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Introducing a probabilistic framework to measure dam overtopping risk for dams benefiting from dual spillways

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  • Rajabzadeh, Vida
  • Hekmatzadeh, Ali Akbar
  • Tabatabaie Shourijeh, Piltan
  • Torabi Haghighi, Ali

Abstract

Assessing the overtopping risk has become a necessity in face of ever-changing, extreme weather conditions. This study proposed a novel probabilistic framework to evaluate the overtopping risk of a case embankment dam equipped with both gated Ogee spillway and erodible auxiliary spillway i.e., “fuse plug†. The reservoir routing equations have been adapted to account for the existence and subsequent destruction of the fuse plug. The characteristics of rainfall events and the catchment hydrological parameters were considered as random variables. Furthermore, an innovative random rainfall generator based on copula process was introduced to produce stochastic rain hyetographs. Considering the reservoir at Ogee crest level and normal water level, the probabilities of overtopping from the fuse plug were 9.2% and 10.6% in case of a 1000-year-daily rainfall, respectively. For these normal water levels, the probabilities of overtopping from dam crest are 0.52% and 0.55%, indicating an approximately identical risk. In addition, the uncertainty in the ratio of rain event to daily rain event, curve number, rainfall depth, and concentration time (in sequence) result in significant variations of reservoir water level. The variability in rainfall hyetograph influences the reservoir water height insignificantly. Regarding reservoir routing, the fuse plug destruction, significantly decreases the attenuation of peak discharge.

Suggested Citation

  • Rajabzadeh, Vida & Hekmatzadeh, Ali Akbar & Tabatabaie Shourijeh, Piltan & Torabi Haghighi, Ali, 2023. "Introducing a probabilistic framework to measure dam overtopping risk for dams benefiting from dual spillways," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    • Handle: RePEc:eee:reensy:v:231:y:2023:i:c:s0951832022006457
    DOI: 10.1016/j.ress.2022.109030
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    1. Fluixá-Sanmartín, Javier & Escuder-Bueno, Ignacio & Morales-Torres, Adrián & Castillo-Rodríguez, Jesica Tamara, 2020. "Comprehensive decision-making approach for managing time dependent dam risks," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    2. A. Sharafati & H. M. Azamathulla, 2018. "Assessment of Dam Overtopping Reliability using SUFI Based Overtopping Threshold Curve," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(7), pages 2369-2383, May.
    3. Jongejan, R.B. & Diermanse, F. & Kanning, W. & Bottema, M., 2020. "Reliability-based partial factors for flood defenses," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    4. Andreini, Marco & Gardoni, Paolo & Pagliara, Stefano & Sassu, Mauro, 2019. "Probabilistic models for the erosion rate in embankments and reliability analysis of earth dams," Reliability Engineering and System Safety, Elsevier, vol. 181(C), pages 142-155.
    5. Khalil Ardeshirtanha & Ahmad Sharafati, 2020. "Assessment of Water Supply Dam Failure Risk: Development of New Stochastic Failure Modes and Effects Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(5), pages 1827-1841, March.
    6. Dayang Wang & Dagang Wang & Chongxun Mo & Yi Du, 2021. "Risk variation of reservoir regulation during flood season based on bivariate statistical approach under climate change: a case study in the Chengbihe reservoir, China," 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. 108(2), pages 1585-1608, September.
    7. Rongen, G. & Morales-Nápoles, O. & Kok, M., 2022. "Expert judgment-based reliability analysis of the Dutch flood defense system," Reliability Engineering and System Safety, Elsevier, vol. 224(C).
    8. Chen, Hua-Peng & Mehrabani, Mehrdad Bahari, 2019. "Reliability analysis and optimum maintenance of coastal flood defences using probabilistic deterioration modelling," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 163-174.
    9. Pei, Liang & Chen, Chen & He, Kun & Lu, Xiang, 2022. "System reliability of a gravity dam-foundation system using Bayesian networks," Reliability Engineering and System Safety, Elsevier, vol. 218(PB).
    10. Qing Xiao & Shaowu Zhou, 2019. "Matching a correlation coefficient by a Gaussian copula," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 48(7), pages 1728-1747, April.
    11. Hathout, Michel & Vuillet, Marc & Carvajal, Claudio & Peyras, Laurent & Diab, Youssef, 2019. "Expert judgments calibration and combination for assessment of river levee failure probability," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 377-392.
    12. Hanea, Anca & Morales Napoles, Oswaldo & Ababei, Dan, 2015. "Non-parametric Bayesian networks: Improving theory and reviewing applications," Reliability Engineering and System Safety, Elsevier, vol. 144(C), pages 265-284.
    13. Olusola O. Ayantobo & Yi Li & Songbai Song, 2019. "Multivariate Drought Frequency Analysis using Four-Variate Symmetric and Asymmetric Archimedean Copula Functions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(1), pages 103-127, January.
    14. Delenne, C. & Cappelaere, B. & Guinot, V., 2012. "Uncertainty analysis of river flooding and dam failure risks using local sensitivity computations," Reliability Engineering and System Safety, Elsevier, vol. 107(C), pages 171-183.
    15. Gong, Yu & Liu, Pan & Zhang, Jun & Liu, Dedi & Zhang, Xiaoqi & Zhang, Xiaojing, 2020. "Considering different streamflow forecast horizons in the quantitative flood risk analysis for a multi-reservoir system," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
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