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

6 pagesPublished: September 20, 2018

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, these 1D/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.

Keyphrases: computational efficiency, Computational Hydraulics, neural networks, surrogate modelling, Urban drainage model, urban flooding

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 2327--2332

Links:
BibTeX entry
@inproceedings{HIC2018:Development_of_Fast_Urban,
  author    = {Vincent Wolfs and Victor Ntegeka and Mar\textbackslash{}'ia Berm\textbackslash{}'udez and Patrick Willems},
  title     = {Development of a Fast Urban Flood Model for Real-Time Applications},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  pages     = {2327--2332},
  year      = {2018},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {https://easychair.org/publications/paper/wk8p},
  doi       = {10.29007/1chf}}
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