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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://repozitorij.uni-lj.si/IzpisGradiva.php?id=139886"><dc:title>The use of the rainfall compound analysis in the process of the design discharge estimation in Slovenia</dc:title><dc:creator>Serwińska,	Agata	(Avtor)
	</dc:creator><dc:creator>Bezak,	Nejc	(Mentor)
	</dc:creator><dc:creator>Šraj,	Mojca	(Komentor)
	</dc:creator><dc:subject>civil engineering</dc:subject><dc:subject>master thesis</dc:subject><dc:subject>compound events</dc:subject><dc:subject>spatial and temporal precipitation clustering</dc:subject><dc:subject>rainfall event design</dc:subject><dc:description>Compound events for a long time did not get enough scientific attention, due to the complexity of these occurrences. Yet, taking synchronisation of various natural process into account can significantly improve the reliability and accuracy of modelling, design and prediction of natural disasters. In this thesis the topic of compound events, especially spatial and temporal clustering of precipitation is addressed. The analysis of the rainfall clustering is performed for the Sava River catchment in Slovenia. For the investigation hourly precipitation values obtained from ARSO (Slovenian Environment Agency) were used. Afterwards, hydrological modelling of the Sava River catchment up to the Čatež gauging station was performed using GR4H model with included snow module. Analysis of temporal clustering shown, that 3 hours period before the extreme precipitation event is the most crucial in terms of contributing into antecedent rainfall amount. Spatial clustering analysis performed on both hourly and daily data shown a distinctive clustering of rainfall in space: very strong clustering pattern in the western are of the catchment with rapid drop in clustering radius towards the eastern part. The results from both clustering analysis and hydrological modelling were used in order to obtain a design rainfall event that could be used as an input for hydrological modelling in ungauged catchments. The design rainfall event was obtained by the use of Huff and intensity-duration-frequency (IDF) curves. Final results show that even on such a small area (i.e., around 10,000 km2), very distinctive precipitation clustering patterns, both in space and time, can be noticed and as such they should be included in the future design of the rainfall events in the flood studies of this area. Overall, it is also highly recommended to keep in mind and pay attention to including possible synchronisation of natural events more frequently in scientific research.</dc:description><dc:publisher>[A. Serwińska]</dc:publisher><dc:date>2022</dc:date><dc:date>2022-09-08 08:45:02</dc:date><dc:type>Magistrsko delo/naloga</dc:type><dc:identifier>139886</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
