<?xml version="1.0"?>
<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=160974"><dc:title>Modelling different flood mitigation measures using SWAT model and comparison of hydrological results with public perception</dc:title><dc:creator>Graham,	Hannah Claire	(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:subject>floods</dc:subject><dc:subject>SWAT+ hydrological model</dc:subject><dc:subject>nature-based solutions (NBS)</dc:subject><dc:subject>flood mitigation measures</dc:subject><dc:subject>public perception</dc:subject><dc:subject>multidisciplinary approach</dc:subject><dc:description>Under an increasingly variable future of weather extremes induced by global climate change, increased
flooding and associated risks are a stark new reality. The August 2023 floods in Slovenia, with millions
of euros worth in damage and 6 deaths, is just one recent example with the news increasingly abundant
in such reports from around the world. It is against this backdrop that careful and urgent attention needs
to be directed to what mitigation measures could and should be adopted to reduce this risk. The debate
between the effectiveness of nature-based solutions (NBS) and other measures is hotly contended. There
is much uncertainty in terms of the money, resources and focus that goes into these measures.
In order to assess and compare the effectiveness of green, hybrid and grey measures on mitigating the
flood risk in terms of reducing the peak discharge and flood peak, and increasing the lag time, a case
study of the Gradaščica river catchment was selected. Wetland, retention polder and dam scenarios were
developed to illustrate these measures by modelling them using the SWAT+ hydrological model, with
a focus on the August 2023 flood event. This analysis showed that wetlands had only a minor effect on
reducing the flood risk, whereas retention polders and dams were both able to significantly affect the
discharge peak at the Dvor gauging station and the flood volume, as well as to increase the lag time,
with dams being particularly effective.
Following this hydrological assessment, a public perception analysis was done using data collected from
a survey across Slovenia, the Czech Republic and the Netherlands. The survey data was analysed using
the Kruskal-Wallis test and a Canonical Correspondence Analysis (CCA) was done to assess the factors
that were influencing the public perception results. With a specific focus on Slovenia, and comparing
across the general public and three expert groups – water engineers, researchers in the field of flood or
water management, and agricultural workers – it was found that there were perception discrepancies
between the groups. In general, the public overestimated the performance of green measures, whilst grey
measures were considered most effective but least feasible. Comparing the hydrological and public
perception results, it was found that most groups rated the grey measures the highest and green measures
the lowest in terms of effectiveness, matching the order of hydrological results, although the researchers
had a directly opposing view.
This study concluded by highlighting the importance of multidisciplinary approaches to flood risk
management and how hydrological models could provide more compelling, data-driven illustrations that
could aid public in their perception of risks and risk mitigation, to allow for well-informed decisions to
be made that are best suited to that particular catchment.</dc:description><dc:publisher>[H. C. Graham]</dc:publisher><dc:date>2024</dc:date><dc:date>2024-09-06 07:45:52</dc:date><dc:type>Magistrsko delo/naloga</dc:type><dc:identifier>160974</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
