Numerical Simulation of Suspended Sediment Transportation Based on Particle Tracking Model

A coupled biological-physical model was constructed by a hydrodynamic model and a particle tracking model describing the transportation of the Patinopecten yessoensis planktonic larvae. The model was applied for the numerical simulation to predict the spatial and temporal distribution of Patinopecten yessoensis planktonic larvae in North Chinese Yellow Sea which results agrees with the field investigation data.

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Numerical Simulation for Dispersion of Anthropogenic Pollutant in Northern Masan Bay using Particle Tracking Model

Journal of Fisheries and Marine Sciences Education ◽

10.13000/jfmse.2016.28.4.1143 ◽

2016 ◽

Vol 28 (4) ◽

pp. 1143-1151

Author(s):

Jin-Ho KIM ◽

Woo-Sung JUNG ◽

Sok-Jin HONG ◽

Won-Chan LEE ◽

Yong-Hyun CHUNG ◽

...

Keyword(s):

Numerical Simulation ◽

Particle Tracking ◽

Particle Tracking Model ◽

Tracking Model ◽

Anthropogenic Pollutant

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Effect of bathymetric changes on residence time in Buenaventura bay (Colombia)

DYNA ◽

10.15446/dyna.v86n211.79649 ◽

2019 ◽

Vol 86 (211) ◽

pp. 241-248

Author(s):

Francisco Fernando Garcia Renteria ◽

Mariela Patricia Gonzalez Chirino

Keyword(s):

Finite Elements ◽

Residence Time ◽

Particle Tracking ◽

Hydrodynamic Model ◽

Residence Times ◽

Particle Tracking Model ◽

Tracking Model ◽

Bathymetric Changes

In order to study the effects of dredging on the residence time of the water in Buenaventura Bay, a 2D finite elements hydrodynamic model was coupled with a particle tracking model. After calibrating and validating the hydrodynamic model, two scenarios that represented the bathymetric changes generated by the dredging process were simulated. The results of the comparison of the simulated scenarios, showed an important reduction in the velocities fields that allow an increase of the residence time up to 12 days in some areas of the bay. In the scenario without dredging, that is, with original bathymetry, residence times of up to 89 days were found.

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Wind Tunnel Validation of a Particle Tracking Model to Evaluate the Wind-Induced Bias of Precipitation Measurements.

10.1002/essoar.10504288.1 ◽

2020 ◽

Author(s):

Arianna Cauteruccio ◽

Elia Brambilla ◽

Mattia Stagnaro ◽

Luca Giovanni Lanza ◽

Daniele Rocchi

Keyword(s):

Wind Tunnel ◽

Particle Tracking ◽

Particle Tracking Model ◽

Tracking Model

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Study on the existence of the transportation particle tracking model in the interactive medium

International Journal of Modern Physics B ◽

10.1142/s0217979221502568 ◽

2021 ◽

pp. 2150256

Author(s):

Mohamed Abd Allah El-Hadidy ◽

Alaa A. Alzulaibani

Keyword(s):

Waiting Time ◽

Particle Tracking ◽

Necessary Conditions ◽

Particle Detection ◽

Particle Tracking Model ◽

Search Plan ◽

Tracking Process ◽

Unit Speed ◽

Tracking Model ◽

Interactive Medium

This paper assumes that the particle jumps randomly (Guassian jumps) from one point to another along one of the imaginary lines inside the interactive medium. Since this study was done in the space, we consider that the position of the particle at any time [Formula: see text] has a multivariate distribution. The random waiting time of the particle for each Gaussian jump depends on its length. An identical set of programed nanosensors (with unit speed) were used to track this particle. Each line has a sensor that starts the tracking process from the origin. The existence of the necessary conditions which give the optimal search plan and the minimum expected value of the particle detection has been proven. This study is supported by a numerical example.

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