Quantifying uncertainties associated with depth duration frequency curves

• Main Authors: Mirzaei, Majid, Huang, Yuk Feng, Lee, Teang Shui, El-Shafie, Ahmed, Ghazali, Abdul Halim
• Format: Article
• Published: Springer Netherlands 2014
• Online Access: http://psasir.upm.edu.my/id/eprint/35136/; http://link.springer.com/article/10.1007%2Fs11069-013-0819-3

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.