Supervisors: Adina Moraru, Nils Rüther, Oddbjørn Bruland
Project: World of Wild Waters (WoWW)
The prediction accuracy required to implement risk alleviation measures is a core issue when addressing flood risk assessment. This thesis aims at evaluating the impact of variable mesh refinement in the precision of hydrodynamic models compared with full hydrodynamic simulations. The case study for this thesis will be a recently documented flood in a Norwegian river. The final outcome should be a decision tree for optimal model design.
Figures show documentation on a recent flood event (Utvik, 2017) and topography representation at different grid resolutions (Xia et al., 2019).
Implications of this master thesis: improving flood simulations in steep rivers through more efficient simulation models. The gathered knowledge will help develop a methodology that will increase flood simulation efficiency (e.g. improving simulation speed without truly compromising on the precision of the outcome), eventually contributing to the state-of-the-art of real-time fluid simulations. The resulting scenarios will be implemented into a visualization platform (e.g. Virtual Reality), further used in decision-making.
The student involved in this project should have interest in numerical modelling and natural hazards, as well as be inclined to research on topography representation and different GIS tools.
The candidate must be familiarised with hydraulics and fluid dynamics.