Stochastic dynamic programming and conditional value-at-risk to evaluate water management policies /
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(Published version)
Date
2017
Authors
Browning, Sara Ann,
Editors
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Type:
thesis
Citation
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Abstract
The premise of this study is to determine a method of assessing the environmental risk to the Murray-Darling Basin system and trying to minimise that risk whilst still making a reasonable financial return. I will begin my research by looking at a stochastic dynamic programming (SDP)model for the multi-reservoir system of the Murray-Darling Basin using decomposition, aggregation and iterative processes. Then I will incorporate conditional value-at-risk (CVaR) into the model to evaluate the environmental risk to the system. My objective is to maximise supply for critical human needs whilst minimising environmental damage to the system.
School/Discipline
University of South Australia. School of Mathematics and Statistics.
School of Mathematics and Statistics.
School of Mathematics and Statistics.
Dissertation Note
Thesis (PhD(Mathematics))--University of South Australia, 2017.
Provenance
Copyright 2017 Sara Ann Browning.
Description
1 ethesis (xv, 152 pages) :
illustrations, colour maps, charts (some colour)
Includes bibliographical references (pages 145-152)
illustrations, colour maps, charts (some colour)
Includes bibliographical references (pages 145-152)
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506 0#$fstar $2Unrestricted online access