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    High-Resolution GNSS-Tracked Drifter for Studying Surface Dispersion in Shallow Water

    Source: Journal of Atmospheric and Oceanic Technology:;2014:;volume( 032 ):;issue: 003::page 579
    Author:
    Suara, Kabir
    ,
    Wang, Charles
    ,
    Feng, Yanming
    ,
    Brown, Richard J.
    ,
    Chanson, Hubert
    ,
    Borgas, Michael
    DOI: 10.1175/JTECH-D-14-00127.1
    Publisher: American Meteorological Society
    Abstract: he use of Global Navigation Satellite System (GNSS)-tracked Lagrangian drifters allows more realistic quantification of fluid motion and dispersion coefficients than Eulerian techniques because such drifters are analogs of particles that are relevant to flow field characterization and pollutant dispersion. Using the fast-growing real-time kinematic (RTK) positioning technique derived from GNSS, drifters are developed for high-frequency (10 Hz) sampling with position estimates with centimeter accuracy. The drifters are designed with small size and less direct wind drag to follow the subsurface flow that characterizes dispersion in shallow waters. An analysis of position error from stationary observation indicates that the drifter can efficiently resolve motion up to 1 Hz. The result of the field deployments of the drifter in conjunction with acoustic Eulerian devices shows a higher estimate of the drifter streamwise velocities. Single particle statistical analysis of field deployments in a shallow estuarine zone yielded estimates of dispersion coefficients comparable to those of dye tracer studies. The drifters capture the tidal elevation during field studies in a tidal estuary.
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      High-Resolution GNSS-Tracked Drifter for Studying Surface Dispersion in Shallow Water

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4228563
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    contributor authorSuara, Kabir
    contributor authorWang, Charles
    contributor authorFeng, Yanming
    contributor authorBrown, Richard J.
    contributor authorChanson, Hubert
    contributor authorBorgas, Michael
    date accessioned2017-06-09T17:25:57Z
    date available2017-06-09T17:25:57Z
    date copyright2015/03/01
    date issued2014
    identifier issn0739-0572
    identifier otherams-85148.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4228563
    description abstracthe use of Global Navigation Satellite System (GNSS)-tracked Lagrangian drifters allows more realistic quantification of fluid motion and dispersion coefficients than Eulerian techniques because such drifters are analogs of particles that are relevant to flow field characterization and pollutant dispersion. Using the fast-growing real-time kinematic (RTK) positioning technique derived from GNSS, drifters are developed for high-frequency (10 Hz) sampling with position estimates with centimeter accuracy. The drifters are designed with small size and less direct wind drag to follow the subsurface flow that characterizes dispersion in shallow waters. An analysis of position error from stationary observation indicates that the drifter can efficiently resolve motion up to 1 Hz. The result of the field deployments of the drifter in conjunction with acoustic Eulerian devices shows a higher estimate of the drifter streamwise velocities. Single particle statistical analysis of field deployments in a shallow estuarine zone yielded estimates of dispersion coefficients comparable to those of dye tracer studies. The drifters capture the tidal elevation during field studies in a tidal estuary.
    publisherAmerican Meteorological Society
    titleHigh-Resolution GNSS-Tracked Drifter for Studying Surface Dispersion in Shallow Water
    typeJournal Paper
    journal volume32
    journal issue3
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/JTECH-D-14-00127.1
    journal fristpage579
    journal lastpage590
    treeJournal of Atmospheric and Oceanic Technology:;2014:;volume( 032 ):;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