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A Rapid Model for Delimiting Flooded Areas

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Abstract

Analyzing hydraulic risk involves simulating a high number of scenarios from which to draw statistical information about flood extent and depth in relation to variations in the defence conditions and the entity of the event. With the aim of keeping the computational times of simulations within reasonable values while maintaining a sufficient reliability of the results, rapid models enabling flooded areas to be delimited using a DEM have been introduced into the scientific literature. These models, called Rapid Flood Spreading Models (RFSMs), are based on highly simplifying hypotheses that are analyzed and discussed in this paper thus arriving to a new formulation. A comparison of the results produced by this new formulation versus those of other RFSMs in a test case largely characterized by flat land shows it to be superior and reliable, while maintaining the computational times to within a few seconds. The new formulation thus lends itself to being used to support hydraulic risk assessment and management procedures requiring a reliable simulation of numerous flood scenarios.

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References

  • Aricò C, Sinagra M, Begnudelli L, Tucciarelli T (2011) MAST-2D diffusive model for flood prediction on domains with triangular Delaunay unstructured meshes. Adv Water Res 34:1427–1449

    Article  Google Scholar 

  • Bascià A, Tucciarelli T (2004) An explicit unconditionally stable numerical solution of the advection problem in irrotational flow fields. Water Resour Res 40(6):W06501

    Article  Google Scholar 

  • Bates PD, De Roo APJ (2000) A simple raster-based model for flood inundation simulation. J Hydrol 236:54–77

    Article  Google Scholar 

  • Chow VT (1959) Open-channel hydraulics, Mcgraw-Hill College

  • Correia FN, Fordham M, da Grača Saraiva M, Bernardo F (1998) Flood hazard assessment and management: interface with the public. Water Resour Manag 12:209–227

    Article  Google Scholar 

  • Costa C, da Silva PA, Correia FN (2004) Multicriteria evaluation of flood control measures: the case of Ribeira do Livramento. Water Resour Manag 18:263–283

    Article  Google Scholar 

  • CRED (2009) Disaster data: a balanced perspective, CRED Crunch, Centre for Research on the Epidemiology of Disasters (CRED), Issue no. 17, Brussels

  • Cunge J, Holly FM, Verwey A (1980) Practical aspects of computational river Hydraulics, Advanced Publishing Program. In Pitman (ed) London

  • Dawson R, Hall J, Sayers P, Bates P, Rosu C (2005) Sampling-based flood risk analysis for fluvial dike systems. Stoch Env Res Risk A 19:388–402

    Article  Google Scholar 

  • Directive 2007/60/EC (2007) On the assessment and management of flood risk. Off J Eur Union L 288:27–34

    Google Scholar 

  • Dottori F, Todini E (2010) A 2D flood inundation model based on cellular automata approach, Proc. XVIII International Conference on Water Resources. In Carrera J (ed) Barcellona

  • Dottori F, Todini E (2011) Developments of a flood inundation model based on the cellular automata approach: testing different methods to improve model performance. Phys Chem Earth 36:266–280

    Article  Google Scholar 

  • EDF-DRD (2002) TELEMAC-2D software, version 5.2 user manual

  • DHI Water & Environment (2007) Hydrodynamic module user guide

  • European Environmental Agency (2005) Cambiamento climatico ed alluvioni in Europa, EEA Briefing No 1/2005

  • European Environmental Agency (2010) Mapping the impacts of natural hazards and technological accidents in Europe—An overview of the last decade, EEA Technical report No 13/2010

  • Gouldby B, Sayers P, Mulet-Marti J, Hassan MAAM, Benwell D (2008) A methodology for regional-scale flood risk assessment. Proc I Civil Eng Water Manag 161(WM3):169–182

    Article  Google Scholar 

  • Harvey H, Hall JW, Peppè R (2009) Outline of a framework for systematic decision analysis in flood risk management, Proc. 18th World IMACS/MODSIM Congress, Cairns

  • Harvey H, Hall J, Peppè R (2012) Computational decision analysis for flood risk management in an uncertain future. J Hydroinform 14:537–561

    Article  Google Scholar 

  • Horrit MS, Bates PD (2002) Evaluation of 1D and 2D numerical models for predicting river flood inundations. J Hydrol 268:87–99

    Article  Google Scholar 

  • Kundzewicz ZW, Hirabayashi Y, Kanae S (2010) River floods in the changing climate-observations and projections. Water Resour Manag 24:2633–2646

    Article  Google Scholar 

  • Lhomme J, Sayers P, Gouldby B, Samuels P, Wills M (2009) Recent development and application of a rapid flood spreading method, flood risk management: research and practice. Taylor & Francis Group, London, pp 15–24

    Google Scholar 

  • Moussa R, Boucquillon C (2009) On the use of the diffusive wave for modeling extreme flood events with overbank flow in the floodplain. J Hydrol 374:116–135

    Article  Google Scholar 

  • O’Brien J (2007) FLO-2D user manual version 2007.06.

  • Voortman HG, van Gelder PHAJM, Vrijling JK (2003) Risk-based desing of large-scale flood defence systems, Proc. 28th International Conference Costal Engineering. In Smith M (ed) Cardiff

  • WL | Delft Hydraulics (2005) ‘SOBEK River/Estuary user manual

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Correspondence to Marco Franchini.

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Bernini, A., Franchini, M. A Rapid Model for Delimiting Flooded Areas. Water Resour Manage 27, 3825–3846 (2013). https://doi.org/10.1007/s11269-013-0383-3

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  • DOI: https://doi.org/10.1007/s11269-013-0383-3

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