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Permanent link (DOI): https://doi.org/10.7939/R3VD48

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Prediction of Rainfall Runoff for Soil Cover Modelling Open Access

Descriptions

Other title
Subject/Keyword
saturated hydraulic conductivity
rainfall runoff
infiltration
modelling
runoff prediction
soil cover
soil properties
rainfall intensity
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Jubinville, Sarah K.
Supervisor and department
Wilson, G. Ward (Civil and Environmental Engineering)
Examining committee member and department
Sego, Dave (Civil and Environmental Engineering)
McCartney, Daryl (Civil and Environmental Engineering)
Department
Department of Civil and Environmental Engineering
Specialization
Geotechnical Engineering
Date accepted
2013-01-15T15:22:23Z
Graduation date
2013-06
Degree
Master of Science
Degree level
Master's
Abstract
Surface runoff can be the largest component of the surface water budget that controls the quantity of precipitation that could infiltrate through a soil cover into underlying waste material. Site-specific models are routinely used to predict infiltration; however, the direct measurement of runoff that is required to properly calibrate the model is almost never performed. To date, there does not appear to be a proven reliable procedure for predicting surface runoff based on measurable properties at the soil surface. This thesis presents a field and laboratory program to characterize the hydraulic properties of a compacted waste rock and overburden soil cover at the Savage River Mine in Australia. A physically based one-dimensional model was developed for predicting surface runoff using the measured rainfall intensity and surface saturated hydraulic conductivity. Runoff predictions from the proposed Savage River Runoff Model (SRR Model) and the SoilCover computer model are compared to measured runoff quantities. Both models are shown to be sensitive to the resolution of the rainfall data used as input. Runoff predictions from both models were also found to vary considerably within the natural variability of surface saturated hydraulic conductivity. In summary, it was concluded that both models are capable of predicting surface runoff volumes within 4%, provided engineering judgment is used when inputting rainfall and measured soil properties.
Language
English
DOI
doi:10.7939/R3VD48
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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File title: Prediction of Rainfall Runoff for Soil Cover Modelling
File author: Sarah K. Jubinville
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