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    Estimation of Mean Flow Velocity in Ice‐Covered Channels

    Source: Journal of Hydraulic Engineering:;1994:;Volume ( 120 ):;issue: 012
    Author:
    Martin J. Teal
    ,
    Robert Ettema
    ,
    John F. Walker
    DOI: 10.1061/(ASCE)0733-9429(1994)120:12(1385)
    Publisher: American Society of Civil Engineers
    Abstract: Point‐measurement methods for estimating the mean velocity of vertical distributions of streamwise velocity in ice‐covered channels are evaluated in this paper. The evaluation uses profiles generated numerically, based on a two‐power law description of vertical distribution of streamwise velocity. The two‐power law simplifies into the well‐known power‐law expression for open‐water velocity profiles. Its validity was verified using measured velocity profiles obtained from rivers and a laboratory flume. The profiles are representative of flows subject to various combinations of bed and ice‐cover conditions. Values of estimation bias (the percent error in estimating average velocity from a few point measurements instead of integrating over the entire vertical velocity profile) were determined for several point‐measurement methods, including those currently used by the United States Geological Survey (USGS) and the Water Survey of Canada, and proposed new methods. The systematic variation of bias values with ice‐cover and bed‐resistance conditions was also determined. The method with the least overall bias is the so‐called usual two‐point method, in which velocity measurements taken at 0.2 and 0.8 of flow depth are averaged to obtain an estimate of mean velocity. This method produces a remarkably small bias; its maximum value is close to 2%. Estimation accuracy is enhanced if a coefficient of 0.98 is applied to the two‐point method.
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      Estimation of Mean Flow Velocity in Ice‐Covered Channels

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    https://yetl.yabesh.ir/yetl1/handle/yetl/23897
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    • Journal of Hydraulic Engineering

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    contributor authorMartin J. Teal
    contributor authorRobert Ettema
    contributor authorJohn F. Walker
    date accessioned2017-05-08T20:41:56Z
    date available2017-05-08T20:41:56Z
    date copyrightDecember 1994
    date issued1994
    identifier other%28asce%290733-9429%281994%29120%3A12%281385%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/23897
    description abstractPoint‐measurement methods for estimating the mean velocity of vertical distributions of streamwise velocity in ice‐covered channels are evaluated in this paper. The evaluation uses profiles generated numerically, based on a two‐power law description of vertical distribution of streamwise velocity. The two‐power law simplifies into the well‐known power‐law expression for open‐water velocity profiles. Its validity was verified using measured velocity profiles obtained from rivers and a laboratory flume. The profiles are representative of flows subject to various combinations of bed and ice‐cover conditions. Values of estimation bias (the percent error in estimating average velocity from a few point measurements instead of integrating over the entire vertical velocity profile) were determined for several point‐measurement methods, including those currently used by the United States Geological Survey (USGS) and the Water Survey of Canada, and proposed new methods. The systematic variation of bias values with ice‐cover and bed‐resistance conditions was also determined. The method with the least overall bias is the so‐called usual two‐point method, in which velocity measurements taken at 0.2 and 0.8 of flow depth are averaged to obtain an estimate of mean velocity. This method produces a remarkably small bias; its maximum value is close to 2%. Estimation accuracy is enhanced if a coefficient of 0.98 is applied to the two‐point method.
    publisherAmerican Society of Civil Engineers
    titleEstimation of Mean Flow Velocity in Ice‐Covered Channels
    typeJournal Paper
    journal volume120
    journal issue12
    journal titleJournal of Hydraulic Engineering
    identifier doi10.1061/(ASCE)0733-9429(1994)120:12(1385)
    treeJournal of Hydraulic Engineering:;1994:;Volume ( 120 ):;issue: 012
    contenttypeFulltext
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