Comparison of annual maximum and peaks-over-threshold methods in flood frequency analysis

Xiao Pan, Ataur Rahman

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

5 Citations (Scopus)

Abstract

![CDATA[Flooding is considered to be one of the most expensive natural disasters in Australia. The associated direct and indirect losses resulting from flooding are significant. One of the most effective ways to minimise flood damage is to estimate design floods more accurately and use these estimates to design infrastructure so that it can handle floods more smoothly and adequately. Flood frequency analysis is the most common method to estimate design floods when recorded flood data of adequate length is available at the site of interest. Annual maximum series (AMS) flood modelling is the most frequently adopted method of flood frequency analysis (FFA). The peaks-over-threshold model can also be used for FFA, and currently, this method is not popular in Australia. This paper presents a comparison between the models of AMS and peaks-over-threshold for ten catchments in New South Wales, Australia. Several distribution functions are adopted for AMS with maximum likelihood method being used to estimate the parameters of the selected probability distributions. With the peaks-over-threshold model, the exponential distribution function is adopted. It has been found that the peaks-over-threshold model gives more accurate design flood estimates for more frequent floods. In a future study, the procedure will be applied to a large number of catchments in Australia covering all the states to generalise the findings of this study.]]
Original languageEnglish
Title of host publicationHydrology and Water Resources Symposium (HWRS 2018): Water and Communities, 3-6 Dec 2018, Melbourne, Australia
PublisherEngineers Australia
Pages614-625
Number of pages12
ISBN (Print)9781925627183
Publication statusPublished - 2018
EventHydrology and Water Resources Symposium -
Duration: 3 Dec 2018 → …

Conference

ConferenceHydrology and Water Resources Symposium
Period3/12/18 → …

Keywords

  • Australia
  • flood forecasting
  • floods
  • mathematical models

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