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Quantifying uncertainties associated with depth duration frequency curves


Citation

Mirzaei, Majid and Huang, Yuk Feng and Lee, Teang Shui and El-Shafie, Ahmed and Ghazali, Abdul Halim (2014) Quantifying uncertainties associated with depth duration frequency curves. Natural Hazards, 71 (2). pp. 1227-1239. ISSN 0921-030X; ESSN: 1573-0840

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 104 bootstrap samples for all the durations and return periods considered for each rainfall station.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.1007/s11069-013-0819-3
Publisher: Springer Netherlands
Keywords: Uncertainty analysis; Depth duration frequency curves; Generalized extreme value distribution; Bootstrap sampling
Depositing User: Nurul Ainie Mokhtar
Date Deposited: 30 Dec 2015 11:09
Last Modified: 30 Dec 2015 11:10
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1007/s11069-013-0819-3
URI: http://psasir.upm.edu.my/id/eprint/35136
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