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Methane emissions from an oil sands tailings pond: a quantitative comparison of fluxes derived by different methods
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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 fugitive emissions, three micrometeorological flux methods (eddy covariance, gradient, and inverse dispersion) were applied along with traditional flux chambers to determine fluxes over a 5-week period. Eddy covariance flux measurements provided the benchmark. A method is presented to directly calculate stability-corrected eddy diffusivities that can be applied to vertical gas profiles for gradient flux estimation. Gradient fluxes were shown to agree with eddy covariance within 18 %, while inverse dispersion model flux estimates were 30 % lower. Fluxes were shown to have only a minor diurnal cycle (15 % variability) and were weakly dependent on wind speed, air, and water surface temperatures. Flux chambers underestimated the fluxes by 64 % in this particular campaign. The results show that the larger footprint together with high temporal resolution of micrometeorological flux measurement methods may result in more robust estimates of the pond greenhouse gas emissions.
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“the industrial residue that accumulates in oil sands tailings ponds (OSTPs) has the potential to emit large quantities of methane.”
From Decoding methane concentration in Alberta oil sands: A machine learning exploration (2025) · cites this paper as You et al., 2021
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References 54 · Cited by 58
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- Baray, S., Darlington, A., Gordon, M., Hayden, K. L., Leithead, A., Li, S.-M., Liu, P. S. K., Mittermeier, R. L., Moussa, S. G., O'Brien, J., Staebler, R., Wolde, M., Worthy, D., and McLaren, R.: Quantification of methane sources in the Athabasca Oil Sands Region of Alberta by aircraft mass balance, Atmos. Chem. Phys., 18, 7361–7378, 10.5194/acp-18-7361-2018, 2018. · DOI
- Bari, M. A. and Kindzierski, W. B.: Ambient volatile organic compounds (VOCs) in communities of the Athabasca oil sands region: Sources and screening health risk assessment, Environ. Pollut., 235, 602–614, 10.1016/j.envpol.2017.12.065, 2018. · DOI
- Bolinius, D. J., Jahnke, A., and MacLeod, M.: Comparison of eddy covariance and modified Bowen ratio methods for measuring gas fluxes and implications for measuring fluxes of persistent organic pollutants, Atmos. Chem. Phys., 16, 5315–5322, 10.5194/acp-16-5315-2016, 2016. · DOI
- Covey, K. R. and Megonigal, J. P.: Methane production and emissions in trees and forests, New Phytol., 222, 35–51, 10.1111/nph.15624, 2019. · DOI
- Erkkilä, K.-M., Ojala, A., Bastviken, D., Biermann, T., Heiskanen, J. J., Lindroth, A., Peltola, O., Rantakari, M., Vesala, T., and Mammarella, I.: Methane and carbon dioxide fluxes over a lake: comparison between eddy covariance, floating chambers and boundary layer method, Biogeosciences, 15, 429–445, 10.5194/bg-15-429-2018, 2018. · DOI
- Fan, S. M., Wofsy, S. C., Bakwin, P. S., Jacob, D. J. and Fitzjarrald, D. R.: Atmosphere-biosphere exchange of CO2 and O3 in the Central Amazon Forest, J. Geophys. Res., 95, 16851–16864, 1990. · DOI
- Flesch, T. K., Wilson, J. D., and Yee, E.: Backward-time Lagrangian stochastic dispersion models and their application to estimate gaseous emissions, J. Appl. Meteorol., 34, 1320–1332, 1995. · DOI
- Flesch, T. K., Prueger, J. H., and Hatfield, J. L.: Turbulent Schmidt number from a tracer experiment, Agr. Forest Meteorol., 111, 299–307, 10.1016/S0168-1923(02)00025-4, 2002. · DOI
- Flesch, T. K., Wilson, J. D., Harper, L. A., Crenna, B. P., and Sharpe, R. R.: Deducing ground-to-air emissions from observed trace gas concentrations: A field trial, J. Appl. Meteorol., 43, 487–502, 2004. · DOI
- Foght, J. M., Gieg, L. M., and Siddique, T.: The microbiology of oil sands tailings: Past, present, future, FEMS Microbiol. Ecol., 93, fix034, 10.1093/femsec/fix034, 2017. · DOI
