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Bayesian networks for spatio-temporal integrated catchment assessment
Includes abstract.
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| Main Author: | |
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Department of Civil Engineering
2014
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| _version_ | 1867613190066536448 |
|---|---|
| access_status_str | Open Access |
| author | Dondo, C |
| author2 | Rivett, Ulrike |
| author_browse | Dondo, C Rivett, Ulrike |
| author_facet | Rivett, Ulrike Dondo, C |
| author_sort | Dondo, C |
| collection | Thesis |
| description | Includes abstract. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/10327 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:32:12.136Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| publisher | Department of Civil Engineering |
| publisherStr | Department of Civil Engineering |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/10327 Bayesian networks for spatio-temporal integrated catchment assessment Dondo, C Rivett, Ulrike Chevallier, LP Potgieter, Anet Civil Engineering Includes abstract. Includes bibliographical references (leaves 181-203). 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. 2014-12-28T14:40:25Z 2014-12-28T14:40:25Z 2010 Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/10327 eng application/pdf Department of Civil Engineering Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Civil Engineering Dondo, C Bayesian networks for spatio-temporal integrated catchment assessment |
| thesis_degree_str | Doctoral |
| title | Bayesian networks for spatio-temporal integrated catchment assessment |
| title_full | Bayesian networks for spatio-temporal integrated catchment assessment |
| title_fullStr | Bayesian networks for spatio-temporal integrated catchment assessment |
| title_full_unstemmed | Bayesian networks for spatio-temporal integrated catchment assessment |
| title_short | Bayesian networks for spatio-temporal integrated catchment assessment |
| title_sort | bayesian networks for spatio temporal integrated catchment assessment |
| topic | Civil Engineering |
| url | http://hdl.handle.net/11427/10327 |
| work_keys_str_mv | AT dondoc bayesiannetworksforspatiotemporalintegratedcatchmentassessment |