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Quantifying uncertainties associated with depth duration frequency curves

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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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Correspondence to Majid Mirzaei.

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Mirzaei, M., Huang, Y.F., Lee, T.S. et al. Quantifying uncertainties associated with depth duration frequency curves. Nat Hazards 71, 1227–1239 (2014). https://doi.org/10.1007/s11069-013-0819-3

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  • DOI: https://doi.org/10.1007/s11069-013-0819-3

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