Multivariate Flood Frequency Analysis Using Bivariate Copula Functions

被引:23
|
作者
Razmkhah, Homa [1 ]
Fararouie, Alireza [1 ]
Ravari, Amin Rostami [1 ]
机构
[1] Islamic Azad Univ, Dept Water Engn, Marvdasht Branch, Marvdasht, Iran
关键词
Flood characteristic; Bivariate frequency analysis; Copula; RAINFALL-RUNOFF MODEL; UNCERTAINTY PROPAGATION; DERIVATION; HYDROLOGY; DESIGN;
D O I
10.1007/s11269-021-03055-3
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Multivariate analysis of flood frequency was used extensively in water resources research. Often the only flood peak or volume is analyzed with statistical distributions, but for a perfect and exact result, the four main characteristics of a flood event, as well as peak, volume, duration, and time-to-peak, are needed. For this reason, multivariate statistical approaches like copula functions developed. This research aims to define and use the bivariate copula (2-copula) probability distribution functions (PDF) for flood characteristics multivariate analysis. When the joint distribution of characteristics such as volume and peak is known, it is possible to define the probability of simultaneous occurrence of design volume and peak flow values.
引用
收藏
页码:729 / 743
页数:15
相关论文
共 50 条
  • [1] Multivariate Flood Frequency Analysis Using Bivariate Copula Functions
    Homa Razmkhah
    Alireza Fararouie
    Amin Rostami Ravari
    Water Resources Management, 2022, 36 : 729 - 743
  • [2] Bivariate flood frequency analysis using the copula method
    Zhang, L
    Singh, VP
    JOURNAL OF HYDROLOGIC ENGINEERING, 2006, 11 (02) : 150 - 164
  • [3] Flood Coincidence Risk Analysis Using Multivariate Copula Functions
    Chen, Lu
    Singh, Vijay P.
    Guo Shenglian
    Hao, Zenchao
    Li, Tianyuan
    JOURNAL OF HYDROLOGIC ENGINEERING, 2012, 17 (06) : 742 - 755
  • [4] Multivariate Stochastic Flood Frequency Analysis using Copula Theory
    Zhang, Lan
    Singh, Vijay P.
    PROCEEDINGS OF THE 35TH IAHR WORLD CONGRESS, VOLS III AND IV, 2013,
  • [5] Asymmetric copula in multivariate flood frequency analysis
    Grimaldi, Salvatore
    Serinaldi, Francesco
    ADVANCES IN WATER RESOURCES, 2006, 29 (08) : 1155 - 1167
  • [6] Bivariate flood frequency analysis of dates of occurrence and maximum flow through Copula functions
    Campos-Aranda, Daniel Francisco
    TECNOLOGIA Y CIENCIAS DEL AGUA, 2024, 15 (04) : 80 - 136
  • [7] Bivariate Flood Frequency Analysis with Historical Information Based on Copula
    Li, Tianyuan
    Guo, Shenglian
    Chen, Lu
    Guo, Jiali
    JOURNAL OF HYDROLOGIC ENGINEERING, 2013, 18 (08) : 1018 - 1030
  • [8] Bivariate Copulas Functions for Flood Frequency Analysis
    Salleh, Norizzati
    Yusof, Fadhilah
    Yusop, Zulkifli
    ADVANCES IN INDUSTRIAL AND APPLIED MATHEMATICS, 2016, 1750
  • [9] Comparison between bivariate and trivariate flood frequency analysis using the Archimedean copula functions, a case study of the Karun River in Iran
    Klaho, Mohamad Haytham
    Safavi, Hamid R.
    Golmohammadi, Mohammad H.
    Alkntar, Maamoun
    NATURAL HAZARDS, 2022, 112 (02) : 1589 - 1610
  • [10] Comparison between bivariate and trivariate flood frequency analysis using the Archimedean copula functions, a case study of the Karun River in Iran
    Mohamad Haytham Klaho
    Hamid R. Safavi
    Mohammad H. Golmohammadi
    Maamoun Alkntar
    Natural Hazards, 2022, 112 : 1589 - 1610