Articles | Volume 24, issue 2
Hydrol. Earth Syst. Sci., 24, 735–759, 2020
https://doi.org/10.5194/hess-24-735-2020
Hydrol. Earth Syst. Sci., 24, 735–759, 2020
https://doi.org/10.5194/hess-24-735-2020

Research article 18 Feb 2020

Research article | 18 Feb 2020

Characterizing uncertainty in the hydraulic parameters of oil sands mine reclamation covers and its influence on water balance predictions

M. Shahabul Alam et al.

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Subject: Vadose Zone Hydrology | Techniques and Approaches: Modelling approaches
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Cited articles

Alam, M. S., Barbour, L., Huang, M., and Doucette, L.: An evaluation of parameter uncertainty in the calibration of a soil-vegetation-atmosphere-transfer (SVAT) model for a reclamation cover on LOS, in: 70th Canadian Geotechnical Society Conference, GeoOttawa 2017, Ottawa, Ontario, 2–4 October 2017, 8 pp., 2017. 
Alam, M. S., Barbour, S. L., Elshorbagy, A., and Huang, M.: The impact of climate change on the water balance of oil sands reclamation covers and natural soil profiles, J. Hydrometeorol., 19, 1731–1752, https://doi.org/10.1175/JHM-D-17-0230.1, 2018a. 
Alam, M. S., Barbour, S. L., and Huang, M.: An evaluation of soil hydraulic parameter uncertainty on the hydrologic performances of oil sands reclamation covers, in: 71st Canadian Geotechnical Society Conference, GeoEdmonton 2018, Edmonton, Alberta, 23–26 September 2018, 8 pp., 2018b. 
ASTM: Standard test method for particle-size analysis of soils, method D422-63, American Society for Testing and Materials, Philadelphia, PA, 1998. 
Arya, L. M., Leij, F. J., van Genuchten, M. Th., and Shouse, P. J.: Scaling parameter to predict the soil water characteristic from particle-size distribution data, Soil Sci. Soc. Am. J., 63, 510–519, 1999. 
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Short summary
This study quantifies uncertainties in the prediction of long-term water balance for mine reclamation soil covers using random sampling of model parameter distributions. Parameter distributions were obtained from model optimization for field monitoring data. Variability in climate is a greater source of uncertainty than the model parameters in evaporation predictions, while climate variability and model parameters exert similar uncertainty on predictions of net percolation.