- Foken, T., Aubinet, M., and Leuning, R.: Eddy Covariance: A practical guide to measurement and data analysis, Eddy covariance method, edited by: Aubinet, M., Vesala, T., and Papale., D., Springer, 438 pp., 10.1007/978-94-007-2351-1, 2012. · DOI
- Galarneau, E., Hollebone, B. P., Yang, Z., and Schuster, J.: Preliminary measurement-based estimates of PAH emissions from oil sands tailings ponds, Atmos. Environ., 97, 332–335, 10.1016/j.atmosenv.2014.08.038, 2014. · DOI
- Gualtieri, C., Angeloudis, A., Bombardelli, F., Jha, S., and Stoesser, T.: On the Values for the Turbulent Schmidt Number in Environmental Flows, Fluids, 2, 17, 10.3390/fluids2020017, 2017. · DOI
- Hashmonay, R. A., Natschke, D. F., Wagoner, K., Harris, D. B., Thompson, E. L., and Yost, M. G.: Field evaluation of a method for estimating gaseous fluxes from area sources using open-path fourier transform infrared, Environ. Sci. Technol., 35, 2309–2313, 10.1021/es0017108, 2001. · DOI
- Horst, T. W: A simple formula for attenuation of eddy fluxes measured with first-order-response scalar sensors, Bound.-Lay. Meteorol., 82, 219–233, 1997. · DOI
- Horst, T. W.: The footprint for estimation of atmosphere-surface exchange fluxes by profile techniques, Bound.-Lay. Meteorol., 90, 171–188, 1999. · DOI
- Kljun, N., Calanca, P., Rotach, M. W., and Schmid, H. P.: A simple two-dimensional parameterisation for Flux Footprint Prediction (FFP), Geosci. Model Dev., 8, 3695–3713, 10.5194/gmd-8-3695-2015, 2015. · DOI
- Kong, J. D., Wang, H., Siddique, T., Foght, J., Semple, K., Burkus, Z., and Lewis, M. A.: Second-generation stoichiometric mathematical model to predict methane emissions from oil sands tailings, Sci. Total Environ., 694, 133645, 10.1016/j.scitotenv.2019.133645, 2019. · DOI
- Li, S. M., Leithead, A., Moussa, S. G., Liggio, J., Moran, M. D., Wang, D., Hayden, K., Darlington, A., Gordon, M., Staebler, R., Makar, P. A., Stroud, C. A., McLaren, R., Liu, P. S. K., O'Brien, J., Mittermeier, R. L., Zhang, J., Marson, G., Cober, S. G., Wolde, M., and Wentzell, J. J. B.: Differences between measured and reported volatile organic compound emissions from oil sands facilities in Alberta, Canada, P. Natl. Acad. Sci. USA, 114, E3756–E3765, 10.1073/pnas.1617862114, 2017. · DOI
- Liggio, J., Li, S. M., Hayden, K., Taha, Y. M., Stroud, C., Darlington, A., Drollette, B. D., Gordon, M., Lee, P., Liu, P., Leithead, A., Moussa, S. G., Wang, D., O'Brien, J., Mittermeier, R. L., Brook, J. R., Lu, G., Staebler, R. M., Han, Y., Tokarek, T. W., Osthoff, H. D., Makar, P. A., Zhang, J., Plata, D. L., and Liggio, J., Li, S. M., Hayden, K., Taha, Y. M., Stroud, C., Darlington, A., Drollette, B. D., Gordon, M., Lee, P., Liu, P., Leithead, A., Moussa, S. G., Wang, D., O'Brien, J., Mittermeier, R. L., Brook, J. R., Lu, G., Staebler, R. M., Han, Y., Tokarek, T. W., Osthoff, H. D., Makar, P. A., Zhang, J., Plata, D. L., and Gentner, D. R.: Oil sands operations as a large source of secondary organic aerosols, Nature, 534, 91–94, 10.1038/nature17646, 2016. · DOI
- Liggio, J., Moussa, S. G., Wentzell, J., Darlington, A., Liu, P., Leithead, A., Hayden, K., O'Brien, J., Mittermeier, R. L., Staebler, R., Wolde, M., and Li, S.-M.: Understanding the primary emissions and secondary formation of gaseous organic acids in the oil sands region of Alberta, Canada, Atmos. Chem. Phys., 17, 8411–8427, 10.5194/acp-17-8411-2017, 2017. · DOI
- Liggio, J., Li, S. M., Staebler, R. M., Hayden, K., Darlington, A., Mittermeier, R. L., O'Brien, J., McLaren, R., Wolde, M., Worthy, D., and Vogel, F.: Measured Canadian oil sands CO2 emissions are higher than estimates made using internationally recommended methods, Nat. Commun., 10, 1863, 10.1038/s41467-019-09714-9, 2019. · DOI
- Mauder, M., Liebethan, C., Göckede, M., Leps, J-P, Beyrich, F., and Foken, T.: Processing and quality control of flux data during LITFASS-2003, Bound.-Lay. Meteorol., 121, 67–88, 10.1007/s10546-006-9094-0, 2006. · DOI
- Meyers, T. P., Hall, M. E., Lindberg, S. E., and Kim, K.: Use of the modified Bowen-ratio technique to measure fluxes of trace gases, Atmos. Environ., 30, 3321–3329, 10.1016/1352-2310(96)00082-9, 1996. · DOI
