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    Checking Flood Frequency Curves Using Rainfall Data

    Source: Journal of Hydraulic Engineering:;1989:;Volume ( 115 ):;issue: 004
    Author:
    T. V. Hromadka, II
    ,
    R. J. Whitley
    DOI: 10.1061/(ASCE)0733-9429(1989)115:4(544)
    Publisher: American Society of Civil Engineers
    Abstract: There is no agreement on the best way to develop flood frequency curves and synthesize runoff peak flow rate data, and no precise procedure which applies to all cases of flood frequency statistics. Consequently it is prudent to check the data to see whether a given flood frequency curve is apppopriate. One such check is a statistical evaluation of the rainfall depth-duration frequency data corresponding to the critical duration of the catchment as associated with each annual peak flow rate. A chi-squared test applied to this data is useful in checking how ``rare'' or ``probable'' the rainfall data are with respect to the model frequency, thereby checking how probable is the flood frequency curve. It is interesting that such a check is sensitive to the precise definition chosen for the ``T-year event.''
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      Checking Flood Frequency Curves Using Rainfall Data

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    contributor authorT. V. Hromadka, II
    contributor authorR. J. Whitley
    date accessioned2017-05-08T20:40:29Z
    date available2017-05-08T20:40:29Z
    date copyrightApril 1989
    date issued1989
    identifier other%28asce%290733-9429%281989%29115%3A4%28544%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/23130
    description abstractThere is no agreement on the best way to develop flood frequency curves and synthesize runoff peak flow rate data, and no precise procedure which applies to all cases of flood frequency statistics. Consequently it is prudent to check the data to see whether a given flood frequency curve is apppopriate. One such check is a statistical evaluation of the rainfall depth-duration frequency data corresponding to the critical duration of the catchment as associated with each annual peak flow rate. A chi-squared test applied to this data is useful in checking how ``rare'' or ``probable'' the rainfall data are with respect to the model frequency, thereby checking how probable is the flood frequency curve. It is interesting that such a check is sensitive to the precise definition chosen for the ``T-year event.''
    publisherAmerican Society of Civil Engineers
    titleChecking Flood Frequency Curves Using Rainfall Data
    typeJournal Paper
    journal volume115
    journal issue4
    journal titleJournal of Hydraulic Engineering
    identifier doi10.1061/(ASCE)0733-9429(1989)115:4(544)
    treeJournal of Hydraulic Engineering:;1989:;Volume ( 115 ):;issue: 004
    contenttypeFulltext
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