Regional Flood Estimation in New South Wales Australia Using Generalized Least Squares Quantile Regression
Publication: Journal of Hydrologic Engineering
Volume 16, Issue 11
Abstract
This paper investigates the applicability of quantile regression technique (QRT) as a viable regional flood frequency analysis (RFFA) method for the state of New South Wales in Australia. The study uses data from 96 small to medium-sized unregulated basins across New South Wales to develop a generalized least squares (GLS)-based QRT. An independent test employing a wide range of statistical diagnostics indicates that the developed regression equations based on the GLS regression can provide quite accurate flood quantile estimates with median relative error values in the range of 13–42%. The developed regression equations are relatively easy to apply and require data for only three predictors—basin area, design rainfall intensity, and stream density.
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Acknowledgments
The authors would like to acknowledge the financial contribution of Engineers Australia to undertake the study; Professor George Kuczera; Mr. Erwin Weinmann; Associate Professor, James Ball; Mr. Mark Babister; and Dr. William Weeks for their suggestions and input to the project. This study is a part of the revision of the Australian Rainfall and Runoff (ARR) which focuses on the development of more accurate regional flood-estimation methods for Australia, which is being undertaken in association with Engineers Australia’s National Committee on Water Engineering.
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© 2011 American Society of Civil Engineers.
History
Received: Dec 7, 2009
Accepted: Mar 8, 2011
Published online: Apr 11, 2011
Published in print: Nov 1, 2011
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