Quantifying uncertainties associated with depth duration frequency curves
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 pro...
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my.upm.eprints.351362015-12-30T11:10:57Z http://psasir.upm.edu.my/id/eprint/35136/ Quantifying uncertainties associated with depth duration frequency curves Mirzaei, Majid Huang, Yuk Feng Lee, Teang Shui El-Shafie, Ahmed Ghazali, Abdul Halim 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. Springer Netherlands 2014-03 Article PeerReviewed 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 http://link.springer.com/article/10.1007%2Fs11069-013-0819-3 10.1007/s11069-013-0819-3 |
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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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Article |
author |
Mirzaei, Majid Huang, Yuk Feng Lee, Teang Shui El-Shafie, Ahmed Ghazali, Abdul Halim |
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Mirzaei, Majid Huang, Yuk Feng Lee, Teang Shui El-Shafie, Ahmed Ghazali, Abdul Halim Quantifying uncertainties associated with depth duration frequency curves |
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Mirzaei, Majid Huang, Yuk Feng Lee, Teang Shui El-Shafie, Ahmed Ghazali, Abdul Halim |
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Mirzaei, Majid |
title |
Quantifying uncertainties associated with depth duration frequency curves |
title_short |
Quantifying uncertainties associated with depth duration frequency curves |
title_full |
Quantifying uncertainties associated with depth duration frequency curves |
title_fullStr |
Quantifying uncertainties associated with depth duration frequency curves |
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Quantifying uncertainties associated with depth duration frequency curves |
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quantifying uncertainties associated with depth duration frequency curves |
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Springer Netherlands |
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2014 |
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http://psasir.upm.edu.my/id/eprint/35136/ http://link.springer.com/article/10.1007%2Fs11069-013-0819-3 |
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