@inproceedings{7cc3bf57b3764d68bd7f6f0adf177421,
title = "A new flood regionalisation model for large flood estimation in Australia",
abstract = "Estimation of large to rare floods is needed in the design of major water infrastructure such as large bridges, weirs and dam spillways. This paper presents a simple Large Flood Regionalisation Model (LFRM) which is relatively easy to apply in practice. The proposed method assumes that the maximum observed flood data over a large number of sites in a region can be pooled together by accounting for the at-site variations in the mean and coefficient of variation (CV) and inter-station correlation among the flood series data. For application of the LFRM to the ungauged catchment case, prediction equations need to be developed. In this study, a generalised least squares regression (GLSR) combined with the region-of-influence (ROI) approach is used for developing the prediction equations for the mean and CV of the annual maximum flood series as a function of easily obtainable catchment characteristics. The LFRM is developed and tested in this paper using data from 626 catchments across the Australian continent.",
author = "Khaled Haddad and Uddin, {Md. Jalal} and Ataur Rahman and George Kuczera and Erwin Weinmann",
year = "2011",
language = "English",
publisher = "Stef92 Technology",
pages = "761--768",
booktitle = "Conference Proceedings. Vol. 2, SGEM 2011: 11th International Multidisciplinary Scientific Geoconference: Modern Management of Mine Producing, Geology and Environmental Protection: 20-25 June 2011, Bulgaria",
note = "International Multidisciplinary Scientific GeoConference ; Conference date: 20-06-2011",
}