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    Application of Extreme Value Theory to Flood Damage

    Source: Journal of Water Resources Planning and Management:;1985:;Volume ( 111 ):;issue: 004
    Author:
    Pierre Ouellette
    ,
    Nassir El‐Jabi
    ,
    Jean Rousselle
    DOI: 10.1061/(ASCE)0733-9496(1985)111:4(467)
    Publisher: American Society of Civil Engineers
    Abstract: Flood plain management requires assessment of the costs and benefits of all projects under consideration. The benefits translate mainly into flood damage reduction. This study presents a methodology for estimating flood damage prior to implementation of flood control structures. In this two‐stage, methodology, a hydroeconomic model for flood damage estimation is first developed, and a flood damage distribution function is then derived from the theory of extreme values in stochastic processes. The distribution function produces an estimation of actualized damages. The Richelieu River basin was selected for a numerical application because of its combined rural and urban characteristics and the fairly extensive sum of knowledge on the basin supplied by previous studies.
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      Application of Extreme Value Theory to Flood Damage

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    contributor authorPierre Ouellette
    contributor authorNassir El‐Jabi
    contributor authorJean Rousselle
    date accessioned2017-05-08T21:06:10Z
    date available2017-05-08T21:06:10Z
    date copyrightSeptember 1985
    date issued1985
    identifier other%28asce%290733-9496%281985%29111%3A4%28467%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/38751
    description abstractFlood plain management requires assessment of the costs and benefits of all projects under consideration. The benefits translate mainly into flood damage reduction. This study presents a methodology for estimating flood damage prior to implementation of flood control structures. In this two‐stage, methodology, a hydroeconomic model for flood damage estimation is first developed, and a flood damage distribution function is then derived from the theory of extreme values in stochastic processes. The distribution function produces an estimation of actualized damages. The Richelieu River basin was selected for a numerical application because of its combined rural and urban characteristics and the fairly extensive sum of knowledge on the basin supplied by previous studies.
    publisherAmerican Society of Civil Engineers
    titleApplication of Extreme Value Theory to Flood Damage
    typeJournal Paper
    journal volume111
    journal issue4
    journal titleJournal of Water Resources Planning and Management
    identifier doi10.1061/(ASCE)0733-9496(1985)111:4(467)
    treeJournal of Water Resources Planning and Management:;1985:;Volume ( 111 ):;issue: 004
    contenttypeFulltext
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