- Moncrieff, J. B., Clement, R., Finnigan, J., and Meyers, T.: Averaging, detrending and filtering of eddy covariance time series, in: Handbook of micrometeorology: a guide for surface flux measurements, edited by:. Lee, X., Massman, W. J., and Law, B. E., Kluwer Academic, Dordrecht, 7–31, 2004. · DOI
- Myhre, G., Shindell, D., Bréon, F.-M., Collins, W., Fuglestvedt, J., Huang, J., Koch, D., Lamarque, J.-F., D. Lee, B. M., Nakajima, T., Robock, A., Stephens, G., Takemura, T., and Zhang, H.: Anthropogenic and Natural Radiative Forcing, Chapter 8, Section 8.7, in: Climate change 2013: The physical science basis: Working Group I contribution to the fifth assessment report of the Intergovernmental Panel on Climate Change, edited by: Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge University Press, Cambridge, UK and New York, NY, USA, 659–740, 2013. · DOI
- Penner, T. J. and Foght, J. M.: Mature fine tailings from oil sands processing harbour diverse methanogenic communities, Can. J. Microbiol., 56, 459–470, 10.1139/W10-029, 2010. · DOI
- Podgrajsek, E., Sahlée, E., Bastviken, D., Holst, J., Lindroth, A., Tranvik, L., and Rutgersson, A.: Comparison of floating chamber and eddy covariance measurements of lake greenhouse gas fluxes, Biogeosciences, 11, 4225–4233, 10.5194/bg-11-4225-2014, 2014. · DOI
- Prajapati, P. and Santos, E. A.: Comparing methane emissions estimated using a backward-Lagrangian stochastic model and the eddy covariance technique in a beef cattle feedlot, Agr. Forest Meteorol., 256–257, 482–491, 10.1016/j.agrformet.2018.04.003, 2018. · DOI
- Sanches, L. F., Guenet, B., Marinho, C. C., Barros, N., and de Assis Esteves, F.: Global regulation of methane emission from natural lakes, Sci. Rep.-UK, 9, 255, 10.1038/s41598-018-36519-5, 2019. · DOI
- Schmid, H. P.: Source areas for scalars and scalar fluxes, Bound.-Lay. Meteorol., 67, 293–318, 10.1007/BF00713146, 1994. · DOI
- Schubert, C. J., Diem, T., and Eugster, W.: Methane emissions from a small wind shielded lake determined by eddy covariance, flux chambers, anchored funnels, and boundary model calculations: A comparison, Environ. Sci. Technol., 46, 4515–4522, 10.1021/es203465x, 2012. · DOI
- Siddique, T., Fedorak, P. M., MacKinnon, M. D., and Foght, J. M.: Metabolism of BTEX and Naphtha Compounds to Methane in Oil Sands Tailings, Environ. Sci. Technol., 41, 2350–2356, 10.1021/es062852q, 2007. · DOI
- Siddique, T., Gupta, R., Fedorak, P. M., MacKinnon, M. D., and Foght, J. M.: A first approximation kinetic model to predict methane generation from an oil sands tailings settling basin, Chemosphere, 72, 1573–1580, 10.1016/j.chemosphere.2008.04.036, 2008. · DOI
- Siddique, T., Penner, T., Semple, K., and Foght, J. M.: Anaerobic biodegradation of longer-chain n-alkanes coupled to methane production in oil sands tailings, Environ. Sci. Technol., 45, 5892–5899, 10.1021/es200649t, 2011. · DOI
- Siddique, T., Penner, T., Klassen, J., Nesbø, C., and Foght, J. M.: Microbial communities involved in methane production from hydrocarbons in oil sands tailings, Environ. Sci. Technol., 46, 9802–9810, 10.1021/es302202c, 2012. · DOI
- Simpson, I. J., Blake, N. J., Barletta, B., Diskin, G. S., Fuelberg, H. E., Gorham, K., Huey, L. G., Meinardi, S., Rowland, F. S., Vay, S. A., Weinheimer, A. J., Yang, M., and Blake, D. R.: Characterization of trace gases measured over Alberta oil sands mining operations: 76 speciated C2–C10 volatile organic compounds (VOCs), CO2, CH4, CO, NO, NO2, NOy, O3 and SO2, Atmos. Chem. Phys., 10, 11931–11954, 10.5194/acp-10-11931-2010, 2010. · DOI
- Small, C. C., Cho, S., Hashisho, Z., and Ulrich, A. C.: Emissions from oil sands tailings ponds: Review of tailings pond parameters and emission estimates, J. Petrol. Sci. Eng., 127, 490–501, 10.1016/j.petrol.2014.11.020, 2015. · DOI
- Statutes of Alberta: Oil sands emissions limit act Chapter O-7.5, available at: http://www.qp.alberta.ca/documents/Acts/O07p5.pdf (last access: 21 October 2019), 2016.
