Design rainfall estimation in Australia: a case study using L moments and Generalized Least Squares Regression |
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| Authors: | K Haddad A Rahman J Green |
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| Institution: | (1) School of Engineering, University of Western Sydney, Sydney, Australia;(2) Bureau of Meteorology, Melbourne, Australia; |
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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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