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A NEW APPROACH FOR DAM DESIGN FLOOD ESTIMATION

机译:DAM设计洪水估算的新方法

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摘要

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:大坝和水库的设计洪水通常是根据洪水频率分析来估算的。此类分析采用在将要建坝的地点或附近记录的最大年排放量的数据。尽管如今正在建设的水坝比过去更少,但也有必要不时修改设计洪水,因为有新的数据可用,尤其是在进行改造计划时。设计洪水完全由水文图来表征,水文图通过水库以确定其防洪能力和溢洪道设计流量。但是,洪水频率分析仅依赖于与峰值流量相关的概率分布的估计。设计水文图的确定是通过采用任意程序进行的,例如假定其形式与对应于最大记录洪水的水文图的形式相同。水文图的最简单表征至少必须包括其最重要的参数,即:峰流量,峰时间和体积。本文的作者基于Hermitian插值法开发了一种简单的水位图参数化方法。通过使用此参数化,他们进行了敏感性分析,结果表明,就水库特征而言,就水库的响应而言,最重要的参数是峰值流量和流量。在此结果的基础上,本文提出了估算大坝和水库设计洪水的新方法。该方法基于峰值排放量和体积的二元极值概率分布。因此,导出了这两个参数的联合返回期的表达式。结果表明,无数对峰值流量和体积值具有给定的联合返回时间。因此,为了确定设计洪水水位图,提出了一个非线性优化问题,该问题的解决方案代表峰值流量和体积的值的组合,这对于给定的联合回水期对水库产生最坏的影响。还介绍了一个涉及修改墨西哥“ El Infiernillo”大坝设计洪水的示例。

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