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Department of Civil Engineering

Bayesian networks for spatio-temporal integrated catchment assessment

Abstract

dc:description.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.

Degree

thesis:*
Grantor dc:publisher.institution
Department of Civil Engineering
Year dc:date.issued
2010

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Dondo, C
Advisors dc:contributor.advisor
  • Rivett, Ulrike
  • Chevallier, LP
  • Potgieter, Anet

Rights

Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11427/10327
OAI identifier oai:identifier
oai:open.uct.ac.za:11427/10327

Chain of custody

source
Harvested from
University of Cape Town
Base URL
open.uct.ac.za/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Dondo, C. Bayesian networks for spatio-temporal integrated catchment assessment. Department of Civil Engineering, 2010. http://hdl.handle.net/11427/10327