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Journal ArticleDOI

Criteria for the selection of stochastic models of particle trajectories in turbulent flows

David J. Thomson
- 01 Jul 1987 - 
- Vol. 180, Iss: -1, pp 529-556
TLDR
In this paper, the relationships between the various criteria are examined for a very general class of models and it is shown that most of the criteria are equivalent and also how a model can be designed to satisfy these criteria exactly and to be consistent with inertial-subrange theory.
Abstract
Many different random-walk models of dispersion in inhomogeneous or unsteady turbulence have been proposed and several criteria have emerged to distinguish good models from bad. In this paper the relationships between the various criteria are examined for a very general class of models and it is shown that most of the criteria are equivalent. It is also shown how a model can be designed to satisfy these criteria exactly and to be consistent with inertial-subrange theory. Some examples of models that obey the criteria are described. As an illustration some calculations of dispersion in free-convective conditions are presented.

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Citations
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International Council for the Exploration of the Sea Conseil International pour l'Exploration de la Mer

TL;DR: In this article, the seasonality of the upwelling and the displacement of a marine front along the coast of Mauritania and Senegal cause a contrasting hydroclimatic situations with cold waters in winter, warm waters in summer and two short transition periods be-tween both seasons.
Journal ArticleDOI

A Lagrangian stochastic model for nonpassive particle diffusion in turbulent flows

TL;DR: In this article, a Lagrangian stochastic model for heavy particle dispersion in turbulence is presented, where the model includes the equation of motion for a heavy particle and a Stochastic approach to predicting the velocity of fluid elements along the heavy particle trajectory.
Book ChapterDOI

Dispersal of Transgenic Conifer Pollen

TL;DR: Simulation of transgenic pollen dispersal and LDD from genetically modified forests using a mechanistic turbulent dispersal model based on coupled Eulerian-Lagrangrian closure (CELC) principles finds that conifer pollen LDD can readily exceed 8 km in less than 1 hour without escaping the atmospheric boundary layer.
Journal ArticleDOI

On the simulation of particle trajectories in turbulent flows

TL;DR: In this paper, a different class of stochastic model, comprising of the Langevin equation with a random time scale, for the simulation of fluid velocities along particle trajectories in high Reynolds-number turbulent flows is formulated.
Journal ArticleDOI

Lagrangian modeling of particle concentration distribution in indoor environment with different kernel functions and particle search algorithms

TL;DR: The present study demonstrates that the linked-list algorithm provides the same accuracy as the all-pair algorithm for indoor PM concentration estimation and the computational efficiency is proved to be much better than the widely used all- Pair algorithm.
References
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Journal ArticleDOI

Turbulence Structure in the Convective Boundary Layer

TL;DR: In this paper, a boundary layer experiment conducted over a flat site in northwestern Minnesota is discussed, where wind and temperature fluctuations near the ground were measured with AFCRL's fast-response instrumentation on a 32 m tower with MRU probes attached at five different heights to the tethering cable of a 1300 m2 kite balloon.
Book

Theory and Applications of Stochastic Differential Equations

TL;DR: Presents theory, sources, and applications of stochastic differential equations of Ito's type; those containing white noise; and the role of partial differential equations in this context.
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