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    Integrated Frequency Analysis of Extreme Flood Peaks and Flood Volumes Using the Regionalized Quantiles of Rainfall Depths as Auxiliary Variables

    Source: Journal of Hydrologic Engineering:;2008:;Volume ( 013 ):;issue: 003
    Author:
    Wilson Fernandes
    ,
    Mauro Naghettini
    DOI: 10.1061/(ASCE)1084-0699(2008)13:3(171)
    Publisher: American Society of Civil Engineers
    Abstract: In its 1988 report, the U.S. National Research Council identified principles to be followed in order to improve estimation of extreme flood quantiles. In spite of the many advances attained by more recent research on extreme flood estimation, the NRC principles remain useful recommendations to be considered, which are used in the methodology to be described herein. According to the proposed method, flood peaks that have exceeded an arbitrary threshold and their associated flood volumes are modeled as a marked point process. The estimation method consists of separately estimating the marginal density function of flood volumes and the density function of flood peaks conditioned on volumes. The annual probability distribution of flood peaks can then be estimated by double integrating the product of both densities. Regionalized quantiles of rainfall depths have been used as auxiliary variables for guiding the estimation of the upper tail of the marginal density function of flood volumes by postulating simple assumptions regarding the rainfall-runoff transformation under extreme conditions. The inclusion of the regional frequency analysis of rainfall depths, for the same duration as that of flood volumes, is performed by fitting a regional two-component extreme value distribution to rainfall data observed at a number of gauging stations within a homogeneous region. This paper summarizes the basic ideas of the method and the details of its application to a
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      Integrated Frequency Analysis of Extreme Flood Peaks and Flood Volumes Using the Regionalized Quantiles of Rainfall Depths as Auxiliary Variables

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    http://yetl.yabesh.ir/yetl1/handle/yetl/50160
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    contributor authorWilson Fernandes
    contributor authorMauro Naghettini
    date accessioned2017-05-08T21:24:18Z
    date available2017-05-08T21:24:18Z
    date copyrightMarch 2008
    date issued2008
    identifier other%28asce%291084-0699%282008%2913%3A3%28171%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/50160
    description abstractIn its 1988 report, the U.S. National Research Council identified principles to be followed in order to improve estimation of extreme flood quantiles. In spite of the many advances attained by more recent research on extreme flood estimation, the NRC principles remain useful recommendations to be considered, which are used in the methodology to be described herein. According to the proposed method, flood peaks that have exceeded an arbitrary threshold and their associated flood volumes are modeled as a marked point process. The estimation method consists of separately estimating the marginal density function of flood volumes and the density function of flood peaks conditioned on volumes. The annual probability distribution of flood peaks can then be estimated by double integrating the product of both densities. Regionalized quantiles of rainfall depths have been used as auxiliary variables for guiding the estimation of the upper tail of the marginal density function of flood volumes by postulating simple assumptions regarding the rainfall-runoff transformation under extreme conditions. The inclusion of the regional frequency analysis of rainfall depths, for the same duration as that of flood volumes, is performed by fitting a regional two-component extreme value distribution to rainfall data observed at a number of gauging stations within a homogeneous region. This paper summarizes the basic ideas of the method and the details of its application to a
    publisherAmerican Society of Civil Engineers
    titleIntegrated Frequency Analysis of Extreme Flood Peaks and Flood Volumes Using the Regionalized Quantiles of Rainfall Depths as Auxiliary Variables
    typeJournal Paper
    journal volume13
    journal issue3
    journal titleJournal of Hydrologic Engineering
    identifier doi10.1061/(ASCE)1084-0699(2008)13:3(171)
    treeJournal of Hydrologic Engineering:;2008:;Volume ( 013 ):;issue: 003
    contenttypeFulltext
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