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https://hdl.handle.net/2440/62488
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DC Field | Value | Language |
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dc.contributor.advisor | Metcalfe, Andrew | en |
dc.contributor.advisor | Boland, John William | en |
dc.contributor.advisor | Howlett, Phil | en |
dc.contributor.author | Webby, Roger Brian | en |
dc.date.issued | 2009 | en |
dc.identifier.uri | http://hdl.handle.net/2440/62488 | - |
dc.description.abstract | In this thesis I develop mathematical models of freshwater resources and assess the application of a risk measure, Conditional Value-at-Risk, as a criterion for making decisions on the allocation of these resources. The nature of hydrological systems is such that they are well represented by stochastic models. The models considered are: time simulation; stochastic and deterministic linear programming; and stochastic dynamic programming. The hydrological applications are: draw down of dams; allocation and blending of water resources; operation of a small-scale solar-powered desalination plant; and insurance against fishery and crop shortfall. In water resource applications, optimisation models usually have the goal of maximising expected return, or utility, but here I demonstrate that the minimisation of the risk metric is a relevant additional criterion to expected return for water resource management. | en |
dc.subject | water resource management; risk; optimisation | en |
dc.title | Applications of conditional value-at-risk to water resources management. | en |
dc.type | Thesis | en |
dc.contributor.school | School of Mathematical Sciences | en |
dc.provenance | Copyright material removed from digital thesis. See print copy in University of Adelaide Library for full text. | en |
dc.description.dissertation | Thesis (Ph.D) - School of Mathematical Science, 2009 | en |
Appears in Collections: | Research Theses |
Files in This Item:
File | Description | Size | Format | |
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01front.pdf | 555.9 kB | Adobe PDF | View/Open | |
02whole.pdf | 1.14 MB | Adobe PDF | View/Open |
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