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1D Model vs 2D Model for Flooding Events

8 pagesPublished: September 20, 2018

Abstract

One dimensional (1D) shallow water models are widely used for prediction purposes to assess and help river basin administrations and public authorities in the decision-making process. However, their results can be inaccurate since the hypotheses underlying the 1D model are not satisfied during flooding events. On the other hand, two-dimensional (2D) models offer more information to follow the inundation process and the flow properties over floodplains. Despite the well- known higher computational cost of 2D models, they have gained popularity since they can be implemented under GPU cards that allow faster computations, providing more information than 1D models. In this work, two flooding events in the Ebro River (Spain) are analyzed to evaluate the performance of both 1D and 2D shallow water models.

Keyphrases: 1D shallow water, 2D shallow water, Flooding, GPU computing

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 1449--1456

Links:
BibTeX entry
@inproceedings{HIC2018:1D_Model_vs_2D,
  author    = {Mario Morales-Hern\textbackslash{}'andez and Isabel Echeverribar and Pilar Garc\textbackslash{}'ia-Navarro and Pilar Brufau},
  title     = {1D Model vs 2D Model for Flooding Events},
  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     = {1449--1456},
  year      = {2018},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {https://easychair.org/publications/paper/Z8CT},
  doi       = {10.29007/rdh5}}
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