Abstract

Abstract. 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.

Highlights

  • Hydrological frequency analyses are usually focused on flood peaks, for example, culverts, bridges and river channel defences are designed by considering the peak flow for a given return period

  • Mediero timate the flood peak frequency curve (Cunnane, 1988, 1989; GREHYS, 1996), but flood volumes have not been studied as extensively, despite the fact that they are needed to design some structures like dams, where the entire flood hydrograph is of interest

  • A methodology for generating flood hydrographs that preserves the statistical properties of the peak, volume and duration marginal distributions has been developed

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Summary

Introduction

Hydrological frequency analyses are usually focused on flood peaks, for example, culverts, bridges and river channel defences are designed by considering the peak flow for a given return period. As the return period assigned to a flood is the inverse of the probability of exceeding a particular water level, it is calculated as the total number of hydrographs divided by the number of hydrographs that reached a maximum water level higher than the threshold. With this procedure, the DFH for a given return period is not a unique hydrograph, but rather a curve in the peakvolume domain, so that there will be a set of hydrographs with the same return period and the same risk to the dam

Case studies
Marginal distributions
Flood peak frequency distribution
Flood volume frequency distribution
Relationship between the peak flow and hydrograph volume
Generation of synthetic peak-volume pairs
Generation of hydrographs
Design flood hydrographs
Findings
Conclusions
Full Text
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