Citation
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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Official URL or Download Paper: http://link.springer.com/article/10.1007%2Fs11069-...
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Additional Metadata
Item Type: | Article |
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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 |
Statistic Details: | View Download Statistic |
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