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    Trivariate Flood Frequency Analysis Using the Gumbel–Hougaard Copula

    Source: Journal of Hydrologic Engineering:;2007:;Volume ( 012 ):;issue: 004
    Author:
    L. Zhang
    ,
    Vijay P. Singh
    DOI: 10.1061/(ASCE)1084-0699(2007)12:4(431)
    Publisher: American Society of Civil Engineers
    Abstract: Using the Gumbel–Hougaard copula, trivariate distributions of flood peak, volume, and duration were derived, and then conditional return periods were obtained. The derived distributions were tested using flood data from the Amite River Basin in Louisiana. A major advantage of the copula method is that marginal distributions of individual variables can be of any form and the variables can be correlated.
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      Trivariate Flood Frequency Analysis Using the Gumbel–Hougaard Copula

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    contributor authorL. Zhang
    contributor authorVijay P. Singh
    date accessioned2017-05-08T21:24:06Z
    date available2017-05-08T21:24:06Z
    date copyrightJuly 2007
    date issued2007
    identifier other%28asce%291084-0699%282007%2912%3A4%28431%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/50054
    description abstractUsing the Gumbel–Hougaard copula, trivariate distributions of flood peak, volume, and duration were derived, and then conditional return periods were obtained. The derived distributions were tested using flood data from the Amite River Basin in Louisiana. A major advantage of the copula method is that marginal distributions of individual variables can be of any form and the variables can be correlated.
    publisherAmerican Society of Civil Engineers
    titleTrivariate Flood Frequency Analysis Using the Gumbel–Hougaard Copula
    typeJournal Paper
    journal volume12
    journal issue4
    journal titleJournal of Hydrologic Engineering
    identifier doi10.1061/(ASCE)1084-0699(2007)12:4(431)
    treeJournal of Hydrologic Engineering:;2007:;Volume ( 012 ):;issue: 004
    contenttypeFulltext
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