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    Estimating Discharge Measurement Uncertainty Using the Interpolated Variance Estimator

    Source: Journal of Hydraulic Engineering:;2013:;Volume ( 139 ):;issue: 005
    Author:
    Timothy A. Cohn
    ,
    Julie E. Kiang
    ,
    Robert R. Mason Jr.
    DOI: 10.1061/(ASCE)HY.1943-7900.0000695
    Publisher: American Society of Civil Engineers
    Abstract: Methods for quantifying the uncertainty in discharge measurements typically identify various sources of uncertainty and then estimate the uncertainty from each of these sources by applying the results of empirical or laboratory studies. If actual measurement conditions are not consistent with those encountered in the empirical or laboratory studies, these methods may give poor estimates of discharge uncertainty. This paper presents an alternative method for estimating discharge measurement uncertainty that uses statistical techniques and on-site observations. This interpolated variance estimator (IVE) estimates uncertainty based on the data collected during the streamflow measurement and therefore reflects the conditions encountered at the site. The IVE has the additional advantage of capturing all sources of random uncertainty in the velocity and depth measurements. It can be applied to velocity-area discharge measurements that use a velocity meter to measure point velocities at multiple vertical sections in a channel cross section.
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      Estimating Discharge Measurement Uncertainty Using the Interpolated Variance Estimator

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    contributor authorTimothy A. Cohn
    contributor authorJulie E. Kiang
    contributor authorRobert R. Mason Jr.
    date accessioned2017-05-08T21:51:40Z
    date available2017-05-08T21:51:40Z
    date copyrightMay 2013
    date issued2013
    identifier other%28asce%29hy%2E1943-7900%2E0000722.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/64559
    description abstractMethods for quantifying the uncertainty in discharge measurements typically identify various sources of uncertainty and then estimate the uncertainty from each of these sources by applying the results of empirical or laboratory studies. If actual measurement conditions are not consistent with those encountered in the empirical or laboratory studies, these methods may give poor estimates of discharge uncertainty. This paper presents an alternative method for estimating discharge measurement uncertainty that uses statistical techniques and on-site observations. This interpolated variance estimator (IVE) estimates uncertainty based on the data collected during the streamflow measurement and therefore reflects the conditions encountered at the site. The IVE has the additional advantage of capturing all sources of random uncertainty in the velocity and depth measurements. It can be applied to velocity-area discharge measurements that use a velocity meter to measure point velocities at multiple vertical sections in a channel cross section.
    publisherAmerican Society of Civil Engineers
    titleEstimating Discharge Measurement Uncertainty Using the Interpolated Variance Estimator
    typeJournal Paper
    journal volume139
    journal issue5
    journal titleJournal of Hydraulic Engineering
    identifier doi10.1061/(ASCE)HY.1943-7900.0000695
    treeJournal of Hydraulic Engineering:;2013:;Volume ( 139 ):;issue: 005
    contenttypeFulltext
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