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dc.contributor.authorKim, Dong Haen_US
dc.date.accessioned2013-01-17T22:05:21Z
dc.date.available2013-01-17T22:05:21Z
dc.date.issued2011-11-11en_US
dc.identifier.urihttp://hdl.handle.net/1853/45931
dc.description.abstractA key element of hydrologic routing models is the storage-discharge relationship assumed to follow a certain mathematical form, usually a linear or a power function, the parameters of which are calibrated based on existing inflow-outflow data. While this assumption simplifies the model calibration process, it also constrains the models to operate by this function throughout their flow range. In view of the complex and nonlinear river flow behavior, this approximation undoubtedly introduces errors. This research presents a new hydrologic river routing approach that is not limited by the above assumption. River reaches are modeled as cascades of interacting conceptual reservoirs, with storage-discharge functions identified by the data. A novel parameter estimation approach has been developed to identify these functions and all other model parameters based on control theory concepts. After calibration, these functions indeed exhibit different mathematical forms at different regions of their active variation range. The new approach is applied and successfully demonstrated in real world reservoir and river routing applications from the Nile River Basin. A Bayesian forecasting scheme was also developed that uses the new approach to generate flow forecasts with explicit uncertainty characterization.en_US
dc.publisherGeorgia Institute of Technologyen_US
dc.subjectEnsemble forecastingen_US
dc.subjectMeta-Gaussianen_US
dc.subjectHistorical analogsen_US
dc.subjectBayesianen_US
dc.subjectEquatorial lakesen_US
dc.subjectCascadeen_US
dc.subjectOptimal controlen_US
dc.subjectOptimizationen_US
dc.subjectLinear quadraticen_US
dc.subjectNileen_US
dc.subjectWater balanceen_US
dc.subjectNormal quantile transformen_US
dc.subject.lcshUncertainty
dc.subject.lcshHydrology
dc.subject.lcshFlood routing
dc.titleA new nonlinear hydrologic river routing modelen_US
dc.typeDissertationen_US
dc.description.degreePhDen_US
dc.contributor.departmentCivil and Environmental Engineeringen_US
dc.description.advisorCommittee Chair: Georgakakos, Aris; Committee Member: Egerstedt, Magnus; Committee Member: Luo, Jian; Committee Member: Sturm, Terry; Committee Member: Yao, Huamingen_US


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