• Login
    View Item 
    •   DSpace Home
    • ASCE
    • Journal of Waterway, Port, Coastal, and Ocean Engineering
    • View Item
    •   DSpace Home
    • ASCE
    • Journal of Waterway, Port, Coastal, and Ocean Engineering
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Predicting the Future of Sediment: A Parametric Regression Approach to Harbor Shoaling

    Thumbnail
    View/Open
    JWPED5.WWENG-2414.pdf (44.62Mb)
    Date
    2026
    Author
    Davies, Matthew P.
    Young, David L.
    Scully, Brandan M.
    Hartman, Michael A.
    Chen, Jiannan
    Zhan, Weiwei
    Wang, Dingbao
    Metadata
    Show full item record
    Abstract
    Abstract Accurate prediction of shoaling rates and dredge volumes is critical for optimizing the USACE’s navigation channel maintenance strategies and controlling dredging costs. Existing methodologies—such as traditional linear regression and advanced ... Practical Applications Accurately predicting shoaling in navigation channels is a major challenge for coastal engineers, port authorities, and policymakers. Current methods often rely on simple trend lines or models that do not capture the true ...
    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4313893
    Collections
    • Journal of Waterway, Port, Coastal, and Ocean Engineering

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV
     

     

    Browse

    All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV