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Quantifying uncertainties associated with depth duration frequency curves

Author

Listed:
  • Majid Mirzaei
  • Yuk Huang
  • Teang Lee
  • Ahmed El-Shafie
  • Abdul Ghazali

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 10 4 bootstrap samples for all the durations and return periods considered for each rainfall station. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Majid Mirzaei & Yuk Huang & Teang Lee & Ahmed El-Shafie & Abdul Ghazali, 2014. "Quantifying uncertainties associated with depth duration frequency curves," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(2), pages 1227-1239, March.
    • Handle: RePEc:spr:nathaz:v:71:y:2014:i:2:p:1227-1239
    DOI: 10.1007/s11069-013-0819-3
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    Cited by:

    1. Majid Mirzaei & Haoxuan Yu & Adnan Dehghani & Hadi Galavi & Vahid Shokri & Sahar Mohsenzadeh Karimi & Mehdi Sookhak, 2021. "A Novel Stacked Long Short-Term Memory Approach of Deep Learning for Streamflow Simulation," Sustainability, MDPI, vol. 13(23), pages 1-16, December.

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