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Development of a Fast Urban Flood Model for Real-Time Applications

Author(s): Vincent Wolfs; Victor Ntegeka; Maria Bermudez; Patrick Willems

Linked Author(s): Patrick Willems, María Bermúdez Pita

Keywords: Computational efficiency; Computational hydraulics; Neural networks; Surrogate modelling; Urban drainage model; Urban flooding

Abstract: Detailed 1D/2D models have become standard practice for urban flood modelling. However, many applications require computationally fast simulation models. Due to their prolonged calculation times, these1D/2D models are unsuited for such applications. This research compares three modelling approaches with different levels of complexity and simulation times: (1) a highly detailed 1D/2D model, (2) a 1D/1D model with two different flood cone parameterizations, and (3) a newly developed surrogate dual drainage model. The three approaches are tested and compared on a Belgian case study. Results show that the surrogate dual drainage model can emulate the results of highly detailed models with calculation time reductions in the order of magnitude of 105.


Year: 2018

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