Quantifying uncertainties associated with depth duration frequency curves

Majid Mirzaei (), Yuk Huang, Teang Lee, Ahmed El-Shafie and Abdul Ghazali

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2014, vol. 71, issue 2, 1227-1239

Abstract: Uncertainty in depth–duration–frequency (DDF) curves is usually disregarded in the view of difficulties associated in assigning a value to it. In central Iran, precipitation duration is often long and characterized with low intensity leading to a considerable uncertainty in the parameters of the probabilistic distributions describing rainfall depth. In this paper, the daily rainfall depths from 4 stations in the Zayanderood basin, Iran, were analysed, and a generalized extreme value distribution was fitted to the maximum yearly rainfall for durations of 1, 2, 3, 4 and 5 days. DDF curves were described as a function of rainfall duration (D) and return period (T). Uncertainties of the rainfall depth in the DDF curves were estimated with the bootstrap sampling method and were described by a normal probability density function. Standard deviations were modeled as a function of rainfall duration and rainfall depth using 10 4 bootstrap samples for all the durations and return periods considered for each rainfall station. Copyright Springer Science+Business Media Dordrecht 2014

Keywords: Uncertainty analysis; Depth duration frequency curves; Generalized extreme value distribution; Bootstrap sampling (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s11069-013-0819-3

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