Hybrid method to update the design flood shape for spillway operation in a dam: case study of the Huites Dam, Mexico

References

• Aparicio Mijares, F.J., 2012. Fundamentos de Hidrología de Superficie (Surface hydrology fundamentals, in Spanish). México, D.F: Limusa, 303.
   Google Scholar
• Arganis, J.M.L., Herrera, A.J.L., and Domínguez, M.R., 2013. Determinación de eventos de diseño de funciones bivariadas usando el método de la bisección (Determination of design events of bivariate functions using the bisection method, in Spanish). Ingeniare, 21 (2), 293–300. doi:10.4067/S0718-33052013000200012
   Google Scholar
• Arganis Juárez, M.L., De Luna Cruz, F., and Preciado Jiménez, M., 2017. Método híbrido para construir hidrogramas de diseño con datos de caudal de pico y volumen (Hybrid method to build design hydrograms with peak and volume flow data, in Spanish). Memorias de las V Jornadas de Ingeniería del Agua JIA, 25 Y 26 de octubre, La Coruña, España, 1–11.
   Google Scholar
• Arganis Juárez, M.L. and Preciado Jiménez, M., 2017. Determinación de la avenida de diseño de la cuenca total de Aguamilpa con análisis bivariado e hidrogramas normalizados (Determination of the design flood of the total basin of Aguamilpa with bivariate analysis and standardized hydrographs, in Spanish). Memorias del XXIV Congreso Nacional de Hidráulica, AMH, Acapulco, Gro, México, 1–6.
   Google Scholar
• Bianucci, P., et al., 2013. Risk-based methodology for parameter calibration of a reservoir flood control model. Natural Hazards and Earth System Sciences, 13 (4), 965–981. doi:10.5194/nhess-13-965-2013
   Web of Science ®Google Scholar
• Candela, A., Brigandì, G., and Aronica, G.T., 2014. Estimation of synthetic flood design hydrographs using a distributed rainfall–runoff model coupled with a copula-based single storm rainfall generator. Natural Hazards and Earth System Sciences, 14, 1819–1833. doi:10.5194/nhess-14-1819-2014
   Web of Science ®Google Scholar
• Cavalcanti, D.L.O. and Reis, L.F.R., 2017. Maximum design flow estimates for large basins using the Local Frequency Analysis (LFA) and the Most Probable Maximum Hydrograph (MPMH) methods – a critical analysis. Water Resources Management, 31, 127–141. doi:10.1007/s11269-016-1514-4
   Web of Science ®Google Scholar
• CEMARCOSIN,2017. Available from: http://laipsinaloa.gob.mx/images/stories/CEMARCOSIN/EMBALSES%20FINAL(1).pdf [Accessed 22 April 2019].
   Google Scholar
• Chow, V.T., Maidment, D.R., and Mays, L.W., 1988. Applied hydrology. New York: McGraw-Hill.
   Google Scholar
• Domínguez, M.R., et al., 2015. Manual de Diseño de Obras Civiles. Cap. A.1.8 Sección A. Hidrotecnia Tema 1: hidrología. México: Comisión Federal de Electricidad.
   Google Scholar
• Domínguez, M.R. and Arganis, J.M.L., 2012. Validation of methods to estimate design discharge flow rates for dam spillways with large regulating capacity. Hydrological Sciences Journal, 57 (3), 460–478. doi:10.1080/02626667.2012.665993
   Web of Science ®Google Scholar
• Domínguez, M.R., et al., 2009. Calculation of Bivariate Double Gumbel probability density function via a Genetic Algorithm: application to Huites dam basin. Journal of Flood Engineering (JFE), 1 (1), 293–300. Available from: http://serialsjournals.com/articles.php?volumesno_id=1171&journals_id=281&volumes_id=1069
   Google Scholar
• Dueñas, P.D., 2017. Estimación de avenidas de diseño para la presa Infiernillo, a partir de métodos estadísticos y espectrales (Estimation of design floods for the Infiernillo dam, based on statistical and spectral methods, in Spanish). Papiit Project. Master‘s Thesis. Posgrado en Ingeniería, Facultad de Ingeniería, UNAM., México.
   Google Scholar
• Fuentes, M.O., et al., 2015a. Maximización de la función de verosimilitud de distribuciones de probabilidad usando algoritmos genéticos (Maximization of the probability distributions likelihood using genetic algorithms, in Spanish). Revista Ingeniería del Agua, Universidad Politécnica de Valencia, 19 (1), 17–29. doi:10.4995/ia.2015.3225
   Google Scholar
• Fuentes, M.O.A., et al., 2015. B. Estimate of design hydrographs for the Angostura dam, Sonora, using statistical and spectral methods. Water Resources Management, 29, 4021–4043. doi:10.1007/s11269-015-1043-6
   Web of Science ®Google Scholar
• Gabriel-Martin, I., et al., 2017. Influence of initial reservoir level and gate failure in dam safety analysis. Stochastic approach. Journal of Hydrology, 550, 669–684. doi:10.1016/j.jhydrol.2017.05.032
   Web of Science ®Google Scholar
• Genest, C. and Favre, A.C., 2007. Everything you always wanted to know about copula modeling but were afraid to ask. Journal of Hydrologic Engineering, 12 (4), 347–368. doi:10.1061/(ASCE)1084-0699(2007)12:4(347)
   Web of Science ®Google Scholar
• Goldberg, D.E., 1989. Genetic algorithms in search, optimization & machine learning. Boston, MA: Addison-Wesley Longman Publishing Co.
