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Appropriate model use for predicting elevations and inundation extent for extreme flood events

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  • Davor Kvočka
  • Roger Falconer
  • Michaela Bray

Abstract

Flood risk assessment is generally studied using flood simulation models; however, flood risk managers often simplify the computational process; this is called a “simplification strategy”. This study investigates the appropriateness of the “simplification strategy” when used as a flood risk assessment tool for areas prone to flash flooding. The 2004 Boscastle, UK, flash flood was selected as a case study. Three different model structures were considered in this study, including: (1) a shock-capturing model, (2) a regular ADI-type flood model and (3) a diffusion wave model, i.e. a zero-inertia approach. The key findings from this paper strongly suggest that applying the “simplification strategy” is only appropriate for flood simulations with a mild slope and over relatively smooth terrains, whereas in areas susceptible to flash flooding (i.e. steep catchments), following this strategy can lead to significantly erroneous predictions of the main parameters—particularly the peak water levels and the inundation extent. For flood risk assessment of urban areas, where the emergence of flash flooding is possible, it is shown to be necessary to incorporate shock-capturing algorithms in the solution procedure, since these algorithms prevent the formation of spurious oscillations and provide a more realistic simulation of the flood levels. Copyright The Author(s) 2015

Suggested Citation

  • Davor Kvočka & Roger Falconer & Michaela Bray, 2015. "Appropriate model use for predicting elevations and inundation extent for extreme flood events," 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. 79(3), pages 1791-1808, December.
  • Handle: RePEc:spr:nathaz:v:79:y:2015:i:3:p:1791-1808
    DOI: 10.1007/s11069-015-1926-0
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    1. Pardeep Pall & Tolu Aina & Dáithí A. Stone & Peter A. Stott & Toru Nozawa & Arno G. J. Hilberts & Dag Lohmann & Myles R. Allen, 2011. "Anthropogenic greenhouse gas contribution to flood risk in England and Wales in autumn 2000," Nature, Nature, vol. 470(7334), pages 382-385, February.
    2. Ahmadian, Reza & Falconer, Roger A., 2012. "Assessment of array shape of tidal stream turbines on hydro-environmental impacts and power output," Renewable Energy, Elsevier, vol. 44(C), pages 318-327.
    3. Ahmadian, Reza & Falconer, Roger & Bockelmann-Evans, Bettina, 2012. "Far-field modelling of the hydro-environmental impact of tidal stream turbines," Renewable Energy, Elsevier, vol. 38(1), pages 107-116.
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    Cited by:

    1. Davor Kvočka & Roger A. Falconer & Michaela Bray, 2016. "Flood hazard assessment for extreme flood events," 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. 84(3), pages 1569-1599, December.
    2. Lilia Flores Mateos & Michael Hartnett, 2020. "Hydrodynamic Effects of Tidal-Stream Power Extraction for Varying Turbine Operating Conditions," Energies, MDPI, vol. 13(12), pages 1-23, June.
    3. P. V. Timbadiya & K. M. Krishnamraju, 2023. "A 2D hydrodynamic model for river flood prediction in a coastal floodplain," 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. 115(2), pages 1143-1165, January.
    4. Peng Gao & Wei Gao & Nan Ke, 2021. "Assessing the impact of flood inundation dynamics on an urban environment," 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. 109(1), pages 1047-1072, October.
    5. Hadi Norouzi & Jalal Bazargan, 2022. "Calculation of Water Depth during Flood in Rivers using Linear Muskingum Method and Particle Swarm Optimization (PSO) Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(11), pages 4343-4361, September.
    6. Dhruvesh P. Patel & Jorge A. Ramirez & Prashant K. Srivastava & Michaela Bray & Dawei Han, 2017. "Assessment of flood inundation mapping of Surat city by coupled 1D/2D hydrodynamic modeling: a case application of the new HEC-RAS 5," 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. 89(1), pages 93-130, October.
    7. Davor Kvočka & Reza Ahmadian & Roger A Falconer, 2018. "Predicting Flood Hazard Indices in Torrential or Flashy River Basins and Catchments," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(7), pages 2335-2352, May.
    8. Lilia Flores Mateos & Michael Hartnett, 2019. "Incorporation of a Non-Constant Thrust Force Coefficient to Assess Tidal-Stream Energy," Energies, MDPI, vol. 12(21), pages 1-17, October.
    9. Giovanni Musolino & Reza Ahmadian & Junqiang Xia, 2022. "Enhancing pedestrian evacuation routes during flood events," 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. 112(3), pages 1941-1965, July.

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