Abstract
Random walk models are powerful tools to describe turbulent diffusion in the atmospheric boundary layer. These models describe the evolution of a passive tracers (“particles”) in phase-space via a stochastic differential equation, usually the Langevin equation. They have developed from early applications to homogeneous turbulence (Lin and Reid, 1962) via applications to both inhomogeneous turbulence (Wilson et. al., 1981) and skewed turbulence (Baerentsen and Berkowitz, 1984).
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Baerentsen, J. H. and Berkowicz, R., 1984, Monte Carlo simulation of plume dispersion in the convective boundary layer, Atmos. Environ., 18:701–712.
Barad, M. L., 1958, Project Prairie Grass, a Field Program in Diffusion, Report AFCRLTR235 (2 volumes).
Boughton, B. A., Delaurentis, J. M. and Dunn, W. E., 1987, A stochastic model of particle dispersion in the atmospherc, Boundary-Layer Meteorol. 40:147–163.
Chamberlain, A. C., 1966, Transport of gases to and from grass and grass-like surfaces, Proc. R. Soc. Lond. A. 290:236–265.
Dyer, A. J., 1974, A review of flux profile relationships, Boundary-Layer Meterol. 7:363–372.
Garland, J. A., 1977, The dry deposition of sulphur dioxide to land and water surfaces, Proc. R. Soc. Lond. A. 354:245–268.
Gryning, S-E., van Ulden, A. P. and Larsen, S. E., 1983, Dispersion from a continous ground-level source investigated by a K-model, Quart. J. R. Met. Soc. 109, 355–364.
Karlsson, E., Berglund, T. and Nordstrand, M., 1995, Deposition of sarin on snow, Proceedings of the Fifth International Symposium on Protection against Chemical and Biological Warfare Agents, Stockholm, Sweden, pp 409–415.
Ley, A. J. and Thomson, D. J., 1983, A random walk model of dispersion in the diabatic surface layer, Quart. J. R. Met. Soc. 109:867–880.
Lin, C. C. and Reid, W. H., 1962, Turbulent flow, Handbuch der Physik, VIII/2, Springer, Berlin. pp. 438–523.
Näslund, E. and Karlsson, E., 1995, Dry deposition in a model for stochastic particle dispersion, Air Pollution 95, Porto Carras, Greece (in press).
Reif, F., 1965, Fundamentals of Statistical and Thermal Physics, McGraw-Hill, pp. 269–273.
Rodean, H. C., Lange, R. L. and Nasstrom, J. S., 1992, Comparison of two stochastic models of scalar diffusion in turbulent flow, Tenth Symposium on Turbulence and Diffusion, Portland, Oregon, pp 106–109.
Thomson, D. J., 1987, Criteria for the selection of stochastic models of particle trajectories in turbulent flows, J. Fluid Mech. 180:529–556.
van Ulden, A. P., 1978, Simple estimates for vertical diffusion from sources near the ground, Atmos. Environ. 12:2125–2129.
Wilson, J.D., Thurtell, G.W. and Kidd, G.E., 1981, Numerical simulation of particle trajectories in inhomogeneous turbulence II: Systems with variable turbulence velocity scale, Boundary-Layer Meteorol. 21:423–441.
Wilson, J. D., Ferrandino, F. J. and Thurtell, G. W., 1989, A relationship between deposition velocity and trajectory reflection probability for use in stochastic lagrangian dispersion models, Agricultural and Forest Meteorol. 47:139–154.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1996 Springer Science+Business Media New York
About this chapter
Cite this chapter
Karlsson, E., Näslund, E., Gryning, SE. (1996). Comparison between Experimental Data and a Langevin Particle Dispersion Model Including Dry Deposition. In: Gryning, SE., Schiermeier, F.A. (eds) Air Pollution Modeling and Its Application XI. NATO · Challenges of Modern Society, vol 21. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5841-5_38
Download citation
DOI: https://doi.org/10.1007/978-1-4615-5841-5_38
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-7678-1
Online ISBN: 978-1-4615-5841-5
eBook Packages: Springer Book Archive