May 24, 2019   1:14 p.m. Ela
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Hybrid methods for the modeling and evaluation of hydrological extremes for risk analysis.

Supervisor: prof. Ing. Kamila Hlavčová, PhD.

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Project description:New methods for the modeling of hydrological extremes for risk management and the control of water resources systems will be developed. Hydrological extremes will be modeled within a hybrid modeling framework by decomposing the modeling problem into component processes and using process physics models where appropriate and time series models where these are best suited. The modeling of extremes will use deterministic rainfall-runoff models and stochastic models for input modeling into these. Development and hydrological correct parameterization of hydrometeorological times series models based on scaling theory using random cascades, nonlinear time series models including regime switching models and data driven model is envisaged for the stochastic component of the hybrid modeling framework. Extremes will be assessed by multivariate probabilistic analysis using the copula approach. Uncertainties originating from regional transfer of models will be investigated in order to enable their use in ungauged basins.
Kind of project:VEGA ()
Department:Department of Land and Water Resources Management (FCE)
Project identification:1/0908/11
Project status:Successfully completed
Project start date :01. 01. 2011
Project close date:31. 12. 2013
Number of workers in the project:2
Number of official workers in the project:0