Journal of Advanced Informatics in Water, Soil, and Structure

Journal of Advanced Informatics in Water, Soil, and Structure

A Framework for Hydraulic Simulation and Risk Analysis of Embankment Dam Break

Document Type : Research Article

Authors
1 Department of Civil Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.
2 Regional Water Authority of Khorasan Razavi, Mashhad, Iran.
3 Department of Civil Engineering, Faculty of Engineering Science, Quchan University of Technology, Quchan, Iran.
4 Department of Civil Engineering, Shams Institute, Gonbad, Iran.
Abstract
Dams play a key role in supplying water demands, recharging aquifers, and controlling floods, and it is important to accurately study dam break as it could release a huge amount of water and impose catastrophic downstream losses and casualties. An advanced simulation of dam break allows for informing managers of possible losses and casualties to make efficient decisions and effectively manage the crisis. This study presents hydraulics analyzes of the dam break of Tabarakabad and Chahchaheh embankment Dams in Razavi Khorasan Province, Iran. The dam break parameters, flood routing, depth mapping, velocity mapping, primary flood arrival time, and submergible zones were studied for three dam break scenarios, including overtopping, piping, and instantaneous break (sabotage). Numerical analyses were performed in Mathematica environment. The combination of the numerical results and the BREACH model allow for identifying the worst gradual dam break situation through an iterative process and performing unsteady flow analysis in HEC-RAS. Furthermore, the computer code would allow for implementing analyses to determine the most important dam output hydrograph using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). In addition, flood maps under different scenarios were compared between minimum roughness and maximum roughness, discussing the hydraulic results. For risk analysis, a descriptive-analytical (quantitative-qualitative) method was proposed, and a questionnaire was designed. The proposed methodology, which was consistent with passive defense approaches, was implemented with the help of relevant experts and practitioners to assess,  and analyze the dam risks through the developed computer code. Finally, the dam break parameters, flood routing under the aforementioned scenarios, flood mapping, and a draft of the necessary measures were provided. It was found that Tabarakabad Dam had a larger degree of risk than Chahchaheh Dam, and its break would impose serious damage to the adjacent villages and the city of Quchan. However, the efficient operation of Chahchaheh Dam could strongly contribute to stabilization and avoiding break floods. The arrival time of dam-break flood wave to Quchan city was calculated 1 h and 30 min to 2 h, while the arrival time of dam-break flood wave to Chahchaheh Village was calculated 45-60 min after gradual break signs
Keywords

