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
Natural Hazards | 2014年 / 71卷
关键词
Uncertainty analysis; Depth duration frequency curves; Generalized extreme value distribution; Bootstrap sampling;
D O I
暂无
中图分类号
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.
引用
收藏
页码:1227 / 1239
页数:12
相关论文
共 50 条
  • [21] Bayesian estimation of intensity–duration–frequency curves and of the return period associated to a given rainfall event
    David Huard
    Alain Mailhot
    Sophie Duchesne
    Stochastic Environmental Research and Risk Assessment, 2010, 24 : 337 - 347
  • [22] Intensity-duration-frequency curves at the global scale
    Courty, Laurent G.
    Wilby, Robert L.
    Hillier, John K.
    Slater, Louise J.
    ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (08):
  • [23] Intensity-Duration-Frequency Curves for Dependent Datasets
    El Hannoun, Wafaa
    Makhoukhi, Anas Boukili
    Zoglat, Abdelhak
    El Adlouni, Salah-Eddine
    WATER, 2023, 15 (14)
  • [24] Quantifying uncertainties associated with reference dosimetry in an MR-Linac
    Iakovenko, Viktor
    Keller, Brian
    Malkov, Victor N. N.
    Sahgal, Arjun
    Sarfehnia, Arman
    JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2023, 24 (11):
  • [25] Quantifying the measurement & estimation uncertainties associated with GHG mitigation accounting
    D'Aquanni, R
    2002 IEEE POWER ENGINEERING SOCIETY SUMMER MEETING, VOLS 1-3, CONFERENCE PROCEEDINGS, 2002, : 121 - 123
  • [26] Bayesian estimation of intensity-duration-frequency curves and of the return period associated to a given rainfall event
    Huard, David
    Mailhot, Alain
    Duchesne, Sophie
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2010, 24 (03) : 337 - 347
  • [27] Development of Low Flow Duration-Frequency Curves by Hybrid Frequency Analysis
    Selen Orta
    Hafzullah Aksoy
    Water Resources Management, 2022, 36 : 1521 - 1534
  • [28] Development of Low Flow Duration-Frequency Curves by Hybrid Frequency Analysis
    Orta, Selen
    Aksoy, Hafzullah
    WATER RESOURCES MANAGEMENT, 2022, 36 (05) : 1521 - 1534
  • [29] QUANTIFYING HPI UNCERTAINTIES
    FISHER, JN
    PHIPPS, AJ
    HYDROCARBON PROCESSING, 1971, 50 (03): : 63 - &
  • [30] Regional water balance modelling using flow-duration curves with observational uncertainties
    Westerberg, I. K.
    Gong, L.
    Beven, K. J.
    Seibert, J.
    Semedo, A.
    Xu, C. -Y.
    Halldin, S.
    HYDROLOGY AND EARTH SYSTEM SCIENCES, 2014, 18 (08) : 2993 - 3013