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Parallel Implementation of a Lagrangian Stochastic Model for Pollutant Dispersion

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Abstract

Lagrangian dispersion models have shown to be effective and reliable tools for simulating the airborne pollutant dispersion. However, the main drawback for their use as regulatory models is the associated high computational costs. Consequently, in this paper a parallel version of a Lagrangian particle model—LAMBDA—is developed using the MPI message passing communication library. Performance tests were executed in a distributed memory parallel machine, a multicomputer based on IA-32 architecture. Portions of the pollutant in the air emitted from its source are simulated as fictitious particles whose trajectories evolve under stochastic forcing. This yields independent evolution equations for each particle of the model that can be computed by a different processor in a parallel implementation. Speed-up results show that the parallel implementation is suitable for the used architecture.

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Authors and Affiliations

  1. Department of Physics, Federal University of Santa Maria (UFSM) Santa Maria (RS), Brazil

    Debora R. Roberti & Gervasio A. Degrazia

  2. Laboratory for Computing and Applied Mathematics (LAC), National Institute for Space Research (INPE), São José dos Campos (SP), Brazil

    Roberto P. Souto & Haroldo F. Campos de Velho

  3. Institute of Atmospheric Sciences and Climate (ISAC), Italian National Research Council (CNR)Turin, Italia

    Domenico Anfossi

Authors
  1. Debora R. Roberti
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  2. Roberto P. Souto
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  3. Haroldo F. Campos de Velho
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  4. Gervasio A. Degrazia
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  5. Domenico Anfossi
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Corresponding author

Correspondence to Haroldo F. Campos de Velho.

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Roberti, D.R., Souto, R.P., de Velho, H.F.C. et al. Parallel Implementation of a Lagrangian Stochastic Model for Pollutant Dispersion. Int J Parallel Prog 33, 485–498 (2005). https://doi.org/10.1007/s10766-005-7302-z

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  • DOI: https://doi.org/10.1007/s10766-005-7302-z

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