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    Sensitivity to Probable Maximum Flood

    Source: Journal of Irrigation and Drainage Engineering:;1995:;Volume ( 121 ):;issue: 005
    Author:
    Ahlam I. Shalaby
    DOI: 10.1061/(ASCE)0733-9437(1995)121:5(327)
    Publisher: American Society of Civil Engineers
    Abstract: The probable maximum flood (PMF) is a function of numerous factors, both meteorological and hydrologic. An accurate estimate of the PMF, required for high-hazard design problems, requires finding the optimum combination of factors. The PMP/UH (probable maximum precipitation/unit hydrograph) method is the currently accepted method to estimate the PMF. Difficulties with the current trial-and-error process used to estimate the PMF include: (1) Finding the optimum combination of factors; and (2) assessing the relative effect and precision of the underlying assumptions. The first difficulty may lead to an inadequate design, and the second difficulty may result in an inaccurate estimate of the risk involved in the design. An experiment was designed to perform a sensitivity analysis of the PMF to its contributing factors. A set of guidelines were developed for assessing the effects of causative factors on the PMF, so that: (1) The optimum value of the PMF is more likely to be computed; and (2) the effort to find the optimum PMF is reduced. Preliminary verification of the results was conducted using Seneca Creek, Maryland, as a case study.
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      Sensitivity to Probable Maximum Flood

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    https://yetl.yabesh.ir/yetl1/handle/yetl/27678
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    contributor authorAhlam I. Shalaby
    date accessioned2017-05-08T20:48:11Z
    date available2017-05-08T20:48:11Z
    date copyrightSeptember 1995
    date issued1995
    identifier other%28asce%290733-9437%281995%29121%3A5%28327%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/27678
    description abstractThe probable maximum flood (PMF) is a function of numerous factors, both meteorological and hydrologic. An accurate estimate of the PMF, required for high-hazard design problems, requires finding the optimum combination of factors. The PMP/UH (probable maximum precipitation/unit hydrograph) method is the currently accepted method to estimate the PMF. Difficulties with the current trial-and-error process used to estimate the PMF include: (1) Finding the optimum combination of factors; and (2) assessing the relative effect and precision of the underlying assumptions. The first difficulty may lead to an inadequate design, and the second difficulty may result in an inaccurate estimate of the risk involved in the design. An experiment was designed to perform a sensitivity analysis of the PMF to its contributing factors. A set of guidelines were developed for assessing the effects of causative factors on the PMF, so that: (1) The optimum value of the PMF is more likely to be computed; and (2) the effort to find the optimum PMF is reduced. Preliminary verification of the results was conducted using Seneca Creek, Maryland, as a case study.
    publisherAmerican Society of Civil Engineers
    titleSensitivity to Probable Maximum Flood
    typeJournal Paper
    journal volume121
    journal issue5
    journal titleJournal of Irrigation and Drainage Engineering
    identifier doi10.1061/(ASCE)0733-9437(1995)121:5(327)
    treeJournal of Irrigation and Drainage Engineering:;1995:;Volume ( 121 ):;issue: 005
    contenttypeFulltext
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