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Applying Dispersive Changes to Lagrangian Particles in Groundwater Transport Models

机译:在地下水运移模型中对拉格朗日粒子应用色散变化

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Method-of-characteristics groundwater transport models require that changes in concentrations computed within an Eulerian framework to account for dispersion be transferred to moving particles used to simulate advective transport. A new algorithm was developed to accomplish this transfer between nodal values and advecting particles more precisely and realistically compared to currently used methods. The new method scales the changes and adjustments of particle concentrations relative to limiting bounds of concentration values determined from the population of adjacent nodal values. The method precludes unrealistic undershoot or overshoot for concentrations of individual particles. In the new method, if dispersion causes cell concentrations to decrease during a time step, those particles in the cell having the highest concentration will decrease the most, and those with the lowest concentration will decrease the least. The converse is true if dispersion is causing concentrations to increase. Furthermore, if the initial concentration on a particle is outside the range of the adjacent nodal values, it will automatically be adjusted in the direction of the acceptable range of values. The new method is inherently mass conservative.
机译:特征方法地下水运输模型要求将在欧拉框架内计算的浓度变化(考虑到分散性)转移到用于模拟平流运输的运动颗粒上。与目前使用的方法相比,开发了一种新的算法来更精确,更实际地完成节点值与平移粒子之间的转换。新方法可缩放相对于由相邻节点值的总体确定的浓度值的限制范围的粒子浓度的变化和调整。该方法排除了单个颗粒浓度的不切实际的下冲或过冲。在新方法中,如果分散使细胞浓度在一个时间步中降低,则细胞中浓度最高的粒子将减少最多,而浓度最低的粒子将减少最少。如果分散引起浓度增加,则相反。此外,如果粒子上的初始浓度在相邻节点值的范围之外,则会在可接受的值范围的方向上自动进行调整。新方法本质上是保守的。

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