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Quantifying uncertainties associated with depth duration frequency curves
被引:0
|作者:
Majid Mirzaei
Yuk Feng Huang
Teang Shui Lee
Ahmed El-Shafie
Abdul Halim Ghazali
机构:
[1] Universiti Kebangsaan Malaysia,Faculty of Engineering and Built Environment
[2] Universiti Tuanku Abdul Rahman,Faculty of Engineering and Science
[3] Universiti Putra Malaysia,Faculty of Engineering
来源:
关键词:
Uncertainty analysis;
Depth duration frequency curves;
Generalized extreme value distribution;
Bootstrap sampling;
D O I:
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学科分类号:
摘要:
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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页码:1227 / 1239
页数:12
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