- Strawbridge, K. B., Travis, M. S., Firanski, B. J., Brook, J. R., Staebler, R., and Leblanc, T.: A fully autonomous ozone, aerosol and nighttime water vapor lidar: a synergistic approach to profiling the atmosphere in the Canadian oil sands region, Atmos. Meas. Tech., 11, 6735–6759, 10.5194/amt-11-6735-2018, 2018. · DOI
- Wilczak, J. M., Oncley S. P., and Stage, S.A.: Sonic anemometer tilt correction algorithms, Bound-Lay. Meteorol., 99, 127–150, 10.1023/A:1018966204465, 2001. · DOI
- Wolf, A., Saliendra, N., Akshalov, K., Johnson, D. A., and Laca, E.: Effects of different eddy covariance correction schemes on energy balance closure and comparisons with the modified Bowen ratio system, Agr. Forest Meteorol., 148, 942–952, 10.1016/j.agrformet.2008.01.005, 2008. · DOI
- Xiao, W., Liu, S., Li, H., Xiao, Q., Wang, W., Hu, Z., Hu, C., Gao, Y., Shen, J., Zhao, X., Zhang, M., and Lee, X.: A flux-gradient system for simultaneous measurement of the CH4, CO2, and H2O fluxes at a lake-air interface, Environ. Sci. Technol., 48, 14490–14498, 10.1021/es5033713, 2014. · DOI
- Yeh, S., Jordaan, S. M., Brandt, A. R., Turetsky, M. R., Spatari, S., and Keith, D. W.: Land use greenhouse gas emissions from conventional oil production and oil sands, Environ. Sci. Technol., 44, 8766–8772, 10.1021/es1013278, 2010. · DOI
- You, Y., Moussa, S. G., Zhang, L., Fu, L., Beck, J., and Staebler, R. M.: Quantifying fugitive gas emissions from an oil sands tailings pond with open-path Fourier transform infrared measurements, Atmos. Meas. Tech., 14, 945–959, 10.5194/amt-14-945-2021, 2021. · DOI
- Zhang, L., Cho, S., Hashisho, Z., and Brown, C.: Quantification of fugitive emissions from an oil sands tailings pond by eddy covariance, Fuel, 237, 457–464, 10.1016/j.fuel.2018.09.104, 2019. · DOI
- Zhao, J., Zhang, M., Xiao, W., Wang, W., Zhang, Z., Yu, Z., Xiao, Q., Cao, Z., Xu, J., Zhang, X., Liu, S., and Lee, X.: An evaluation of the flux-gradient and the eddy covariance method to measure CH4, CO2, and H2O fluxes from small ponds, Agr. Forest Meteorol., 275, 255–264, 10.1016/j.agrformet.2019.05.032, 2019. · DOI
Metadata
- Authors
- You, Y., Staebler, R. M., Moussa, S. G., Beck, J., & Mittermeier, R. L.
- Affiliations
- Environment and Climate Change Canada (CA)
- Suncor Energy (Canada) (CA)
- Corresponding author
- You, Yuan
- Staebler, Ralf M.
- Venue
- Atmospheric Measurement Techniques
- Publisher
- Copernicus GmbH
- Published
- 2021-03-08
- Volume
- 14
- Issue
- 3
- Pages
- 1879-1892
- ISSN
- 1867-1381 (ISSN-L)
- 1867-8548
- OpenAlex
- W3036105796
- Cited by
- 58
- References
- 54
- Citations by year
- 2026: 4 · 2025: 4 · 2024: 11 · 2023: 15 · 2022: 11 · 2021: 11
- FWCI
- 4.92
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Atmospheric measurement techniques (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Natural Resources Canada (Program for Energy Research and Development)
- Environment and Climate Change Canada (Climate Change and Air Pollution Program)
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Atmospheric and Environmental Gas Dynamics
- Physical Sciences › Environmental Science › Ecology › Peatlands and Wetlands Ecology
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Climate change and permafrost
- Keywords
- methane emissions, oil sands tailings ponds, fugitive emissions, greenhouse gas emissions, eddy covariance, flux chamber, diurnal variation, footprints, regulatory compliance monitoring, Alberta oil sands
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- You, Y., Staebler, R. M., Moussa, S. G., Beck, J., & Mittermeier, R. L. (2021). Methane emissions from an oil sands tailings pond: a quantitative comparison of fluxes derived by different methods. Atmospheric Measurement Techniques. https://doi.org/10.5194/amt-14-1879-2021