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Simulation of the January 2014 flood on the Secchia River using a fast and high-resolution 2D parallel shallow-water numerical scheme

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  • Renato Vacondio
  • Francesca Aureli
  • Alessia Ferrari
  • Paolo Mignosa
  • Alessandro Dal Palù

Abstract

The capability of a GPU-parallelized numerical scheme to produce accurate and fast simulations of floodings induced by levee breaches in large domains, adopting high-resolution digital terrain maps, is investigated. The good predictive skills of the presented 2D shallow-water model were proven with regard to the inundation caused by a levee breach that occurred on the Secchia River, Italy, in January 2014. The numerical computations were carried out on a domain of about 180 km 2 adopting a Cartesian grid of approximately 7.2 M cells with size 5 m. The results of the simulation were validated against several field data and observations, including a high-resolution synthetic aperture radar image. A ratio of simulation to physical times of about 1/15 was achieved; this kind of simulation tool opens up new perspectives in the devising and implementing of flood event management strategies for civil protection purposes and with the aim of minimizing the economic loss. Copyright Springer Science+Business Media Dordrecht 2016

Suggested Citation

  • Renato Vacondio & Francesca Aureli & Alessia Ferrari & Paolo Mignosa & Alessandro Dal Palù, 2016. "Simulation of the January 2014 flood on the Secchia River using a fast and high-resolution 2D parallel shallow-water numerical scheme," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(1), pages 103-125, January.
    • Handle: RePEc:spr:nathaz:v:80:y:2016:i:1:p:103-125
    DOI: 10.1007/s11069-015-1959-4
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    1. Stephane Hallegatte & Colin Green & Robert J. Nicholls & Jan Corfee-Morlot, 2013. "Future flood losses in major coastal cities," Nature Climate Change, Nature, vol. 3(9), pages 802-806, September.
    2. Brenden Jongman & Stefan Hochrainer-Stigler & Luc Feyen & Jeroen C. J. H. Aerts & Reinhard Mechler & W. J. Wouter Botzen & Laurens M. Bouwer & Georg Pflug & Rodrigo Rojas & Philip J. Ward, 2014. "Increasing stress on disaster-risk finance due to large floods," Nature Climate Change, Nature, vol. 4(4), pages 264-268, April.
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    Cited by:

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    2. Mayara Maria Arruda Gomes & Lívia Fragoso Melo Verçosa & José Almir Cirilo, 2021. "Hydrologic models coupled with 2D hydrodynamic model for high-resolution urban flood simulation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 108(3), pages 3121-3157, September.
    3. Echeverribar, I. & Brufau, P. & García-Navarro, P., 2023. "Extension of a Roe-type Riemann solver scheme to model non-hydrostatic pressure shallow flows," Applied Mathematics and Computation, Elsevier, vol. 440(C).
    4. Daniela Molinari & Susanna Dazzi & Edoardo Gattai & Guido Minucci & Giulia Pesaro & Alessio Radice & Renato Vacondio, 2021. "Cost–benefit analysis of flood mitigation measures: a case study employing high-performance hydraulic and damage modelling," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 108(3), pages 3061-3084, September.

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