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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorDekker, S.
dc.contributor.authorVreeker, A.
dc.date.accessioned2015-12-15T18:00:46Z
dc.date.available2015-12-15T18:00:46Z
dc.date.issued2015
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/21456
dc.description.abstractCoastal zones are among the most densely populated placed on earth, yet are increasingly more at risk due to climate change. Flood protection systems are more in need than ever, and there are several methods to provide this protection: Traditional hard engineering structures, natural protection systems and the combination of hard structures and natural flood protection systems. The main aim of this research is to develop a method to determine where on the globe what type of flood protection is most suitable. Several parameters were determined that influence the decision on whether a traditional protection system, an ecosystem of a combination thereof is most suitable. Additionally, variables were determined to assess the most suitable ecosystem for the location. The parameters used for the first decision between traditional, ecosystems or combined are the risk at the location in %GDP, the amount of space between the location and the coast in meter, and the cost of the solution compared to the wealth of the location. The variables for the ecosystem decision are temperature and sediment type. All parameters and variables have been parameterized in a literature study. The parameterization was tested on the basis of several case studies; The Netherlands, the city of Khulna in Bangladesh and the city of New Orleans in the USA. A sensitivity analysis was then performed to test the robustness of the parameterization. The results of the decision model determining between green, grey and hybrid show a great robustness, predicting the present protection system in most cases. Results of thedecision model determining the possibility of ecosystems are also found to be robust for temperature. However, the results show that the parameterization of the variable sediment had been oversimplified, and therefore needs to be reparameterized. Our final conclusion is that the chosen parameters and variables are relevant to their respective models, and that their parameterizations in most cases represent reality in an adequate manner.
dc.description.sponsorshipUtrecht University
dc.format.extent1483748
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.titleHow to best protect your coastline against flooding? A methodological approach
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordscoastal flooding, interventions
dc.subject.courseuuSustainable Development


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