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A hybrid approach to particle tracking and Eulerian-Lagrangian models in the simulation of coastal dispersion

机译:海岸散射模拟中的粒子跟踪和欧拉-拉格朗日模型混合方法

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摘要

A hybrid approach to the problem of predicting the dispersion of contaminants (e.g. suspended solids or heated water) in coastal areas is presented. A neutral random walk particle tracking method is adopted in the vicinity of the source point, where steep concentration gradients occur. In the case of heat dispersion particles are assigned with buoyancy, which leads to additive horizontal diffusivity. In the far field, Eulerian-Lagrangian concentration models are used to represent the advection-dominated characteristics of coastal regions. In two simple model tests, the proposed scheme showed reasonable accuracy compared to the analytical solution, especially around the source point where the concentration gradients were high (▽c ≥ 0.005). The present results strongly advocate the use of a random walk model for the near field and a Eulerian-Lagrangian concentration model for the entire domain when modeling dispersion of contaminants in coastal waters.
机译:提出了一种混合方法,用于预测沿海地区污染物(例如,悬浮固体或热水)的扩散情况。在产生陡峭浓度梯度的源点附近采用中性随机游动粒子跟踪方法。在热分散的情况下,颗粒具有浮力,这导致附加的水平扩散性。在远场中,使用欧拉-拉格朗日浓度模型来代表沿海地区对流主导的特征。在两个简单的模型测试中,与分析解决方案相比,所提出的方案显示出合理的准确性,尤其是在浓度梯度较高(▽c≥0.005)的源点附近。当对沿海水域污染物的扩散进行建模时,本研究结果强烈主张对近场使用随机游走模型,对整个域使用欧拉-拉格朗日浓度模型。

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