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    Turbulent Mixing of Floating Pollutants at the Surface of the River

    Source: Journal of Hydraulic Engineering:;2017:;Volume ( 143 ):;issue: 008
    Author:
    Inhwan Park
    ,
    Il Won Seo
    ,
    Young Do Kim
    ,
    Eun Jin Han
    DOI: 10.1061/(ASCE)HY.1943-7900.0001319
    Publisher: American Society of Civil Engineers
    Abstract: Tracer tests were conducted using floaters equipped with a global positioning system (GPS) to investigate the turbulent mixing of the floating pollutant at the surface of natural rivers. The position data were collected by tracking the floaters at different reaches of the Nakdong River in Korea, and the diffusion coefficients were calculated by applying the moment method to the floater distribution data collected. While applying the moment method, the diffusion coefficient was calculated from the time evolution of variance of the particle distribution, which becomes the distance from the centroid of the particle cloud, based on the homogeneous turbulence assumption and the ergodic hypothesis of the turbulent mixing. Analysis of the trajectories of GPS floaters showed that the horizontal mixing in the initial mixing stage was hampered by the interaction and collision between floaters. The experimental results revealed that the dimensionless streamwise diffusion coefficients were larger, in the range of 0.11–0.56, while the spanwise component was in the range of 0.02–0.16. The simulation results using the Lagrangian particle tracking model of the Environmental Fluid Dynamics Code program showed that the discrepancy between the predicted values and the observed data in the initial time gradually decreased as time elapsed.
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      Turbulent Mixing of Floating Pollutants at the Surface of the River

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4238949
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    contributor authorInhwan Park
    contributor authorIl Won Seo
    contributor authorYoung Do Kim
    contributor authorEun Jin Han
    date accessioned2017-12-16T09:07:46Z
    date available2017-12-16T09:07:46Z
    date issued2017
    identifier other%28ASCE%29HY.1943-7900.0001319.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4238949
    description abstractTracer tests were conducted using floaters equipped with a global positioning system (GPS) to investigate the turbulent mixing of the floating pollutant at the surface of natural rivers. The position data were collected by tracking the floaters at different reaches of the Nakdong River in Korea, and the diffusion coefficients were calculated by applying the moment method to the floater distribution data collected. While applying the moment method, the diffusion coefficient was calculated from the time evolution of variance of the particle distribution, which becomes the distance from the centroid of the particle cloud, based on the homogeneous turbulence assumption and the ergodic hypothesis of the turbulent mixing. Analysis of the trajectories of GPS floaters showed that the horizontal mixing in the initial mixing stage was hampered by the interaction and collision between floaters. The experimental results revealed that the dimensionless streamwise diffusion coefficients were larger, in the range of 0.11–0.56, while the spanwise component was in the range of 0.02–0.16. The simulation results using the Lagrangian particle tracking model of the Environmental Fluid Dynamics Code program showed that the discrepancy between the predicted values and the observed data in the initial time gradually decreased as time elapsed.
    publisherAmerican Society of Civil Engineers
    titleTurbulent Mixing of Floating Pollutants at the Surface of the River
    typeJournal Paper
    journal volume143
    journal issue8
    journal titleJournal of Hydraulic Engineering
    identifier doi10.1061/(ASCE)HY.1943-7900.0001319
    treeJournal of Hydraulic Engineering:;2017:;Volume ( 143 ):;issue: 008
    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
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