Abstract
Hydrologic models are important for effective water resources management at a basin level. This paper describes an application of the HEC-HMS hydrologic model for simulations of flood hydrographs in the Lukovska River basin. Five flood events observed at the Mercez stream gauge were available for modelling purposes. These events are from two distinct periods and two seasons with different prevailing runoff generation mechanisms. Hence the events are assigned to either ?present? or ?past?, and ?spring? or ?summer? group. The optimal parameter sets of each group are obtained by averaging the optimal parameters for individual events within the group. To assess model transferability, its applicability for simulation of flood events which are not considered in the model calibration, a cross-validation is performed. The results indicate that model parameters vary across the events, and that parameter transfer generally leads to considerable errors in hydrograph peaks and volumes, with the exception of simulation of summer events with ?spring? parameters. Based on these results, recommendations for event-based modeling are given.
Highlights
IntroductionHydrological (rainfall-runoff) models are a simplified representation of runoff generation in basins
Hydrological models are a simplified representation of runoff generation in basins
The largest variability is shown by initial loss (Ia), hydrologic models running with hourly time step. which is expected since antecedent conditions in Baseflow-related parameters show relatively low the basin are event-specific
Summary
Hydrological (rainfall-runoff) models are a simplified representation of runoff generation in basins. Hydrologic models are widely used for flow forecasts, design flow estimation, which are used for e.g. the design of flood protection structures, analysis of urban drainage systems, water resources management in a basin, understanding of hydrological processes, etc. In addition to the accuracy of the simulation results, preferably hydrologic models should have as parsimonious structure as possible to facilitate their wide application (G ay athri et al, 2015). The required input as well as the simulated hydrological variables depend on the particular model, i.e., different models require different data and simulate different variables (e.g., runoff, soil moisture, groundwater, actual evapotranspiration). In addition to state variables (e.g., soil moisture) and fluxes (e.g., flow, infiltration, evapotranspiration), model equations include parameters. Model calibration implies adjustment of the parameters in order to get the best possible agreement between simulated and observed variables (B even , 2003)
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