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Multi-criteria calibration of a hydrological model using runoff, snow water equivalent and groundwater level data
Hlavatý, Vojtěch ; Jeníček, Michal (advisor) ; Šípek, Václav (referee)
Multi-criteria calibration of a hydrological model (against multiple output variables simultaneously) has in previous research mostly resulted in satisfactory quality and reduced uncertainty in the simulations of all variables considered. However, its importance in the context of groundwater and low flows has rarely been studied. Therefore, a multi- criteria calibration using observed runoff, snow water equivalent and groundwater level data was performed in this study to determine if this approach leads to more accurate simulations, especially for low flows. The HBV hydrological model was calibrated using a genetic algorithm on the case of 14 mountain and sub-mountain basins in Czechia. The accuracy of different calibration variants was evaluated according to objective functions and hydrological signatures. The results show that multi-criteria calibration against the three mentioned variables is a good compromise for correct simulation of all these variables, where the value of objective function for each of them differs only slightly from a calibration more focused on it alone. Considering groundwater in the calibration further increases the simulated baseflow and its variability and refines the simulation of low flows, especially in summer, in terms of deficit volumes, minimum runoff and other...
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