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dc.contributor.convenorDavid Post
dc.contributor.authorYu, B
dc.contributor.authorTisdell, J
dc.contributor.authorPodger, G
dc.contributor.authorSalbe, I
dc.contributor.editorDavid Post
dc.date.accessioned2017-05-03T12:11:42Z
dc.date.available2017-05-03T12:11:42Z
dc.date.issued2003
dc.date.modified2009-08-31T21:49:49Z
dc.identifier.isbn1-74052-098-X
dc.identifier.urihttp://hdl.handle.net/10072/1843
dc.description.abstractWith the advent of water reform framework instigated by the Council of Australian Governments (COAG), water trading on a temporary and permanent basis has become a prominent feature in all major irrigation areas in Australia. Hydrologic network models, such as the Integrated Quantity and Quality Model (IQQM), although powerful in simulating entitlement-based water allocation at the catchment scale, are unable to deal with the water reallocation through trade driven by economic conditions such as crop and water price, variable production costs. To simulate water trading, linear programming techniques are used to maximize aggregate net return subject to land, water, and crop constraints. The volume of water traded is the difference between water allocated and water required for a given simulation period. The water trading model, known as WRAM, is coupled with IQQM for the Murrumbidgee basin. IQQM represents the irrigation area in the Murrumbidgee with 49 regulated irrigation nodes that grow a variety of summer, winter and perennial crops. The water trading model runs whenever a planting decision is required, taking into account water availability, crop growth stages, crop yield and price, variable production costs, fixed and variable water charges on the potential water movement through the distribution network. WRAM provides a dynamic link with IQQM in order to assess the impacts of water management policies at the whole-of-catchment scale. The result reported in this paper is part of a CRC Catchment Hydrology project on hydrologic and economic modelling for sustainable water allocation.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent297334 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherThe Modelling and Simulation Society of Australia and New Zealand Inc
dc.publisher.placeCanberra
dc.publisher.urihttp://www.mssanz.org.au/MODSIM03/MODSIM03.htm
dc.relation.ispartofconferencenameInternational Congress on Modelling and Simulation
dc.relation.ispartofconferencetitleMODSIM 2003: INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION, VOLS 1-4
dc.relation.ispartofdatefrom2003-07-14
dc.relation.ispartofdateto2003-07-17
dc.relation.ispartoflocationTownsville, AUSTRALIA
dc.relation.ispartofpagefrom965
dc.relation.ispartofpagefrom6 pages
dc.relation.ispartofpageto970
dc.relation.ispartofpageto6 pages
dc.subject.fieldofresearchcode260502
dc.titleA hydrologic and economic model for water trading and reallocation using linear programming techniques
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.facultyGriffith Sciences, Griffith School of Engineering
gro.rights.copyright© 2003 Modellling & Simulation Society of Australia & New Zealand. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the conference link for access to the definitive, published version.
gro.date.issued2003
gro.hasfulltextFull Text
gro.griffith.authorYu, Bofu


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