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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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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.
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HESS | Articles | Volume 24, issue 2
HESS | Articles | Volume 24, issue 2
Hydrol. Earth Syst. Sci., 24, 735–759, 2020
https://doi.org/10.5194/hess-24-735-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 24, 735–759, 2020
https://doi.org/10.5194/hess-24-735-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
HESS | Articles | Volume 24, issue 2

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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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.
Read more
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Hydrology and Earth System Sciences

An interactive open-access journal of the European Geosciences Union

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