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    Optimization of Salinity Data Assimilation for an Accurate Prediction of Density Variations during Marine Works

    Source: Journal of Waterway, Port, Coastal, and Ocean Engineering:;2026:;Volume ( 152 ):;issue: 003::page 04026004-1
    Author:
    Chu, Kai
    ,
    Breugem, Willem Alexander
    ,
    Leyssen, Gert
    ,
    Cornu, Tijs
    ,
    Decrop, Boudewijn
    DOI: 10.1061/JWPED5.WWENG-2421
    Publisher: American Society of Civil Engineers
    Abstract: Abstract Data assimilation improves the accuracy of numerical models by integrating observational data into model predictions, with the ensemble Kalman filter (EnKF) being a widely used technique. Despite its effectiveness, EnKF is often computationally ... Practical Applications This study presents a fast and reliable data assimilation method to improve predictions of salinity in estuaries by integrating field measurements into hydrodynamic models. During the tunnel immersion project in the Scheldt Estuary ...
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      Optimization of Salinity Data Assimilation for an Accurate Prediction of Density Variations during Marine Works

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4313895
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    • Journal of Waterway, Port, Coastal, and Ocean Engineering

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    contributor authorChu, Kai
    contributor authorBreugem, Willem Alexander
    contributor authorLeyssen, Gert
    contributor authorCornu, Tijs
    contributor authorDecrop, Boudewijn
    date accessioned2026-08-20T21:03:57Z
    date available2026-08-20T21:03:57Z
    date copyright2026/02/04
    date issued2026
    identifier otherJWPED5.WWENG-2421.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313895
    description abstractAbstract Data assimilation improves the accuracy of numerical models by integrating observational data into model predictions, with the ensemble Kalman filter (EnKF) being a widely used technique. Despite its effectiveness, EnKF is often computationally ... Practical Applications This study presents a fast and reliable data assimilation method to improve predictions of salinity in estuaries by integrating field measurements into hydrodynamic models. During the tunnel immersion project in the Scheldt Estuary ...
    publisherAmerican Society of Civil Engineers
    titleOptimization of Salinity Data Assimilation for an Accurate Prediction of Density Variations during Marine Works
    typeJournal Article
    journal volume152
    journal issue3
    journal titleJournal of Waterway, Port, Coastal, and Ocean Engineering
    identifier doi10.1061/JWPED5.WWENG-2421
    journal fristpage04026004-1
    journal lastpage04026004-11
    page11
    treeJournal of Waterway, Port, Coastal, and Ocean Engineering:;2026:;Volume ( 152 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian