Keywords
flash flood, shallow water, multi-scale, adaptive grid, quad tree
Location
Session A1: Environmental Fluid Mechanics - Theoretical, Modelling and Experimental Approaches
Start Date
12-7-2016 3:50 PM
End Date
12-7-2016 4:10 PM
Abstract
We propose an open source solver to model flash floods, using the well-known shallowwater equations, in 2 dimensions. The full resolution of such equations have usually a high computational cost, so that majority of flood simulation softwares used for flood forecasting is using a simplification of this model, which is not relevant in the case of flash flood, where torrential flows are commons. To reduce drastically the cost of such 2D simulations, we propose a 2D shallow-water flow solver built with the open source code Basilisk (http://basilisk.fr/) which is using adaptive refinement on a quad-tree grid. We reproduce the flood of Cannes (France) which happened in October 2015 and which led to huge damage, human and material. We show that the simulation is faster than the event. We also show that our simulation predicts accurately the areas harshly touched by the flood.
Included in
Civil Engineering Commons, Data Storage Systems Commons, Environmental Engineering Commons, Hydraulic Engineering Commons, Other Civil and Environmental Engineering Commons
Modeling the flash flood of Cannes (Fr) with Basilisk
Session A1: Environmental Fluid Mechanics - Theoretical, Modelling and Experimental Approaches
We propose an open source solver to model flash floods, using the well-known shallowwater equations, in 2 dimensions. The full resolution of such equations have usually a high computational cost, so that majority of flood simulation softwares used for flood forecasting is using a simplification of this model, which is not relevant in the case of flash flood, where torrential flows are commons. To reduce drastically the cost of such 2D simulations, we propose a 2D shallow-water flow solver built with the open source code Basilisk (http://basilisk.fr/) which is using adaptive refinement on a quad-tree grid. We reproduce the flood of Cannes (France) which happened in October 2015 and which led to huge damage, human and material. We show that the simulation is faster than the event. We also show that our simulation predicts accurately the areas harshly touched by the flood.
