A115-0001
Methane emission from an oil sands tailings pond: A quantitative comparison of fluxes derived by different methods

Friday, 11 December 2020
Poster
Yuan You1,2, Ralf M Staebler2, Samar G Moussa2, Richard Mittermeier2 and James Beck3, (1)University of Toronto, Department of Physics, Toronto, ON, Canada, (2)Environment and Climate Change Canada, Air Quality Research Division, Toronto, ON, Canada, (3)Suncor Energy Inc., Calgary, Canada
Abstract:
Tailings ponds in the Alberta Oil Sands Region are significant sources of fugitive emissions of methane to the atmosphere, but detailed knowledge on spatial and temporal variabilities is lacking due to limitations of the methods deployed under current regulatory compliance monitoring programs. To develop more robust and representative methods for quantifying these emissions, three micrometeorological flux methods were applied along with traditional flux chambers to determine fluxes over a 5-week period. Eddy covariance flux measurements provided the benchmark. For calculating gradient flux, this study presented a method to directly calculate stability-corrected eddy diffusivities which can be applied to vertical gas profiles. Gradient fluxes were shown to agree with eddy covariance within 7%, and inverse dispersion model fluxes within 11%, with an overall uncertainty of 28% for the calculated mean flux. Fluxes were shown to have only a minor diurnal cycle (18% variability) and to be mostly independent of wind speed, air, and water surface temperatures. Flux chambers underestimated the fluxes by a factor of 2 in this particular campaign. These measurements indicate that the larger footprint of micrometeorological measurements results in more robust emission estimates representing the whole pond.