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Dam- Breach Hydrograph Modelling: An Innovative Semi- Analytical Approach

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  • George Tsakiris
  • Mike Spiliotis

Abstract

The delineation of the areas exposed to flood hazard caused by a dam existence upstream and its possible failure needs a thorough analysis of the hypothetical dam break incident. The study presented in this paper focusses on the simulation of the dam breach formation and the calculation of the resulting outflow hydrograph using a semi- analytical approach. More specifically the method presented addresses the dam break incident of an embankment dam caused by overtopping. The analysis is based on the assumptions of constant vertical erosion rate for the formation of the breach and the parabolic shape of the breach. Two solutions are presented dependent on whether the capacity of the reservoir is considered prismatic or it is a power function of the water depth in the reservoir. Finally the proposed method is illustrated through the analysis of a hypothetical dam break incident. Copyright Springer Science+Business Media B.V. 2013

Suggested Citation

  • George Tsakiris & Mike Spiliotis, 2013. "Dam- Breach Hydrograph Modelling: An Innovative Semi- Analytical Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(6), pages 1751-1762, April.
    • Handle: RePEc:spr:waterr:v:27:y:2013:i:6:p:1751-1762
    DOI: 10.1007/s11269-012-0046-9
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    References listed on IDEAS

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    1. Bos, Marinus G., 1977. "The use of long-throated flumes to measure flows in irrigation and drainage canals," Agricultural Water Management, Elsevier, vol. 1(2), pages 111-126, September.
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    Cited by:

    1. Francesco Macchione & Gianluca De Lorenzo & Pierfranco Costabile & Babak Razdar, 2016. "The Power Function for Representing the Reservoir Rating Curve: Morphological Meaning and Suitability for Dam Breach Modelling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(13), pages 4861-4881, October.
    2. Vasilis Bellos & George Tsakiris, 2015. "Comparing Various Methods of Building Representation for 2D Flood Modelling In Built-Up Areas," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(2), pages 379-397, January.
    3. Ismail Haltas & Gokmen Tayfur & Sebnem Elci, 2016. "Two-dimensional numerical modeling of flood wave propagation in an urban area due to Ürkmez dam-break, İzmir, Turkey," 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. 81(3), pages 2103-2119, April.
    4. Alireza Khoshkonesh & Seyed Hossein Sadeghi & Saeed Gohari & Somayyeh Karimpour & Shahin Oodi & Silvia Francesco, 2023. "Study of Dam-Break Flow Over a Vegetated Channel With and Without a Drop," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(5), pages 2107-2123, March.
    5. Alireza Khoshkonesh & Blaise Nsom & Farhad Bahmanpouri & Fariba Ahmadi Dehrashid & Atefeh Adeli, 2021. "Numerical Study of the Dynamics and Structure of a Partial Dam-Break Flow Using the VOF Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(5), pages 1513-1528, March.
    6. Alibek Issakhov & Yeldos Zhandaulet, 2020. "Numerical Study of Dam Break Waves on Movable Beds for Complex Terrain by Volume of Fluid Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(2), pages 463-480, January.
    7. Saad SH. Sammen & T. A. Mohamed & A. H. Ghazali & A. H. El-Shafie & L. M. Sidek, 2017. "Generalized Regression Neural Network for Prediction of Peak Outflow from Dam Breach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(1), pages 549-562, January.

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