Validation of methods to estimate design discharge flow rates for dam spillways with large regulating capacity

M., R. Domínguez; J., M.L. Arganis

doi:10.1080/02626667.2012.665993

Cited by 7 publications

(4 citation statements)

References 8 publications

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“…In Danjiangkou reservoir, the peak discharge, 7day and 15-day volumes were always indicated as the control hydrological variables for deriving DFH. For different return periods (5,10,20,50,100,200, 500, and 1000 years), the peak discharge was estimated by marginal distribution firstly. The second step is to estimate 7-day volumes under the calculated peak discharge by bivariate CMLC method.…”

Section: Derivation Of Design Flood Hydrographmentioning

confidence: 99%

“…In their study, the dependence among peak discharge, volume, and duration was explored on a few flood events selected by a recursive digital filter algorithm and an over threshold approach. Domínguez and Arganis [10] introduced and used the IINGEN method to estimate the design floods for Malpaso Dam, and the method makes it possible for considering flood peak, volume, and shape simultaneously.Óscar et al [11] proposed a method to select the time base of the DFH using spectral analysis method and defined the number of days necessary for taking into account the complete dynamics of the hydrological floods.…”

Section: Introductionmentioning

confidence: 99%

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Deriving Design Flood Hydrograph Based on Conditional Distribution: A Case Study of Danjiangkou Reservoir in Hanjiang Basin

Yin

Guo

et al. 2016

Mathematical Problems in Engineering

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Design flood hydrograph (DFH) for a dam is the flood of suitable probability and magnitude adopted to ensure safety of the dam in accordance with appropriate design standards. Estimated quantiles of peak discharge and flood volumes are necessary for deriving the DFH, which are mutually correlated and need to be described by multivariate analysis methods. The joint probability distributions of peak discharge and flood volumes were established using copula functions. Then the general formulae of conditional most likely composition (CMLC) and conditional expectation composition (CEC) methods that consider the inherent relationship between flood peak and volumes were derived for estimating DFH. The Danjiangkou reservoir in Hanjiang basin was selected as a case study. The design values of flood volumes and 90% confidence intervals with different peak discharges were estimated by the proposed methods. The performance of CMLC and CEC methods was also compared with conventional flood frequency analysis, and the results show that CMLC method performs best for both bivariate and trivariate distributions which has the smallest relative error and root mean square error. The proposed CMLC method has strong statistical basis with unique design flood composition scheme and provides an alternative way for deriving DFH.

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Section: Derivation Of Design Flood Hydrographmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Deriving Design Flood Hydrograph Based on Conditional Distribution: A Case Study of Danjiangkou Reservoir in Hanjiang Basin

Yin

Guo

et al. 2016

Mathematical Problems in Engineering

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“…(Hiemstra and Francis 1979;Jiménez 2000;Domínguez et al 2012). There are several base flow separation methods such as those based on filtering (Welderufael and Woyessa 2010) but these methods don't necessary defines the duration of the time base of the design hydrograph.…”

Section: Introductionmentioning

confidence: 96%

Estimate of Design Hydrographs for the Angostura Dam, Sonora, Using Statistical and Spectral Methods

Fuentes-Mariles

Domínguez-Mora

Arganis-Juárez

et al. 2015

Water Resour Manage

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Large dams require not only the definition of peak flow but also description of the shape of the hydrograph because both aspects are considered in the design and operation of the spills. There are several methods to do this, but these are subjective and questionable, and rely on the time-base definition of the design hydrograph, and on the historical samples used for estimation. In this paper a new procedure is proposed to obtain the design hydrographs for this class of spills by means of daily mean inflow historical data, selecting the time base of the design hydrograph using spectral analysis of the historical floods and eliminating the subjectivity on its selection. Additionally, a procedure to give the shape of the flood is presented, that is different from the traditional procedure of alternating blocks or utilising Gamma or Hermitian Hydrographs because it is added a statistical analysis of the block to be alternated. Results were obtained using the different methods for a return period of 10,000 years, using the historical data of the Angostura dam at Sonora in Mexico. The design hydrograph obtained was compared with the Method of Institute of Engineering UNAM (IIUNAM) and a bivariate probabilistic method. Using the spectral method the time base of multi peak floods were obtained, similar to those which were recorded by the historical events.

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“…An underestimation of the design peak discharge could lead to overtop the dam due to insufficient drainage mechanisms [1,2]. Many of the approaches often adopted to define the design peak discharge for dams rely on historical discharge observations (e.g., [3][4][5][6]). However, due to the frequent lack of flow observations and thanks to the development of hydrometeorological models, the focus has moved on the estimation of the design storm, which is the one that gives rise to the design flood on the catchment [7].…”

Section: Introductionmentioning

confidence: 99%

On the Use of Satellite Rainfall Data to Design a Dam in an Ungauged Site

Bertini

Buonora

Ridolfi

et al. 2020

Water

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The estimation of the design peak discharge is crucial for the hydrological design of hydraulic structures. A commonly used approach is to estimate the design storm through the intensity–duration–area–frequency (IDAF) curves and then use it to generate the design discharge through a hydrological model. In ungauged areas, IDAF curves and design discharges are derived throughout regionalization studies, if any exist for the area of interest, or from using the hydrological information of the closest and most similar gauged place. However, many regions around the globe remain ungauged or are very poorly gauged. In this regard, a unique opportunity is provided by satellite precipitation products developed and improved in the last decades. In this paper, we show weaknesses and potentials of satellite data and, for the first time, we evaluate their applicability for design purposes. We employ CMORPH—Climate Prediction Center MORPHing technique satellite precipitation estimates to build IDAF curves and derive the design peak discharges for the Pietrarossa dam catchment in southern Italy. Results are compared with the corresponding one provided by a regionalization study, i.e., VAPI—VAlutazione delle Piene in Italia project, usually used in Italy in ungauged areas. Results show that CMORPH performed well for the estimation of low duration and small return periods storm events, while for high return period storms, further research is still needed.

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Validation of methods to estimate design discharge flow rates for dam spillways with large regulating capacity

Cited by 7 publications

References 8 publications

Deriving Design Flood Hydrograph Based on Conditional Distribution: A Case Study of Danjiangkou Reservoir in Hanjiang Basin

Deriving Design Flood Hydrograph Based on Conditional Distribution: A Case Study of Danjiangkou Reservoir in Hanjiang Basin

Estimate of Design Hydrographs for the Angostura Dam, Sonora, Using Statistical and Spectral Methods

On the Use of Satellite Rainfall Data to Design a Dam in an Ungauged Site

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