Abstract
Particle methods (Hockney and Eastwood, 1981) are the most recent and advanced numerical tools for computer modeling of dynamic systems. They seem particularly successful in simulating turbulent fluid dynamics, due to their capability of incorporating semi-random components. Particle modeling of air pollution diffusion phenomena has recently become the subject of a great deal of investigation (e. g., Diehl et al., 1982; Legg and Raupach, 1982; Ley, 1982, Zannetti and Al-Madani, 1983). The promising results of these studies are, however, accompanied by the persisting difficulty of properly evaluating Lagrangian velocity statistics from Eulerian measurements (see Davis, 1982). Nevertheless, particle methods provide outstanding advantages over other air pollution diffusion modeling techniques, such as Gaussian models and grid models, as discussed below.
On leave of Absence from Aero Vironment Inc., 145 Vista Ave., Pasadena, CA 31107, USA.
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References
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© 1985 Plenum Press, New York
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Zannetti, P., Al-Madani, N. (1985). Simulation of Transformation, Buoyancy and Removal Processes by Lagrangian Particle Methods. In: De Wispelaere, C. (eds) Air Pollution Modeling and Its Application IV. Nato — Challenges of Modern Society, vol 7. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-2455-3_39
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DOI: https://doi.org/10.1007/978-1-4613-2455-3_39
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