Dispersion of Particles Released into a Neutral Planetary Boundary Layer: A comparative study between three stochastic, discontinuous trajectory models.

Physics – Fluid Dynamics

Scientific paper

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Scientific paper

The dispersion of particles which are continuosly released into a neutral planetary boundary layer is presented. Three stochastic, discontinuous models (Monte Carlo, Markov chains and Markov chain-Monte Carlo) are used to predict the trajectory and velocity history of particles which behave as fluid elements. The concentration of particles is also determined by using a fully Lagrangian method known as smoothed particle hydrodynamics, which has been unified with a hierarchical tree algorithm (TREESPH method). The mean velocities and the turbulent characteristics of the atmospheric flow are obtained by using an algebraic Reynolds stress turbulence model. The numerical simulation of the atmospheric flow is compared with observations and with computational results previously published. The predicted root mean-square single particle displacements for an elevated continuous source are compared with the Pasquill-Gifford σz and σy empirical parameters for the Pasquill stability class D. The numerical computations of particle concentration are compared with the results obtained by a general Gaussian dispersion equation for continuous releases over flat terrain. The predictions of particle dispersion (σ's values) and particle concentration indicate that the Pasquill-Gifford empirical parameters are valid only within the range where the effect of the Ekman spiral is small. The results also show that the particle dispersion and the concentration profiles depend on the "jump" stochastic model and on the release height.

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