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    Multiple Linear Regression Model for Total Bed Material Load Prediction

    Source: Journal of Hydraulic Engineering:;2006:;Volume ( 132 ):;issue: 005
    Author:
    S. K. Sinnakaudan
    ,
    A. Ab Ghani
    ,
    M. S. Ahmad
    ,
    N. A. Zakaria
    DOI: 10.1061/(ASCE)0733-9429(2006)132:5(521)
    Publisher: American Society of Civil Engineers
    Abstract: A new total bed material load equation that is applicable for rivers in Malaysia was developed using multiple linear regression analyses. A total of 346 hydraulic and sediment data were collected from nine natural and channelized rivers having diverse catchment characteristics in Malaysia. The governing parameters were carefully selected based on literature survey and field experiments, examined and grouped into five categories namely mobility, transport, sediment, shape, and flow resistance parameters. The most influential parameters from each group were selected by using all possible regression model method. The suitable model selection criteria namely the
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      Multiple Linear Regression Model for Total Bed Material Load Prediction

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/26112
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    • Journal of Hydraulic Engineering

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    contributor authorS. K. Sinnakaudan
    contributor authorA. Ab Ghani
    contributor authorM. S. Ahmad
    contributor authorN. A. Zakaria
    date accessioned2017-05-08T20:45:29Z
    date available2017-05-08T20:45:29Z
    date copyrightMay 2006
    date issued2006
    identifier other%28asce%290733-9429%282006%29132%3A5%28521%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/26112
    description abstractA new total bed material load equation that is applicable for rivers in Malaysia was developed using multiple linear regression analyses. A total of 346 hydraulic and sediment data were collected from nine natural and channelized rivers having diverse catchment characteristics in Malaysia. The governing parameters were carefully selected based on literature survey and field experiments, examined and grouped into five categories namely mobility, transport, sediment, shape, and flow resistance parameters. The most influential parameters from each group were selected by using all possible regression model method. The suitable model selection criteria namely the
    publisherAmerican Society of Civil Engineers
    titleMultiple Linear Regression Model for Total Bed Material Load Prediction
    typeJournal Paper
    journal volume132
    journal issue5
    journal titleJournal of Hydraulic Engineering
    identifier doi10.1061/(ASCE)0733-9429(2006)132:5(521)
    treeJournal of Hydraulic Engineering:;2006:;Volume ( 132 ):;issue: 005
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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