Articles | Volume 17, issue 4
https://doi.org/10.5194/amt-17-1229-2024
https://doi.org/10.5194/amt-17-1229-2024
Research article
 | 
22 Feb 2024
Research article |  | 22 Feb 2024

Detection and long-term quantification of methane emissions from an active landfill

Pramod Kumar, Christopher Caldow, Grégoire Broquet, Adil Shah, Olivier Laurent, Camille Yver-Kwok, Sebastien Ars, Sara Defratyka, Susan Warao Gichuki, Luc Lienhardt, Mathis Lozano, Jean-Daniel Paris, Felix Vogel, Caroline Bouchet, Elisa Allegrini, Robert Kelly, Catherine Juery, and Philippe Ciais

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Cited articles

Aghdam, E. F., Scheutz, C., and Kjeldsen, P.: Impact of meteorological parameters on extracted landfill gas composition and flow, Waste Manage., 87, 905–914, https://doi.org/10.1016/j.wasman.2018.01.045, 2019. 
Albergel, A., Morin, D., Buty, D., Nibart, M., Makke, L., Goix, R., Kelly, R., Bouchet, C., and Vogel, F.: Inverse dispersion modelling for a quick scan service to assess fugitive emissions from landfills, in: 18th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, Bologna, Italy, http://www.harmo18.eu/ (last access: 13 February 2024), 2017. 
Allen, G., Hollingsworth, P., Kabbabe, K., Pitt, J. R., Mead, M. I., Illingworth, S., Roberts, G., Bourn, M., Shallcross, D. E., and Percival, C. J.: The development and trial of an unmanned aerial system for the measurement of methane flux from landfill and greenhouse gas emission hotspots, Waste Manage., 87, 883–892, https://doi.org/10.1016/J.WASMAN.2017.12.024, 2019. 
Ars, S.: Caractérisation des émissions de méthane à l'échelle locale à l'aide d'une méthode d'inversion statistique basée sur un modèle gaussien paramétré avec les données d'un gaz traceur, Université Paris Saclay (COmUE), France, https://theses.hal.science/tel-01624241 (last access: 17 March 2023), 2017.  
Ars, S., Broquet, G., Yver Kwok, C., Roustan, Y., Wu, L., Arzoumanian, E., and Bousquet, P.: Statistical atmospheric inversion of local gas emissions by coupling the tracer release technique and local-scale transport modelling: a test case with controlled methane emissions, Atmos. Meas. Tech., 10, 5017–5037, https://doi.org/10.5194/amt-10-5017-2017, 2017. 
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Short summary
This study presents a series of mobile measurement campaigns to monitor the CH4 emissions from an active landfill. These measurements are processed using a Gaussian plume model and atmospheric inversion techniques to quantify the landfill CH4 emissions. The methane emission estimates range between ~0.4 and ~7 t CH4 per day, and their variations are analyzed. The robustness of the estimates is assessed depending on the distance of the measurements from the potential sources in the landfill.