On a Model for Pollutant Dispersion in the Atmosphere with Partially Reflective Boundary Conditions

  • J. F. Loeck
  • B. E. J. Bodmann
  • M. T. B. Vilhena
Conference paper

Abstract

Air pollutant release of either anthropogenic or natural sources is of increasing relevance because of its possible adverse effects and consequences on the ecosystem including humans. Initiatives related to environmental protocols are one witness to testify the necessity to understand and predict impact of dispersion of substances on environmental health and in case of incidents or accidents evaluate its risks on habitats.

Keywords

pollutant dispersion partially reflected boundary conditions 

References

  1. [Ar99]
    Arya, S.P.: Air pollution meteorology and dispersion. Oxford University Press, New York (1999)Google Scholar
  2. [Ba01]
    Barratt, R.: Atmospheric Dispersion Modelling: An Introduction to Practical Applications. Earthscan, London, UK (2001)Google Scholar
  3. [BeOl86]
    Berkowicz, R.R., Olesen, H.R., Torp, U.: The danish gaussian air pollution model (OML): Description, test and sensitivity analysis in view of regulatory applications. In: Air Pollution Modeling and Its Application 10, Plenum Publishing Corporation, New York, 453–481 (1986).Google Scholar
  4. [BuEtAl11]
    Buske, D., Vilhena, M.T., Segatto, C.F., Quadros, R.S.: A General Analytical Solution of the Advection-Diffusion Equation for Fickian Closure In: Ch. Constanda, P.J. Harris, Integral Methods in Science and Engineering: Computational and Analytic Aspects, Springer, 25–33 (2011).Google Scholar
  5. [DeMo92]
    Degrazia, G.A. and Moraes, O.L.L.: A model for eddy diffusivity in a stable boundary layer. Boundary-Layer Meteorology 58, 205–214 (1992)CrossRefGoogle Scholar
  6. [DoHo85]
    Doran, J.C. and Horst, T.W.: An evaluation of Gaussian plume depletion models with dual-tracer field measurements. Atmospheric Environment 19, 939–951 (1985)CrossRefGoogle Scholar
  7. [Ha89]
    Hanna, S.R.: Confidence limit for air quality models as estimated by bootstrap and jacknife resampling methods. Atmospheric Environment 23, 1385–1395 (1989)CrossRefGoogle Scholar
  8. [Oz74]
    Özisik, M.: Heat Conduction. John Wiley & Sons, New York, 2 edition (1974)Google Scholar
  9. [PaSm83]
    Pasquill, F. and Smith, F.B.: Atmospheric Diffusion. Halsted Press, New York, 3rd edition (1983)Google Scholar
  10. [SePa06]
    Seinfeld, J.H., Pandis, S.N.: Atmospheric chemistry and physics: from air pollution to climate change. John Wiley & Sons, New Jersey, 2nd edition (2006)Google Scholar
  11. [Ta22]
    Taylor, G.I.: Diffusion by Continuous Movements. Proceedings of the London Mathematical Society 20, 196–212 (1922)CrossRefGoogle Scholar
  12. [ThMc06]
    Thongmoon, M., McKibbin, R.: A comparison of some numerical methods for the advection-diffusion equation. Res. Lett. Inf. Math. Sci. 10, 49–62 (2006).Google Scholar
  13. [TiVi12]
    Tirabassi, T. and Vilhena M.: Advection-Diffusion in the Atmosphere: Equations and Solutions. In: R. Grifoni; G. Latini; S. Tascini (eds.) Atmospheric Flow Fields: Theory, Numerical Methods and Software Tools, Bentham Science Publishers, Oak Park, Illinois, 153–173 (2012)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • J. F. Loeck
    • 1
  • B. E. J. Bodmann
    • 1
  • M. T. B. Vilhena
    • 1
  1. 1.Federal University of Rio Grande do SulPortoAlegreBrazil

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