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    Uncertainty for the ISSDOTv2 Bedload Measurement Method

    Source: Journal of Hydraulic Engineering:;2023:;Volume ( 149 ):;issue: 009::page 04023036-1
    Author:
    Tate O. McAlpin
    ,
    Daniel G. Wren
    ,
    Keaton E. Jones
    ,
    David D. Abraham
    ,
    Roger A. Kuhnle
    ,
    Clinton S. Willson
    DOI: 10.1061/JHEND8.HYENG-13505
    Publisher: ASCE
    Abstract: The Integrated, Section Surface Difference Over Time, version 2 (ISSDOTv2) method provides a means of quantifying bedload in large sandbed rivers. Like all measurements, it is important to understand the uncertainty associated with the method before making management decisions based on its results. A methodology is presented for quantifying and combining the uncertainty for each component of the ISSDOTv2 method including particle density, bed porosity, acoustically measured bed topography, the timing of measurements, sand wave identification, and regression analysis used for geometric correction of bedload measurements. The approach provides an indication of the relative magnitude of each source of uncertainty in addition to the uncertainty in the final resultant transport rate. Laboratory flume measurements were used to evaluate the uncertainty limits and verify the approach. The greatest contributor to uncertainty was found to be the bathymetric uncertainty, and, at the highest transport rates, cumulative relative uncertainty was found to be approximately 10%. Cumulative relative uncertainties grew rapidly with decreasing flow rates, driven primarily by the higher relative contribution of the effect of bathymetric uncertainty on the smaller bedforms that are typically present at lower transport rates. The approach documented here will be transferrable to real-world systems to determine the uncertainty in measured bedload sediment transport rates using the ISSDOTv2 method.
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      Uncertainty for the ISSDOTv2 Bedload Measurement Method

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    contributor authorTate O. McAlpin
    contributor authorDaniel G. Wren
    contributor authorKeaton E. Jones
    contributor authorDavid D. Abraham
    contributor authorRoger A. Kuhnle
    contributor authorClinton S. Willson
    date accessioned2023-11-27T23:30:08Z
    date available2023-11-27T23:30:08Z
    date issued7/13/2023 12:00:00 AM
    date issued2023-07-13
    identifier otherJHEND8.HYENG-13505.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4293609
    description abstractThe Integrated, Section Surface Difference Over Time, version 2 (ISSDOTv2) method provides a means of quantifying bedload in large sandbed rivers. Like all measurements, it is important to understand the uncertainty associated with the method before making management decisions based on its results. A methodology is presented for quantifying and combining the uncertainty for each component of the ISSDOTv2 method including particle density, bed porosity, acoustically measured bed topography, the timing of measurements, sand wave identification, and regression analysis used for geometric correction of bedload measurements. The approach provides an indication of the relative magnitude of each source of uncertainty in addition to the uncertainty in the final resultant transport rate. Laboratory flume measurements were used to evaluate the uncertainty limits and verify the approach. The greatest contributor to uncertainty was found to be the bathymetric uncertainty, and, at the highest transport rates, cumulative relative uncertainty was found to be approximately 10%. Cumulative relative uncertainties grew rapidly with decreasing flow rates, driven primarily by the higher relative contribution of the effect of bathymetric uncertainty on the smaller bedforms that are typically present at lower transport rates. The approach documented here will be transferrable to real-world systems to determine the uncertainty in measured bedload sediment transport rates using the ISSDOTv2 method.
    publisherASCE
    titleUncertainty for the ISSDOTv2 Bedload Measurement Method
    typeJournal Article
    journal volume149
    journal issue9
    journal titleJournal of Hydraulic Engineering
    identifier doi10.1061/JHEND8.HYENG-13505
    journal fristpage04023036-1
    journal lastpage04023036-11
    page11
    treeJournal of Hydraulic Engineering:;2023:;Volume ( 149 ):;issue: 009
    contenttypeFulltext
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