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An evaluation of soil hydraulic parameter uncertainty on the hydrologic performances of oil sands reclamation covers

Md Shahabul Alam, S Lee Barbour, Mingbin Huang

In the proceedings of: GeoEdmonton 2018: 71st Canadian Geotechnical Conference; 13th joint with IAH-CNC

Session: Mining, Energy Development and Groundwater I

ABSTRACT: The performance of oil sands reclamation covers is evaluated through the simulation of long-term water balance using calibrated soil-vegetation-atmosphere-transfer models. Conventional practice is to develop a single set of calibrated properties based on few monitoring data sets. The ability to characterize spatial or temporal variability in the cover properties is therefore limited. This study utilizes inverse modelling (IM) to optimize the hydraulic properties for 12 prototype covers, replicated in triplicate, at Syncrude’s Aurora mine site. IM was used to optimize the hydraulic parameters for three soil types (peat, sandy subsoil, and lean oil sand) for each monitoring site from 2013-2016. 155 optimized parameter values helped define parameter uncertainty for each soil. Calibrated models were used to evaluate variations in the maximum sustainable LAI and quantify uncertainty associated with long-term water balance based on calibrated parameters and LAI values.


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Cite this article:
Alam, Md Shahabul, Barbour, S Lee, Huang, Mingbin (2018) An evaluation of soil hydraulic parameter uncertainty on the hydrologic performances of oil sands reclamation covers in GEO2018. Ottawa, Ontario: Canadian Geotechnical Society.

@inproceedings{Alam_GEO2018_452, author = {{Alam, Md Shahabul}, {Barbour, S Lee}, {Huang, Mingbin}}
title = {An evaluation of soil hydraulic parameter uncertainty on the hydrologic performances of oil sands reclamation covers }
booktitle = {Proceedings of the 71st Canadian Geotechnical Conference; 13th joint with IAH-CNC }
year = {2018}
organization = {The Canadian Geotechnical Society},
address = {Ottawa, Canada} }
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