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formerly Central European Journal of Geosciences

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Dispersion modeling of air pollutants in the atmosphere: a review

Ádám Leelőssy
  • Department of Meteorology, Eötvös Loránd University, Budapest, Hungary
  • :
/ Ferenc Molnár
  • Department of Physics, Applied Physics, and Astronomy, Rensselaer Polytechnic Institute, Troy, New York, USA
  • :
/ Ferenc Izsák
  • Department of Applied Analysis and Computational Mathematics, Eötvös Loránd University, Budapest, Hungary
  • :
/ Ágnes Havasi
  • Department of Applied Analysis and Computational Mathematics, Eötvös Loránd University, Budapest, Hungary
  • :
/ István Lagzi
  • Department of Physics, Budapest University of Technology and Economics, Budapest, Hungary
  • :
/ Róbert Mészáros
  • Department of Meteorology, Eötvös Loránd University, Budapest, Hungary
  • :
Published Online: 2014-08-06 | DOI: https://doi.org/10.2478/s13533-012-0188-6

Abstract

Modeling of dispersion of air pollutants in the atmosphere is one of the most important and challenging scientific problems. There are several natural and anthropogenic events where passive or chemically active compounds are emitted into the atmosphere. The effect of these chemical species can have serious impacts on our environment and human health. Modeling the dispersion of air pollutants can predict this effect. Therefore, development of various model strategies is a key element for the governmental and scientific communities. We provide here a brief review on the mathematical modeling of the dispersion of air pollutants in the atmosphere. We discuss the advantages and drawbacks of several model tools and strategies, namely Gaussian, Lagrangian, Eulerian and CFD models. We especially focus on several recent advances in this multidisciplinary research field, like parallel computing using graphical processing units, or adaptive mesh refinement.

Keywords: air pollution modeling; Lagrangian model; Eulerian model; CFD; accidental release; parallel computing

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Published Online: 2014-08-06

Published in Print: 2014-09-01


Citation Information: Open Geosciences. Volume 6, Issue 3, Pages 257–278, ISSN (Online) 2391-5447, DOI: https://doi.org/10.2478/s13533-012-0188-6, August 2014

© 2014 Versita Warsaw. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. (CC BY-NC-ND 3.0)

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