Bayesian networks for spatio-temporal integrated catchment assessment
Doctoral Thesis
2010
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University of Cape Town
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Abstract
In this thesis, a methodology for integrated catchment water resources assessment using Bayesian Networks was developed. A custom made software application that combines Bayesian Networks with GIS was used to facilitate data pre-processing and spatial modelling. Dynamic Bayesian Networks were implemented in the software for time-series modelling.
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Includes abstract.
Includes bibliographical references (leaves 181-203).
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Dondo, C. 2010. Bayesian networks for spatio-temporal integrated catchment assessment. University of Cape Town.