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The simulation of particle motion in the atmosphere by a numerical random-walk model

✍ Scribed by C. D. Hall


Publisher
John Wiley and Sons
Year
1975
Tongue
English
Weight
515 KB
Volume
101
Category
Article
ISSN
0035-9009

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✦ Synopsis


Abstract

Of all the models of turbulent motion that are based on a random‐walk technique, the simplest are ones which simulate individual particle trajectories. The accuracies of two such models are assessed by applying them to low‐level diffusion in the atmosphere. It is found that one based on a Markov‐Chain principle predicts particle concentrations over short and medium ranges which are consistent with observation. Calculations are extended to include dispersion in unstable conditions, and by postulating the dependence of several important turbulence parameters on z/L, it is possible to derive a physically realistic model.


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Stochastic models of turbulent atmospheric dispersion treat either the particle displacement or particle velocity as a continuous time Markov process. An analysis of these processes using stochastic differential equation theory shows that previous particle displacement models have not correctly simu