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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=148918"><dc:title>Evaluation of flood protection measures under climate change scenarios</dc:title><dc:creator>Unger,	Kristina	(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>flood risk management study</dc:subject><dc:description>Floods are estimated to be one of the most frequently occurring natural hazards in Europe, which brings significant damages and threats to human life. Different mitigating strategies are being implemented nowadays to cope with different flood events due to the unpredictability of each particular flood disaster. What is more, the frequency and magnitude of this devastating natural phenomenon is expected to increase over time, which makes it necessary to establish effective flood mitigation measures to deal with the severe hazard. This research was conducted in order to define the most effective and suitable flood mitigation facilities for the selected case study, which is the Glinščica River catchment, located within the Ljubljana municipality in Slovenia. In this study to achieve the main research objective the following grey, green and hybrid flood mitigation measures were chosen for further modelling based on the conducted literature review: sidewalks and drywells/cisterns (grey measures), urban trees and rain gardens (green measures), green roofs and stormwater tree trenches (hybrid measures). The hydrological modelling was performed in HEC-HMS software to analyze the performance of the selected flood mitigation measures and define the most feasible ones for the chosen case study. To accomplish this, synthetic rainfall events and climate change scenarios were used as precipitation data. The modelling procedure was based on the SCS Curve Number (CN) method, where the CNs for each subbasin and each particular scenario were chosen according to the SCS soil type and land use type maps. In addition, lag time parameters were also calculated for each case based on the defined CNs and characteristics of each subbasin. In this study rain gardens were found to be the most effective measure with respect to the reduction in peak discharge and outflow volume at the final point of the Glinščica River model. Both green roofs and stormwater cisterns 1 (volume~11.4 m3) also showed relatively good results compared to the remaining measures. Depending on the scenario (1-8), the last place was occupied by permeable sidewalks and stormwater cisterns 2 (volume~5.7 m3). The detailed modelling procedure and final outcomes of the research are presented throughout this study.</dc:description><dc:publisher>K. Unger</dc:publisher><dc:date>2023</dc:date><dc:date>2023-09-01 07:45:29</dc:date><dc:type>Magistrsko delo/naloga</dc:type><dc:identifier>148918</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