Subjects


  1. Abdulrahman, K. Z. (2022). Peak discharge from breached embankment dams, analysis, and prediction. Arabian Journal of Geosciences, 15(10), 1-10.
  2. Akan, A. O. (2011). Open channel hydraulics/AA Osman.
  3. Akbari, G. H., & Barati, R. (2012, April). Comprehensive analysis of flooding in unmanaged catchments. In Proceedings of the Institution of Civil Engineers-Water Management (Vol. 165, No. 4, pp. 229-238). Thomas Telford Ltd.
  4. Akbari, G. H., Nezhad, A. H., & Barati, R. (2012). Developing a model for analysis of uncertainties in prediction of floods. Journal of Advanced Research, 3(1), 73-79.
  5. Al-Fugara, A. K., Mabdeh, A. N., Alayyash, S., & Khasawneh, A. (2023). Hydrological and Hydrodynamic Modeling for Flash Flood and Embankment Dam Break Scenario: Hazard Mapping of Extreme Storm Events. Sustainability, 15(3), 1758.
  6. Amini, A., Ali, T. M., Ghazali, A. H., & Huat, B. K. (2009). Adjustment of peak streamflows of a tropical river for urbanization. American Journal of Environmental Sciences5(3), 285.
  7. Amini, A., Bahrami, J., & Miraki, A. (2022). Effects of dam break on downstream dam and lands using GIS and Hec Ras: a decision basis for the safe operation of two successive dams. International Journal of River Basin Management20(4), 487-498.
  8. Atashi, V., Barati, R., & Lim, Y. H. (2023). Distributed Muskingum model with a Whale Optimization Algorithm for river flood routing. Journal of Hydroinformatics25(6), 2210-2222.
  9. Atashi, V., Barati, R., & Lim, Y. H. (2023). Improved river flood routing with spatially variable exponent Muskingum model and sine cosine optimization algorithm. Environmental Processes10(3), 42.
  10. Atashi, V., Barati, R., & Lim, Y. H. (2023c). Development of a distributed nonlinear Muskingum model by considering snowmelt effects for flood routing in the Red River. Scientific Reports, 13(1), 21356.
  11. Badfar, M., Barati, R., Dogan, E., & Tayfur, G. (2021). Reverse flood routing in rivers using linear and nonlinear Muskingum models. Journal of Hydrologic Engineering26(6), 04021018.
  12. Barati, R. (2011). Parameter estimation of nonlinear Muskingum models using Nelder-Mead simplex algorithm. Journal of Hydrologic Engineering, 16(11), 946-954.
  13. Barati, R. (2013). Application of excel solver for parameter estimation of the nonlinear Muskingum models. KSCE Journal of Civil Engineering, 17, 1139-1148.
  14. Barati, R., Akbari, G. H., & Rahimi, S. (2013). Flood routing of an unmanaged river basin using Muskingum–Cunge model; field application and numerical experiments. Caspian Journal of Applied Sciences Research2(6), 8-20.
  15. Barati, R., Rahimi, S. and Akbari, G.H. 2012. Analysis of dynamic wave model for flood routing in natural rivers. Water Science and Engineering, 5(3): 243-258.
  16. Chang, T. J., Kao, H. M., Chang, K. H., & Hsu, M. H. (2011). Numerical simulation of shallow-water dam break flows in open channels using smoothed particle hydrodynamics. Journal of Hydrology, 408(1-2), 78-90.
  17. de Paiva, C. A., da Fonseca Santiago, A., & do Prado Filho, J. F. (2020). Content analysis of dam break studies for tailings dams with high damage potential in the Quadrilátero Ferrífero, Minas Gerais: technical weaknesses and proposals for improvements. Natural Hazards104, 1141-1156.
  18. El Bilali, A., Moukhliss, M., Taleb, A., Nafii, A., Alabjah, B., Brouziyne, Y., ... & Mhamed, M. (2022). Predicting daily pore water pressure in embankment dam: Empowering Machine Learning-based modeling. Environmental Science and Pollution Research, 29(31), 47382-47398.
  19. Fread, D. L. (1980). DAMBRK: The NWS dam-break flood forecasting model. Hydrologic Research Laboratory, National Weather Service, NOAA.
  20. Fread, D. L. (1988). BREACH, an erosion model for earthen dam failures (Vol. 855). MD, United States: Hydrologic Research Laboratory, National Weather Service, NOAA.
  21. Ghandehary, A., & Barati, R. (2018). River flow modeling by the application of remote sensing and fuzzy regression. Progress in River Engineering and Hydraulic Structures, International Energy and Environment Foundation Publisher, Najaf, Iraq, 129-150.
  22. Haile, T., Goitom, H., Degu, A. M., Grum, B., & Abebe, B. A. (2024). Simulation of urban environment flood inundation from potential dam break: case of Midimar Embankment Dam, Tigray, Northern Ethiopia. Sustainable Water Resources Management, 10(2), 1-26.
  23. Heidari, S. M., & Heidari, S. J. (2022). Emergency Action Plan for Flash Flood Due to Dambreak-Case study: Shahrchai Dam, Urmia (Iran). Authorea Preprints.
  24. Hu, L., Yang, X., Li, Q., & Li, S. (2020). Numerical simulation and risk assessment of cascade reservoir dam-break. Water, 12(6), 1730.
  25. Khosravi, K., Sheikh Khozani, Z., & Hatamiafkoueieh, J. (2023). Prediction of embankments dam break peak outflow: a comparison between empirical equations and ensemble-based machine learning algorithms. Natural Hazards, 118(3), 1989-2018.
  26. Kostecki, S., & Banasiak, R. (2020). The catastrophe of the Niedów dam–the dam break causes, development and consequences. Natural Hazards and Earth System Sciences Discussions2020, 1-24.
  27. Maharjan, M., & Takahashi, A. (2014). Liquefaction-induced deformation of earthen embankments on non-homogeneous soil deposits under sequential ground motions. Soil Dynamics and Earthquake Engineering, 66, 113-124.
  28. Kouzehgar, K., Hassanzadeh, Y., Eslamian, S., Fard, M. Y., & Amini, A. B. (2021). Experimental investigations and soft computations for predicting the erosion mechanisms and peak outflow discharge caused by embankment dam breach. Arabian Journal of Geosciences, 14(7), 1-18.
  29. Liu, W., Wang, B., & Guo, Y. (2021). Numerical study of the dam-break waves and Favre waves down sloped wet rigid-bed at laboratory scale. Journal of Hydrology, 602, 126752.
  30. Rashid, R. M., & Chaudhry, M. H. (1995). Flood routing in channels with flood plains. Journal of Hydrology, 171(1-2), 75-91.
  31. Sammen, S. S., Mohamed, T. A., Ghazali, A. H., Sidek, L. M., & El-Shafie, A. (2017). An evaluation of existent methods for estimation of embankment dam breach parameters. Natural Hazards, 87(1), 545-566.
  32. Smith, G. P., Davey, E. K., & Cox, R. (2014). Flood Hazard WRL Technical Report 2014/07. Sydney: UNSW.
  33. Urzică, A., Mihu-Pintilie, A., Stoleriu, C. C., Cîmpianu, C. I., Huţanu, E., Pricop, C. I., & Grozavu, A. (2020). Using 2D HEC-RAS modeling and embankment dam break scenario for assessing the flood control capacity of a multi-reservoir system (NE Romania). Water, 13(1), 57.
  34. Wahl, T. L. (2004). Uncertainty of predictions of embankment dam breach parameters. Journal of Hydraulic Engineering, 130(5), 389-397.
  35. Wang, B., Chen, Y., Wu, C., Peng, Y., Song, J., Liu, W., & Liu, X. (2018). Empirical and semi-analytical models for predicting peak outflows caused by embankment dam failures. Journal of Hydrology, 562, 692-702.
  36. Yang, M., Cai, Q., Li, Z., & Yang, J. (2023). Uncertainty analysis on flood routing of embankment dam breach due to overtopping failure. Scientific Reports, 13(1), 20151.
  37. Zhang, L. M., Xu, Y., & Jia, J. S. (2009). Analysis of earth dam failures: A database approach. Georisk3(3), 184-189.
Volume 1, Issue 1 - Serial Number 1
January 2025
Pages 15-33

  • Receive Date 28 November 2023
  • Revise Date 15 February 2024
  • Accept Date 06 March 2024
  • First Publish Date 30 December 2024
  • Publish Date 01 January 2025