A CNN trained on shallow-water equation simulations predicts 2D urban flood states 30 minutes ahead with reported accuracy and a large speedup over the PDE solver.
A hybrid method for flood simulation in small catchments combining hydrodynamic and hydrological techniques
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Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development
A CNN trained on shallow-water equation simulations predicts 2D urban flood states 30 minutes ahead with reported accuracy and a large speedup over the PDE solver.