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    Controlling Skewness in MOVE3 Peak-Flow Record Extensions

    Source: Journal of Hydrologic Engineering:;2022:;Volume ( 027 ):;issue: 009::page 04022015
    Author:
    Seth Siefken
    ,
    Peter McCarthy
    DOI: 10.1061/(ASCE)HE.1943-5584.0002192
    Publisher: ASCE
    Abstract: Streamgage record extension methods such as the maintenance of variance Type 3 (MOVE3) method improve flood frequency estimates at a target streamgage by incorporating information from a nearby, hydrologically similar index streamgage. Bulletin 17C recommends using a variation of the MOVE3 method to estimate values at the target streamgage for only a subset of the available data at the index streamgage to account for uncertainty in values estimated using MOVE3. Bulletin 17C recommends the most recent index streamgage data be used for the subset unless these data misrepresent the skewness of the extended record. However, no method is provided to select the subset if the most recent data are inappropriate. The objective of this study is to develop such a method to select the subset of peaks by extending Bulletin 17C’s MOVE3 methodology to control the skewness of the extended streamgage record. The new method allows the extended record skewness to be informed by all available peak-flow data at the index streamgage while accurately computing the variance and resulting confidence intervals for flood frequency estimates. An example is presented comparing three different variations of MOVE3 record extension, which produce extended streamgage records with the same mean and variance, but different values of skewness. In the example, the difference in skewness between the three methods causes the results of flood frequency analysis for the 1% annual exceedance probability flood to differ by about 15%, illustrating the importance of considering skewness when using MOVE3 record extension.
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      Controlling Skewness in MOVE3 Peak-Flow Record Extensions

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    contributor authorSeth Siefken
    contributor authorPeter McCarthy
    date accessioned2022-08-18T12:18:20Z
    date available2022-08-18T12:18:20Z
    date issued2022/06/20
    identifier other%28ASCE%29HE.1943-5584.0002192.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4286392
    description abstractStreamgage record extension methods such as the maintenance of variance Type 3 (MOVE3) method improve flood frequency estimates at a target streamgage by incorporating information from a nearby, hydrologically similar index streamgage. Bulletin 17C recommends using a variation of the MOVE3 method to estimate values at the target streamgage for only a subset of the available data at the index streamgage to account for uncertainty in values estimated using MOVE3. Bulletin 17C recommends the most recent index streamgage data be used for the subset unless these data misrepresent the skewness of the extended record. However, no method is provided to select the subset if the most recent data are inappropriate. The objective of this study is to develop such a method to select the subset of peaks by extending Bulletin 17C’s MOVE3 methodology to control the skewness of the extended streamgage record. The new method allows the extended record skewness to be informed by all available peak-flow data at the index streamgage while accurately computing the variance and resulting confidence intervals for flood frequency estimates. An example is presented comparing three different variations of MOVE3 record extension, which produce extended streamgage records with the same mean and variance, but different values of skewness. In the example, the difference in skewness between the three methods causes the results of flood frequency analysis for the 1% annual exceedance probability flood to differ by about 15%, illustrating the importance of considering skewness when using MOVE3 record extension.
    publisherASCE
    titleControlling Skewness in MOVE3 Peak-Flow Record Extensions
    typeJournal Article
    journal volume27
    journal issue9
    journal titleJournal of Hydrologic Engineering
    identifier doi10.1061/(ASCE)HE.1943-5584.0002192
    journal fristpage04022015
    journal lastpage04022015-10
    page10
    treeJournal of Hydrologic Engineering:;2022:;Volume ( 027 ):;issue: 009
    contenttypeFulltext
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