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Predicting Flood Hazard Indices in Torrential or Flashy River Basins and Catchments

Author

Listed:
  • Davor Kvočka

    (Cardiff University)

  • Reza Ahmadian

    (Cardiff University)

  • Roger A Falconer

    (Cardiff University)

Abstract

Flood hazard maps are one of the main components of any flood risk management strategy. It is predicted that the degree of flood risk is going to significantly increase in the future due to climatic and environmental changes, and hence it is increasingly important that state-of-the-art methods are implemented for assessing human stability in floodwaters. Therefore, this paper focuses on proposing more accurate and detailed guidelines for predicting flood hazard indices in small and steep river basins or catchments, prone to the occurrence of flash flooding. The results obtained in this study indicate that for river basins with an average bed gradient greater than 1% (i.e. torrential or flashy river basins or catchments), then the flood hazard indices should be predicted using criteria which are based on the physical interpretation of the processes that affect the human stability in floodwaters, i.e. mechanics based and experimentally calibrated flood hazard assessment methods.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:waterr:v:32:y:2018:i:7:d:10.1007_s11269-018-1932-6
    DOI: 10.1007/s11269-018-1932-6
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    References listed on IDEAS

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    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. 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.
    3. James Porter & David Demeritt, 2012. "Flood-Risk Management, Mapping, and Planning: The Institutional Politics of Decision Support in England," Environment and Planning A, , vol. 44(10), pages 2359-2378, October.
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    Cited by:

    1. 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.
    2. 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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