Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/98007
Type: Conference paper
Title: Statistical modelling of rainfall intensity-frequency-duration curves using regional frequency analysis and Bayesian hierarchical modelling
Author: Soltyk, S.
Leonard, M.
Phatak, A.
Lehmann, E.
Citation: Hydrology and Water Resources Symposium 2014, 2014 / pp.302-309
Publisher: Engineers Australia
Issue Date: 2014
ISBN: 9781922107190
Conference Name: 35th Hydrology and Water Resources Symposium (HWRS) (24 Feb 2014 - 27 Feb 2014 : Perth, Western Australia)
Statement of
Responsibility: 
Sylvia Soltyk, Michael Leonard, Aloke Phatak, Eric Lehmann
Abstract: There is a predicted increase in extreme rainfall due to climate change. This may lead to an increase in natural hazards such as flooding, which can result in damage to infrastructure, farming, and may even result in injury or loss of life. Therefore, understanding rainfall extremes is important for assessing and adapting to the potential impacts of climate change. Thus, there is a need for accurate analysis and projection of extreme rainfall and its potential impacts. Understanding the relationship between rainfall intensity, frequency, and duration is important for the design and safety of infrastructure so that it can withstand extreme rainfall events. This relationship is described graphically through intensity-frequency-duration (IFD) curves. Estimating IFD curves, and their associated uncertainty as accurately as possible is critical as it may reduce the human and economic impacts that result from such extreme rainfall events. In this paper, we examine two methods for modelling extreme rainfall spatially: regional frequency analysis (RFA), and the Bayesian hierarchical model (BHM). We produce IFD estimates for both methods and compare the results. We find that for some locations, the RFA and BHM estimates are similar, and for other locations, they differ. We discuss the importance of uncertainty estimates and demonstrate the flexibility of the BHM for producing such measures of uncertainty.
Rights: Copyright status unknown
RMID: 0030025318
Published version: http://search.informit.com.au/documentSummary;dn=389271219160922;res=IELENG
Appears in Collections:Civil and Environmental Engineering publications

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