   Google Scholar
• Hassini, S. and Guo, Y., 2017. Derived flood frequency distributions considering individual event hydrograph shapes. Journal of Hydrology, 547, 296–308. doi:10.1016/j.jhydrol.2017.02.003
   Web of Science ®Google Scholar
• Hiemstra, L.A.V. and Francis, D.M., 1979. The run hydrograph. In: Theory and application for flood predictions. Pretoria, South Africa: Water Research Commission, 63.
   Google Scholar
• Holland, J.H., 1975. Adaptation in natural and artificial systems. Ann Arbor, MI: University of Michigan Press.
   Google Scholar
• Jiménez, E.M., 1996. Programa AX. Área de riesgos hidrometeorológicos (AX program. Area of hydrometeorological risks, in Spanish). México: Centro 14, Centro Nacional de Prevención de Desastres.
   Google Scholar
• Jiménez, E.M., 2000. Diseño Integral de Vertedores (Integral design of spillways, in Spanish). Master‘s Thesis. División de Estudios de Posgrado, Facultad de Ingeniería, UNAM., México.
   Google Scholar
• Mediero, L., Jiménez, A., and Garrote, L., 2010. Design flood hydrographs from the relationship between flood peak and volume. International Workshop on Advances in Statistical Hydrology, May 23–25, Taormina, Italy. 1–10. Available from: http://www.risorseidriche.dica.unict.it/Sito_STAHY2010_web/pdf_papers/MedieroL_GarroteL_Jim%E9nezA.pdf [Accessed 23 January 2018]
   Google Scholar
• Michailidi, E.M. and Bacchi, B., 2017. Dealing with uncertainty in the probability of overtopping of a flood mitigation dam. Hydrology and Earth System Sciences, 21 (5), 2497–2507. doi:10.5194/hess-21-2497-2017
   Web of Science ®Google Scholar
• Preciado, J.M., et al., 2010. Análisis entre escurrimientos y sedimentos históricos en la cuenca del río Apatlaco, mor (Analysis between historical runoff and sediments in the Apatlaco river basin, mor, in Spanish). Revista Aqua-Lac UNESCO-PHI. 2, 39–44. Available from: http://unesdoc.unesco.org/images/0021/002115/211564m.pdf
   Google Scholar
• Ramírez, A.I. and Aldama, A.A., 2000. Análisis de frecuencias conjunto para la estimación de avenidas de diseño (Joint frequency analysis for estimating design floods, in Spanish). Morelos, México: AMH, IMTA.
   Google Scholar
• Requena, A.I., Mediero, L., and Garrote, L., 2013. A bivariate return period based on copulas for hydrologic dam design: accounting for reservoir routing in risk estimation. Hydrology and Earth System Sciences, 17, 3023–3038. doi:10.5194/hess-17-3023-2013
   Web of Science ®Google Scholar
• Salvadori, G., et al., 2007. Extremes in nature: an approach using copulas. Vol. 56. Berlin: Springer Science & Business Media.
   Google Scholar
• Salvadori, G., et al., 2016. A multivariate copula-based framework for dealing with hazard scenarios and failure probabilities. Water Resources Research, 52 (5), 3701–3721. doi:10.1002/2015WR017225
   Web of Science ®Google Scholar
• Schumann, A., 2017. Flood safety versus remaining risks-options and limitations of probabilistic concepts in flood management. Water Resources Management, 31 (10), 3131–3145. doi:10.1007/s11269-017-1700-z
   Web of Science ®Google Scholar
• Serinaldi, F., 2013. An uncertain journey around the tails of multivariate hydrological distributions. Water Resources Research, 49 (10), 6527–6547. doi:10.1002/wrcr.20531
   Web of Science ®Google Scholar
• Serinaldi, F., 2015. Dismissing return periods! Stochastic Environmental Research and Risk Assessment, 29 (4), 1179–1189. doi:10.1007/s00477-014-0916-1
   Web of Science ®Google Scholar
• Serinaldi, F. and Grimaldi, S., 2011. Synthetic design hydrographs based on distribution functions with finite support. Journal of Hydrologic Engineering, ASCE, 16 (5), 434–446. doi:10.1061/(ASCE)HE.1943-5584.0000339
   Google Scholar
• Sordo-Ward, A., et al., 2017. A parametric flood control method for dams with gate-controlled spillways. Water, 9 (4), 237. doi:10.3390/w9040237
   Web of Science ®Google Scholar
• Sui, S., 2005. Estimation of design flood hydrograph for an ungauged watershed. Water Resources Management, 19, 813–830. doi:10.1007/s11269-005-6812-1
   Web of Science ®Google Scholar
• Tomirotti, M. and Mignosa, P.A., 2017. Methodology to derive synthetic design hydrographs for river flood management. Journal of Hydrology, 555, 736–743. doi:10.1016/j.jhydrol.2017.10.036
   Web of Science ®Google Scholar
• Vázquez, C.M.T., 1995. Procedimiento sistemático para el cálculo de la avenida de diseño en presas con gran capacidad de regulación (Systematic procedure for the calculation of the design flood in dams with great regulation capacity, In Spanish). Master‘s Thesis, DEPFI. UNAM.
   Google Scholar
• Volpi, E. and Fiori, A., 2012. Design event selection in bivariate hydrological frequency analysis. Hydrological Sciences Journal, 57 (8), 1506–1515. doi:10.1080/02626667.2012.726357
   Web of Science ®Google Scholar
• Volpi, E. and Fiori, A., 2014. Hydraulic structures subject to bivariate hydrological loads: return period, design, and risk assessment. Water Resources Research, 50 (2), 885–897. doi:10.1002/2013WR014214
   Web of Science ®Google Scholar
• Yin, J.B., et al., 2018. Uncertainty analysis of bivariate design flood estimation and its impacts on reservoir routing. Water Resources Management, 32 (5), 1795–1809. doi:10.1007/s11269-018-1904-x
   Web of Science ®Google Scholar