YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • Journal of Water Resources Planning and Management
    • View Item
    •   YE&T Library
    • ASCE
    • Journal of Water Resources Planning and Management
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Expected Annual Damages and Uncertainties in Flood Frequency Estimation

    Source: Journal of Water Resources Planning and Management:;1989:;Volume ( 115 ):;issue: 001
    Author:
    Nigel W. Arnell
    DOI: 10.1061/(ASCE)0733-9496(1989)115:1(94)
    Publisher: American Society of Civil Engineers
    Abstract: The expected annual damge is the most frequently used index of the impact of flooding at a site. However, estimates of expected annual damages are very uncertain as a result of uncertainties in both the estimation of the flood frequency relationship from limited data and the relationships between magnitude and damage. Computer simulation experiments using synthetic flood peak data and fixed magnitude‐damage functions have shown that the sampling distribution of estimates of expected annual damages is highly skewed to a degree depending on the form of the damage function, and most importantly, that bias in the estimates is most closely related to error in the estimated probability at which damage begins. The use of expected probability leads to a very significant increase in bias in the estimation of expected annual damages.
    • Download: (779.9Kb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Expected Annual Damages and Uncertainties in Flood Frequency Estimation

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/38947
    Collections
    • Journal of Water Resources Planning and Management

    Show full item record

    contributor authorNigel W. Arnell
    date accessioned2017-05-08T21:06:29Z
    date available2017-05-08T21:06:29Z
    date copyrightJanuary 1989
    date issued1989
    identifier other%28asce%290733-9496%281989%29115%3A1%2894%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/38947
    description abstractThe expected annual damge is the most frequently used index of the impact of flooding at a site. However, estimates of expected annual damages are very uncertain as a result of uncertainties in both the estimation of the flood frequency relationship from limited data and the relationships between magnitude and damage. Computer simulation experiments using synthetic flood peak data and fixed magnitude‐damage functions have shown that the sampling distribution of estimates of expected annual damages is highly skewed to a degree depending on the form of the damage function, and most importantly, that bias in the estimates is most closely related to error in the estimated probability at which damage begins. The use of expected probability leads to a very significant increase in bias in the estimation of expected annual damages.
    publisherAmerican Society of Civil Engineers
    titleExpected Annual Damages and Uncertainties in Flood Frequency Estimation
    typeJournal Paper
    journal volume115
    journal issue1
    journal titleJournal of Water Resources Planning and Management
    identifier doi10.1061/(ASCE)0733-9496(1989)115:1(94)
    treeJournal of Water Resources Planning and Management:;1989:;Volume ( 115 ):;issue: 001
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian