Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/54506
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dc.contributor.authorWebby, R.-
dc.contributor.authorGreen, D.-
dc.contributor.authorMetcalfe, A.-
dc.date.issued2009-
dc.identifier.citationEnvironmental Modeling and Assessment, 2009; 14(6):749-757-
dc.identifier.issn1420-2026-
dc.identifier.issn1573-2967-
dc.identifier.urihttp://hdl.handle.net/2440/54506-
dc.descriptionThis is an extended version of a paper presented at the 17th Biennial Congress on Modelling and Simulation, Christchurch, New Zealand, December 2007.-
dc.description.abstractWater blending is modelled as a combination of a linear program and a stochastic dynamic program. Optimal policies are found for linear and integer-linear formulations using both an expected monetary value and conditional value-at-risk criterion. The sensitivity of these solutions to the discretisation over volume and over time is investigated.-
dc.description.statementofresponsibilityR. B. Webby, D. A. Green and A. V. Metcalfe-
dc.language.isoen-
dc.publisherKluwer Academic Publishers-
dc.subjectWater resource allocation-
dc.subjectLinear programming-
dc.subjectStochastic dynamic programming-
dc.subjectConditional value-at-risk-
dc.titleModelling water blending-sensitivity of optimal policies-
dc.typeConference paper-
dc.contributor.conferenceBiennial Congress on Modeling and Simulation (17th : 2007 : New Zealand)-
dc.identifier.doi10.1007/s10666-008-9166-2-
dc.publisher.placeVan Godewijckstraat 30, Dordrecht, Netherlands, 3311 GZ-
pubs.publication-statusPublished-
dc.identifier.orcidMetcalfe, A. [0000-0002-7680-3577]-
Appears in Collections:Aurora harvest 5
Environment Institute publications
Mathematical Sciences publications

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