Abstract
In this work a fast computational particles tracer model is developed based on Particle-In-Cell method to estimate the sediment transport in the access zone of a river port area. To apply the particles tracer method, first it is necessary to calculate the hydrodynamic fields of the study zone to determine the velocity fields in the three directions. The particle transport is governed mainly by the velocity fields and the turbulent dispersion. The mechanisms of dispersion and resuspension of particles are based in stochastic models, which describes the movement through a probability function. The developed code was validated using two well known cases with a discrete transformation obtaining a max relative error around 4.8% in both cases. The simulations were carried out with 350,000 particles allowing us to determine under certain circumstances different hydrodynamic scenarios where the zones are susceptible to present erosion and siltation at the entrance of the port.
Highlights
The analysis of sediment transport is extremely important for predicting siltation and contaminant transport in rivers or sea ports
Sediment transport is a crucial process to understand the environmental state of aquatic systems [1], because contaminants in aquatic systems are usually cohesive or hydrophobic
It is necessary to estimate accurately the dynamics of the sediment transport to obtain a reliable estimation of the contaminants in the water
Summary
The analysis of sediment transport is extremely important for predicting siltation and contaminant transport in rivers or sea ports. Sediment transport is a crucial process to understand the environmental state of aquatic systems [1], because contaminants in aquatic systems are usually cohesive or hydrophobic. It is necessary to estimate accurately the dynamics of the sediment transport to obtain a reliable estimation of the contaminants in the water. Numerical simulations have shown to be efficient, economic, and practical tools for predicting sediment transport in complex hydrodynamic systems. To obtain a reliable numerical simulation results, it is necessary to take into account as many parameters as possible, to predict correctly the erosion and deposition. The number of particles and their size contained in every cell are considered to determine if the concentration, erosion, and deposition are governed by probabilistic functions
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