• Maria Pappa
4. term, Geography, Master (Master Programme)
Climate change is expected to exacerbate the occurrence of coastal floods in Denmark. Concerned by the neglect of the social vulnerabilities in the flood risk assessment in Denmark, this research aims at quantifying the social vulnerability of the Danish population. Municipal-level socio-economic data are used to construct a social vulnerability index, based on the SoVI-Lite methodology, a simplified version of SoVI®. Overall, the vulnerability of 97 Danish municipalities is quantified. The majority of the municipalities exhibit moderate levels of vulnerability. Twenty municipalities scored high levels of vulnerability generating two clusters; one containing the four most populated and urban municipalities, and one with sparsely populated rural islands in the inner coast of the country. The municipalities with the lowest level of vulnerability to coastal floods tend to cluster around Copenhagen municipality. Factor analysis identified three components with the biggest influence on social vulnerability. These factors explain 83% of the data variance. The findings suggest that vulnerability is connected with the particular socio-demographic challenges of each municipality. The findings can be incorporated in the existing flood risk assessment, while they can support the work of municipalities in implementation of local plans and raise awareness about the impacts of coastal flooding in the Danish society.
Publication date6 Jun 2019
Number of pages58
ID: 305268368