A novel approach to atmospheric dispersion modelling: The Puff-Particle Model
A novel approach to atmospheric dispersion modelling: The Puff-Particle Model
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DOI：
10.1002/qj.49712455212
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发表时间：
1998-10-01
影响因子：
8.9
通讯作者：
Rotach, MW
中科院分区：
文献类型：
--
作者：
De Haan, P;Rotach, MW
喷流粒子模型(PPM)采用了一种新的方法来解决从微尺度到中尺度的三维大气弥散问题。利用相对扩散的概念，将污染物粒子分组成高斯烟团，并将其分散开来。每一次喷雾的质心都沿着随机轨迹移动。该轨迹是由拉格朗日随机弥散模型给出的粒子轨迹导出的。这样，PPM保留了传统喷雾模型和粒子模型的优点，并能够考虑随机速度分量的正确概率密度函数。通过喷雾中心轨迹模拟了蜿蜒效应(由大于喷雾但不被流场分辨的湍涡引起)，从而得到了对弥散的完整描述。PPM使用哥本哈根、利勒斯特罗姆和金凯三个示踪剂实验的测量结果进行了验证。
The Puff-Particle Model (PPM) uses a new approach to problems of three-dimensional atmospheric dispersion from micro- to mesoscale. The pollutant particles are grouped in clusters treated as Gaussian puffs, which are dispersed making use of the concept of relative diffusion. The centre of mass of each puff is moved along a stochastic trajectory. This trajectory is derived from particle trajectories given by a Lagrangian stochastic-dispersion model. In this way, the PPM retains the advantages of traditional puff models and those of particle models, and is able to take into account the correct probability density function of the stochastic velocity components. The effect of meandering (caused by turbulent eddies larger than the puff but not resolved by the flow field) is simulated by the puff centre trajectories, yielding a complete description of dispersion. The PPM is validated using measurements from three tracer experiments in Copenhagen, Lillestrom and Kincaid.