The goal of Daniel Cornel's PhD thesis is to develop a new strategy to extract relevant information from time-dependent and uncertain simulation data and to process it visually in a way that supports the user in performing a specific step in the flood protection process.
Floods are among the most frequent natural disasters in Austria and the planning of protective measures is essential for the safety of people and infrastructure. Computer simulations such as the decision support tool Visdom developed by VRVis have been playing an enormously important role in this context for a long time, because they allow to run through all possible flood scenarios and help assessing protection measures based on real data. The great challenges here are the large amounts of data and realistic interactive hydrodynamic modeling. The PhD thesis of Daniel Cornel addresses exactly this issue.
The winners of the TÜV Austria Science Award will be presented at a virtual event on November 18, 2020.