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Design rainfall estimation in Australia: a case study using L moments and Generalized Least Squares Regression

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Abstract

Design rainfall is an important input to rainfall runoff models and is used for many other water resources planning and design applications. The estimation of design rainfall is generally done by applying a regional frequency analysis technique that uses data from a large number of rainfall stations in the region. This paper presents a regional rainfall frequency analysis technique that uses an L moments based index method coupled with Generalized Least Squares Regression (GLSR). The particular advantages of the GLSR method are that it accounts for the differences in record lengths across various sites in the region and inter-station correlation in deriving regional prediction equations. The proposed method has been applied to a data set consisting of 203 rainfall stations across Australia. It has been found that the proposed method can be applied successfully in deriving reasonably accurate design rainfall estimates from 1 to 72 h durations. It has also been found that the proposed method provides quite consistent estimates where a third order polynomial is adequate in smoothing the intensity–frequency–duration (IFD) curves. The method can readily be extended to a larger data set of Australia and other countries to derive generalized IFD data.

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Acknowledgments

The authors would like to thank Australian Bureau of Meteorology (BOM), Federal Department of Climate Change in Australia and Engineers Australia for providing financial support to the project, BOM for providing necessary data for the study, Professor George Kuczera from The University of Newcastle and Mr Erwin Weinmann from Monash University for providing suggestions/comments on the work. The authors would also like to thank two anonymous reviewers whose comments and suggestions helped to improve the paper notably.

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Authors and Affiliations

  1. School of Engineering, University of Western Sydney, Sydney, Australia

    K. Haddad & A. Rahman

  2. Bureau of Meteorology, Melbourne, Australia

    J. Green

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  1. K. Haddad
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  2. A. Rahman
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  3. J. Green
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Correspondence to A. Rahman.

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Haddad, K., Rahman, A. & Green, J. Design rainfall estimation in Australia: a case study using L moments and Generalized Least Squares Regression. Stoch Environ Res Risk Assess 25, 815–825 (2011). https://doi.org/10.1007/s00477-010-0443-7

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