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Incorporating terminal velocities into Lagrangian stochastic models of particle dispersal in the atmospheric boundary layer

机译:将终端速度纳入大气边界层中颗粒扩散的拉格朗日随机模型

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摘要

Lagrangian stochastic models for simulation of tracer-particle trajectories in turbulent flows can be adapted for simulation of particle trajectories. This is conventionally done by replacing the zero-mean fall speed of a tracer-particle with the terminal speed of the particle. Such models have been used widely to predict spore and pollen dispersal. Here I show that this modification predicts that particles become uniformly distributed throughout the air column, which is at variance with the seminal experimental studies of Hirst et al. (1967) that demonstrated spore concentrations (and pollen concentrations) declined exponentially with height in unstable air. This discrepancy arises because the terminal speed, which is a Lagrangian property of a particle, has always been treated as if it were an Eulerian property of an ensemble of particles. In this study models are formulated correctly. I show that the mean acceleration of a tracer-particle should be replaced by the mean acceleration of a particle. Model predictions for aerial density profiles then agreed with the observations of Hirst et al. (1967) and with observations of ground-level concentrations but differed significantly from predictions obtained using conventional models. In accordance with the results of numerical simulations, the models also predict that particles are moving downwind marginally more slowly than the wind itself. Finally, the new modelling approach can be extended to predict the dispersal of small insects with active flight behaviours.
机译:用于模拟湍流中示踪剂粒子轨迹的拉格朗日随机模型可以适用于粒子轨迹的仿真。通常,这是通过将示踪剂颗粒的零均值下降速度替换为颗粒的终极速度来完成的。这种模型已被广泛用于预测孢子和花粉的扩散。在这里,我表明这种修改预示着粒子将均匀分布在整个气柱中,这与Hirst等人的开创性实验研究有所不同。 (1967)证明孢子浓度(和花粉浓度)在不稳定的空气中随高度呈指数下降。之所以会出现这种差异,是因为始终将粒子的拉格朗日特性作为终极速度来对待,就好像它是粒子整体的欧拉特性一样。在这项研究中,模型是正确制定的​​。我表明,示踪粒子的平均加速度应该由粒子的平均加速度代替。然后,空气密度剖面的模型预测与Hirst等人的观察一致。 (1967)和地面浓度的观察,但与使用传统模型获得的预测有显着差异。根据数值模拟的结果,这些模型还预测,粒子顺风向边缘移动的速度比风本身慢。最后,新的建模方法可以扩展以预测具有活跃飞行行为的小昆虫的扩散。

著录项

  • 期刊名称 Scientific Reports
  • 作者

    Andy M. Reynolds;

  • 作者单位
  • 年(卷),期 -1(8),-1
  • 年度 -1
  • 页码 16843
  • 总页数 8
  • 原文格式 PDF
  • 正文语种
  • 中图分类
  • 关键词

  • 入库时间 2022-08-21 10:57:47

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