DBPapers
DOI: 10.5593/sgem2011/s13.101

A NEW FLOOD REGIONALISATION MODEL FOR LARGE FLOOD ESTIMATION IN AUSTRALIA

AUTHOR/S: K. HADDAD, J. UDDIN, A. RAHMAN, G. KUCZERA, E. WEINMANN
Monday 1 August 2011 by Libadmin2011

11th International Multidisciplinary Scientific GeoConference SGEM2011, www.sgem.org, SGEM2011 Conference Proceedings/ ISSN 1314-2704, June 20-25, 2011, Vol. 2, 761-768 pp

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.

Keywords: Large floods, spatial dependence, ungauged catchments, design floods