Flood risk assessment is important in minimizing damages and economic losses caused by flood events.
A team of researchers from Vienna University of Technology and visual computing firm VRVis, are using GPUs to run fast simulations of large-scale scenarios, including river flooding, storm-water events and underground flows.
The researcher’s primary interest is in decision-making systems, where they evaluate many different scenarios and select the solution with the best outcome, which is usually very computationally expensive. Therefore, simulation runs need to be as fast as possible to reduce the overall time required to find the best solutions.
In their real-world test case, the researchers used CUDA and a GTX TITAN GPU to simulate the overtopping of mobile flood protection walls in Cologne, Germany. The overtopping happens when the water in the Rhine River raises above 11.9 meters.
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AI-Generated Summary
- Researchers from Vienna University of Technology and VRVis are using GPUs to run fast simulations of large-scale flood scenarios, including river flooding and storm-water events.
- The team is focused on decision-making systems that evaluate many different scenarios to select the best solution, and they need fast simulation runs to reduce overall computation time.
- In a real-world test case, the researchers used CUDA and a GTX TITAN GPU to simulate the overtopping of mobile flood protection walls in Cologne, Germany, which occurs when the Rhine River water level exceeds 11.9 meters.
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