Flood risk screening with computers and math

PhD defence, Friday 18 January 2019. Mathias Rav.

2019.01.18 | Maia Høyer Monod

Mathias Rav

During his studies, Mathias Rav researched algorithms to determine which areas are flooded after heavy rainfall. On 26 August 2012, Denmark saw much more rain in a few hours than the average total for August, and Lystrup in particular was flooded in areas that had never been flooded before. To minimize future flood risk, the municipality has dug new waterways under Djurslandmotorvejen to transport rain water away from Lystrup to Egå Engsø where it is harmless. If the construction of Djurslandmotorvejen in 2008 had taken flood risk precautions into consideration, for instance by using the algorithms developed by Mathias Rav, the property damage caused by the flood in August 2012 could have been greatly reduced.

The PhD degree was completed at the Center for Massive Data Algorithmics, Department of Computer Science, Science and Technology, Aarhus University.

This résumé was prepared by the PhD student.

Time: Friday, 18 January 2019 at 13:00
Place: Building 5342, room Ada-333, Department of Computer Science, Aarhus University, Helsingforsgade 14, 8200 Aarhus N
Title of PhD thesis: Event-Based Flood Risk Assessment on Massive Terrains
Contact information: Mathias Rav, e-mail: rav@cs.au.dk
Members of the assessment committee:
Professor Rolf Fagerberg, Department of Mathematics and Computer Science (IMADA), University of Southern Denmark
Professor Jack Snoeyink, Department of Computer Science, UNC Chapel Hill, USA
Associate Professor Peyman Afshani (chair), Department of Computer Science, Aarhus University
Main supervisor:
Professor Lars Arge, Department of Computer Science, Aarhus University
Language: The PhD dissertation will be defended in English

The defence is public.

The PhD thesis is available for reading at the Graduate School of Science and Technology/GSST, Ny Munkegade 120, building 1520 and 1521, 8000 Aarhus C.

PhD defence
12183 / i43