Design flood estimation for ungauged catchments in Eastern NSW : evaluation of the Probabilistic Rational Method

James Pirozzi, Mohammad Ashraf, Ataur Rahman, Khaled Haddad

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

Abstract

Design flood estimation in ungauged catchments is a common problem in hydrological design. Australian Rainfall and Runoff (ARR) 1987 recommends the Probabilistic Rational Method (PRM) for South Eastern Australia including Eastern NSW. As part of the current revision of ARR, this paper examines the applicability of the PRM for eastern NSW. It also compares PRM estimates with the Quantile Regression Technique (QRT) based on ordinary least squares. Independent testing showed that the PRM provided acceptable estimates, with a median relative error of 32%, while the QRT produced more accurate estimates with a median relative error of 25%. Both the methods require the data of two independent variables, catchment area and design rainfall intensity, which are relatively easy to obtain. Based on the findings of this study, QRT is found to be the preferable method over the PRM for eastern NSW, as it generally provides more accurate flood quantile estimates and does not require use of the runoff coefficient map.
Original languageEnglish
Title of host publicationProceedings of H2009 32nd Hydrology and Water Resources Symposium: Adapting to Change, Newcastle, Australia, 30 November - 3 December 2009, Newcastle, Australia
PublisherEngineers Australia
Pages805-816
Number of pages12
Publication statusPublished - 2009
EventHydrology and Water Resources Symposium -
Duration: 19 Nov 2012 → …

Conference

ConferenceHydrology and Water Resources Symposium
Period19/11/12 → …

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