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Design flood hydrographs from the relationship between flood peak and volume

机译:根据洪峰与流量之间的关系设计洪水水位图

摘要

Hydrological frequency analyses are usually focused on flood peaks. Flood volumes and durations have not been studied as extensively, although there are many practical situations, such as when designing a dam, in which the full hydrograph is of interest. A flood hydrograph may be described by a multivariate function of the peak, volume and duration. Most standard bivariate and trivariate functions do not produce univariate three-parameter functions as marginal distributions, however, three-parameter functions are required to fit highly skewed data, such as flood peak and flood volume series. In this paper, the relationship between flood peak and hydrograph volume is analysed to overcome this problem. A Monte Carlo experiment was conducted to generate an ensemble of hydrographs that maintain the statistical properties of marginal distributions of the peaks, volumes and durations. This ensemble can be applied to determine the Design Flood Hydrograph (DFH) for a reservoir, which is not a unique hydrograph, but rather a curve in the peak-volume space. All hydrographs on that curve have the same return period, which can be understood as the inverse of the probability to exceed a certain water level in the reservoir in any given year. The procedure can also be applied to design the length of the spillway crest in terms of the risk of exceeding a given water level in the reservoir
机译:水文频率分析通常集中在洪峰。尽管有许多实际情况,例如设计大坝时,需要关注整个水位图,但洪水量和持续时间并未得到广泛的研究。洪水水位图可以通过峰值,流量和持续时间的多元函数来描述。大多数标准双变量和三变量函数不会产生单变量的三参数函数作为边际分布,但是,需要三参数函数来拟合高度偏斜的数据,例如洪水峰和洪水量系列。为了克服这个问题,本文分析了洪峰与水位流量之间的关系。进行了蒙特卡罗实验,以生成一组水文图,这些水文图保持了峰,量和持续时间的边际分布的统计特性。该集合可用于确定水库的设计洪水水位图(DFH),它不是唯一的水位图,而是峰顶空间中的曲线。该曲线上的所有水文曲线都具有相同的恢复期,这可以理解为在任何给定年份超过水库中某个水位的概率的倒数。该程序还可以用于设计溢洪道顶的长度,以考虑超过水库中给定水位的风险

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