Climate variability has a significant impact on hydrological cycle and changes it. All of the analyses so far show the importance of efforts to adapt to new climate changes, how early detection and a good understanding of hydrological extremes can help to improve the preparedness of professional services and thus contribute to more effective actions.
The thesis includes a statistical analysis of specific characteristic discharges of Slovenian rivers, namely mean small, mean discharges and the highest discharges for a 58-year period (1960-2018). The analysis was performed for 50 water gauging stations belonging to the official network of water gauging stations, whose hydrometric flow data are freely available on the website of the Slovenian Environment Agency (ARSO).
When presenting the specific characteristic values of the discharges, we concluded that the highest discharges at most of the studied gauging stations have a larger range of values than the mean small and mean discharges. This is most evident for the mean discharges, while for the highest discharges the autumn months are more prominent as the wetter months. From the spatial perspective we can conclude that the indication for the specific values of the mean small and mean discharges is quite evenly distributed across Slovenia, with differences only for the highest discharges. In case of mean small and mean discharges we divided the gauging stations into 5 groups using hierarchical clustering, while for the highest discharges 4 groups were formed. Most gauging stations followed the long-term average, with the summer months recording the lowest data values and some spring and autumn months recording higher values.
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