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A NEW APPROACH FOR DAM DESIGN FLOOD ESTIMATION

机译:水坝设计洪水估计的一种新方法

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Design floods for dams and reservoirs are often estimated on the basis of flood frequency analyses. Such analyses employ data of maximum annual discharges recorded at or near the site where the dam will be built. Even though fewer dams are under construction nowadays than in the past, it is also necessary to revise design floods from time to time, as new data become available, especially when retrofitting plans are underway. A design flood is fully characterized by a hydrograph, which is routed through the reservoir in order to determine its flood control capacity and the spillway design discharge. Nevertheless, flood frequency analyses rely upon the estimation of probability distributions associated with peak discharges only. The determination of the design hydrograph is made by employing arbitrary procedures, such as assuming that its form is the same as the one corresponding to the hydrograph of the largest recorded flood. The simplest characterization of a hydrograph must involve, at least, its most important parameters, namely: peak discharge, time to peak and volume. The authors of this paper have developed a simple parameterization of hydrographs, which is based on the use of Hermitian interpolants. Through the use of this parameterization, they have performed a sensitivity analysis that shows that the most important parameters in characterizing a hydrograph, in terms of the response of a reservoir are the peak discharge and the volume. On the basis of this result, a new approach for estimating the design flood of dams and reservoirs has been developed and is presented in this paper. The method is based on the use of the bivariate extreme-value probability distribution of peak discharge and volume. Thus, an expression for the joint return period of these two parameters is derived. It is shown that an infinite number of pairs of values of peak discharge and volume possesses a given joint return period. Hence, in order to determine the design flood hydrograph, a nonlinear optimization problem is posed, whose solution represents the combination of values of peak discharge and volume that produces the worst effect on the reservoir for a given joint return period. An example involving the revision of the design flood of the "El Infiernillo" dam in Mexico is also presented.
机译:在洪水频率分析的基础上估计水坝和水库的设计洪水。这种分析采用在建造大坝或附近记录的最大年度放电数据。尽管现在较少的大坝正在建设中,但在过去时也需要在时间到时间来修改设计洪水,因为新数据可用,特别是在进行改造计划时。设计洪水完全是通过水库路由的水流的特征,以确定其防洪能力和溢洪道设计放电。然而,洪水频率分析依赖于仅与峰值放电相关的概率分布的估计。设计水文的确定是通过采用任意程序进行的,例如假设其形式与对应于最大记录洪水的水文的形式相同。状态的最简单表征必须至少涉及其最重要的参数,即:峰值放电,峰值和体积的时间。本文的作者制定了一种简单的水文参数化,这是基于封闭仪嵌就的使用。通过使用该参数化,它们已经进行了灵敏度分析,表明在储存器的响应方面表征了表征的最重要参数是峰值放电和体积。在这一结果的基础上,已经开发出一种估算大坝和储层设计泛洪水和储层的新方法。该方法基于使用峰值放电和体积的双变量极值概率分布。因此,推导出这两个参数的关节返回时段的表达。结果表明,无限数量的峰值放电和体积对具有给定的关节返回时期。因此,为了确定设计泛洪文化照片,构成了非线性优化问题,其解决方案代表了在给定的联合返回期间产生对储层的最差影响的峰值放电和体积的组合。还提出了涉及修订墨西哥“El Infiernillo”大坝的设计洪水的一个例子。

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