Faculty of Civil and Geodetic Engineering, Ljubljana (FGGLJ)
13.
[Chapter] 9 Regionalization of flood regimes according to flood magnitudes and other hydrological characteristics through application of the multivariate copula functions [Elektronski vir]
Morlot, Martin ...
Introduction: Floods are one of the natural disasters that can cause large economic damage and have consequently significant influence on society. The Danube River and its basin is an important ...region of Europe in terms of flood risk and floods have occurred in the Danube River basin through the whole history. Floods are a multivariate process that is defined with several depended parameters (e.g., Šraj et al., 2015). Thus, in order to investigate flood characteristics a multivariate methods should be used. Copula functions that have been in the last years used for different application are an example of such methods (e.g., Šraj et al., 2015 and cited references). Furthermore, in order to regionalize information about floods the complete hydrological process should be taken into consideration. Thus, a multivariate analysis can present a good basis for the regionalization. However, also other parameters such as seasonality analysis should be included (e.g., Bezak et al., 2016; Burn, 1997). This kind of information will be of paramount importance in the future due to climate change impact (e.g., Bezak et al., 2016; Bormann et al., 2011; Bormann and Pinter, 2017; Blöschl et al., 2017; Hall et al., 2014; Stagl and Hattermann, 2015; Šraj et al., 2016; Villarini et al., 2012). Some European countries have even suggested use the so-called adjustment factors for the design discharge estimation (e.g., Defra, 2006; Madsen et al., 2014). The design discharge estimation is one of the most important and frequently used hydrological procedures. The main aim of this paper is to perform the regionalization of floods in the Danube River basin taking into account the multivariate nature of the hydrological phenomena. In order to determine the homogenous regions different input information is used such as univariate flood frequency analysis results, multivariate flood frequency analysis results, seasonality analysis and station characteristics.
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