Abstract
In the case of ungauged catchments, different procedures can be used to derive the design hydrograph and design peak discharge, which are crucial input data for the design of different hydrotechnical engineering structures, or the production of flood hazard maps. One of the possible approaches involves using a hydrological model where one can calculate the design hydrograph through the design of a rainfall event. This study investigates the impact of the design rainfall on the combined one-dimensional/two-dimensional (1D/2D) hydraulic modelling results. The Glinščica Stream catchment located in Slovenia (central Europe) is used as a case study. Ten different design rainfall events were compared for 10 and 100-year return periods, where we used Huff curves for the design rainfall event definition. The results indicate that the selection of the design rainfall event should be regarded as an important step, since the hydraulic modelling results for different scenarios differ significantly. In the presented experimental case study, the maximum flooded area extent was twice as large as the minimum one, and the maximum water velocity over flooded areas was more than 10 times larger than the minimum one. This can lead to the production of very different flood hazard maps, and consequently planning very different flood protection schemes.
Highlights
Floods are one of the natural disasters that cause a large amount of economic damage and endanger human lives all over the world [1]
This study presents combined hydrological and hydraulic modelling results for the Glinščica
Stream catchment in Slovenia, which can be regarded as a small-scale catchment that is ungauged in terms of discharges
Summary
Floods are one of the natural disasters that cause a large amount of economic damage and endanger human lives all over the world [1]. Floods are still one of the natural disasters that cause large amounts of economic damage and have significant direct and indirect consequences for the environment and society; by properly designing different flood protection schemes, one can manage flood risk, and reduce the casualties due to flooding [4]. If discharge data is available, one can perform either univariate [5] or multivariate [6] flood frequency analysis in order to define design variables. Blöschl et al [7] made a comprehensive overview of methods that can be used for predictions of different hydrological variables in cases of the so-called ungauged catchments. One of the methods that can be used to estimate design variables in such cases is the application of a hydrological model
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