Articles | Volume 20, issue 23
https://doi.org/10.5194/acp-20-15487-2020
https://doi.org/10.5194/acp-20-15487-2020
Research article
 | 
11 Dec 2020
Research article |  | 11 Dec 2020

Quantifying methane emissions from Queensland's coal seam gas producing Surat Basin using inventory data and a regional Bayesian inversion

Ashok K. Luhar, David M. Etheridge, Zoë M. Loh, Julie Noonan, Darren Spencer, Lisa Smith, and Cindy Ong

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Cited articles

Cheng, M.-D., Hopke, P. K., and Zeng, Y.: A receptor-oriented methodology for determining source regions of particulate sulfate at Dorset, Ontario, J. Geophys. Res., 98, 16839–16849, https://doi.org/10.1029/92JD02622, 1993. 
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Day, S., Dell'Amico, M., Etheridge, D., Ong, C., Rodger, A., Sherman, B., and Barrett, D.: Characterisation of regional fluxes of methane in the Surat Basin, Queensland, Phase 1: A review and analysis of literature on methane detection and flux determination, CSIRO Australia, Canberra, 57 pp., ISBN (online): 978-1-4863-0259-8, 2013. 
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Short summary
With the sharp rise in coal seam gas (CSG) production in Queensland’s Surat Basin, there is much interest in quantifying methane emissions from this area and from unconventional gas production in general. We develop and apply a regional Bayesian inverse model that uses hourly methane concentration data from two sites and modelled backward dispersion to quantify emissions. The model requires a narrow prior and suggests that the emissions from the CSG areas are 33% larger than bottom-up estimates.
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