Boundary-Layer Meteorology

, Volume 156, Issue 1, pp 37–52 | Cite as

A Lagrangian Particle Transport and Diffusion Model for Non-passive Scalars

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Abstract

We present a model of the transport and diffusion of materials whose density differs from the ambient air density or where there is excess momentum above the ambient flow. The model describes the evolution of the material concentration and can be applied to both positively and negatively buoyant pollutants. In order to calculate the transport and diffusion, we use a Monte-Carlo technique to follow the Lagrangian trajectories of many particles. This makes the model suitable for the calculation of transport and diffusion in non-homogeneous areas such as complex terrain or within an urban canopy. Results are compared with wind-tunnel observations of neutral jet releases under different conditions. Comparisons with wind-tunnel observations are made also for releases of negatively and positively buoyant materials. The agreement with observations is good.

Keywords

Lagrangian diffusion Negatively buoyant pollutant Non-passive scalar diffusion Positively buoyant pollutant 
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References

  1. Aleaandrini S, Ferraro E, Anfossi D (2013) A new Lagrangian method for modelling the buoyant plume rise. Atmos Environ 77:239–249CrossRefGoogle Scholar
  2. Anfossi D, Ferrero E, Brusasca G, Marzorati A, Tinarelli G (1993) A simple way of computing buoyant plume rise in Lagrangian stochastic dispersion models. Atmos Environ 27A(9):1443–1451CrossRefGoogle Scholar
  3. Anfossi D, Tinarelli G, Trini Castelli S, Nibart M, Orly C, Commanay J (2010) A new Lagrangian particle model for the simulation of dense gas dispersion. Atmos Environ 44(6):753–762CrossRefGoogle Scholar
  4. Briggs GA (1975) Plume rise predictions. In: Haugen DA (ed) Lectures on air pollution and environmental impact analyses. American Meteorological Society, Boston, pp 72–73Google Scholar
  5. Eidsvik KJ (1980) A model for heavy gas dispersion in the atmosphere. Atmos Environ 14:769–777CrossRefGoogle Scholar
  6. Ermak DL, Chan ST (1985) A study of heavy gas effects on the atmospheric dispersion of dense gas. Proceedings of the 15th annual international technical meeting on air pollution modeling and its application, UCLR-92494, LNLL Livermore, CA 94550Google Scholar
  7. Fan LN (1967) Turbulent buoyant jets into stratified or flowing ambient fluids. Report No. KH-R-15, W.M. Keck Laboratory of Hydraulics and Water Resources, California Institute of TechnologyGoogle Scholar
  8. Hanna SR, Drivas PJ, Chang JC (1996) Guidelines for use of vapor cloud dispersion models. AIChE/CCPS, New YorkGoogle Scholar
  9. Havens JA Spicer TO (1985) Development of an atmospheric dispersion model for heavier-than-air gas mixtures. Coast Guard Report CG-D-23-80 USCG HQ, WashingtonGoogle Scholar
  10. Heinz S, van Dop H (1999) Buoyant plume rise described by a Lagrangian turbulence model. Atmos Environ 33:2031–2043CrossRefGoogle Scholar
  11. Hirst EA (1971) Analysis of round, turbulent, buoyant jets discharged to flowing stratified ambients. ORNL-4685, Oak-Ridge National Laboratory, pp 37Google Scholar
  12. Hoot TG, Meroney RN, Peterka JA (1973) Wind tunnel tests of negatively bouyant plumes. EPA-650/3-74-003, U. S. Environmental Protection AgencyGoogle Scholar
  13. Kaplan H, Dinar N (1996) A Lagrangian dispersion model for calculating concentration distribution within a built-up domain. Atmos Environ 30(24):4197–4207CrossRefGoogle Scholar
  14. McQuaid J (1985) Heavy gas dispersion trials at Thorney Island. Elsevier, AmsterdamGoogle Scholar
  15. O’Donovan TS (2005) Fluid flow and heat transfer of an impinging air jet. Thesis, University of Dublin, Department of Mechanical Engineering, Trinity College, DublinGoogle Scholar
  16. Ooms G, Mahieu AP, Zelis F (1974) The plume path of vent gases heavier than air. In: Buschman CH (ed) Proceedings of the first international symposium on loss preventation and safety promotion in the process industries. Elsevier, AmsterdamGoogle Scholar
  17. Platten JL, Keffer JF (1968) Entrainment in deflected axisymmetric jets at various angles to stream. University of Toronto, Mechanical Engineering Department, UTME-YP-6808Google Scholar
  18. Sykes RI (2000) PC-SCIPUFF version 1.3 technical documentation. Report no. 725, Titan Corporation, ARAP Group, Princeton, NJ, A.R.A.PGoogle Scholar
  19. Sykes RI, Cerasoli CP, Hment DS (1999) The representation of dynamic flow effects in a Lagrangian puff dispersion model. J Hazard Mater A 64:223–247CrossRefGoogle Scholar
  20. Thomson DJ (1987) Criteria for the selection of stochastic models of particle trajectories in turbulent flows. J Fluid Mech 210:529–556CrossRefGoogle Scholar
  21. Van Dop H (1992) Buoyant plume rise in a Lagrangian framework. Atmos Environ 26A:1335–1346CrossRefGoogle Scholar
  22. Webster HN, Thomson DJ (2002) Validation of a Lagrangian model plume rise scheme using Kincaid data set. Atmos Environ 36:5031–5042CrossRefGoogle Scholar
  23. Williams MD, Brown MJ (2005) Adaption of the QUIC-PLUME model for heavy gas dispersion. In: Proceedings of the symposium on atmospheric science and air quality, San Francisco (session 8.6)Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  1. 1.Israel Institute for Biological ResearchNess-ZionaIsrael

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