theresa, Galkowski, Michal, Chen, Jinxuan, Gerbig, Christoph, Röckmann, Thomas, Maazallahi, Hossein, Schmidt, Martina, KorbeÅ, Piotr, Neçki, Jaroslaw, Jagoda, Pawel, Wildmann, Norman, Mallaun, Christian, Bun, Rostyslav, Nickl, Anna-Leah, Jöckel, Patrick, Fix, Andreas, Roiger, Anke
Format: Article
Language:English
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Summary:A severe reduction of greenhouse gas emissions is necessary to reach the objectives of the Paris Agreement. The implementation and continuous evaluation of mitigation measures requires regular independent information on emissions of the two main anthropogenic greenhouse gases, carbon dioxide (CO.sub.2) and methane (CH.sub.4). Our aim is to employ an observation-based method to determine regional-scale greenhouse gas emission estimates with high accuracy. We use aircraft- and ground-based in situ observations of CH.sub.4, CO.sub.2, carbon monoxide (CO), and wind speed from two research flights over the Upper Silesian Coal Basin (USCB), Poland, in summer 2018. The flights were performed as a part of the Carbon Dioxide and Methane (CoMet) mission above this European CH.sub.4 emission hot-spot region. A kriging algorithm interpolates the observed concentrations between the downwind transects of the trace gas plume, and then the mass flux through this plane is calculated. Finally, statistic and systematic uncertainties are calculated from measurement uncertainties and through several sensitivity tests, respectively.
ISSN:1680-7316
1680-7324