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dc.contributor.authorBardsley, W. Earl
dc.contributor.authorLiu, S.
dc.coverage.spatialConference held at Christchurch, New Zealanden_NZ
dc.date.accessioned2011-06-16T03:27:13Z
dc.date.available2011-06-16T03:27:13Z
dc.date.issued2007
dc.identifier.citationBardsley, W.E. & Liu, S. (2007). A linear programming approach to fitting rainfall runoff models based on finite mixture hydrographs: a potential for flood forecasting? In L. Oxley & D. Kulasiri (Eds.), MODSIM 2007 International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2007, pp. 1763-1768.en_NZ
dc.identifier.urihttps://hdl.handle.net/10289/5400
dc.description.abstractIt is recognised that the transformation of rainfall to discharge is essentially nonlinear and it would seem logical to construct parsimonious nonlinear models to approximate the runoff process. Lumped nonlinear rainfall-runoff models are simple to construct but difficulties may be created in the calibration process if suboptimal fits to data arise from local minima in the objective function measuring goodness of fit, where small fit values indicate improved fit.en_NZ
dc.language.isoen
dc.publisherMODSIMen_NZ
dc.relation.urihttp://www.mssanz.org.au/MODSIM07/papers/28_s21/ALinearProgramming_s21_Bardsley_.pdfen_NZ
dc.sourceInternational Congress on Modelling and Simulation (MODSIM07)en_NZ
dc.subjectlinear programmingen_NZ
dc.subjectcalibrationen_NZ
dc.subjectforecastingen_NZ
dc.subjectdischargeen_NZ
dc.titleA linear programming approach to fitting rainfall runoff models based on finite mixture hydrographs: a potential for flood forecasting?en_NZ
dc.typeJournal Articleen_NZ
dc.relation.isPartOfProceedings of the International Congress on Modelling and Simulation. Land, Water and Environmental Management: Integrated Systems for Sustainability (online)en_NZ
pubs.begin-page1en_NZ
pubs.elements-id17492
pubs.end-page6en_NZ
pubs.finish-date2007-12-13en_NZ
pubs.start-date2007-12-10en_NZ


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