A 3D Lagrangian stochastic particle model for the concentration variance dispersion

Enrico FERRERO, S. Alessandrini, S. Meech, C. Rozoff

Risultato della ricerca: Contributo su rivistaArticolo in rivistapeer review

Abstract

A new scheme for the concentration variance calculation is assessed using field experiment data. The scheme is introduced in a Lagrangian stochastic particle model. The model provides run-time mean concentrations and concentrations’ variance 3D fields; thus, it does not need any off-line post-processing. The model is tested against the FFT-07 field experiment which involves a series of tracer releases. It is a short-range (500 m) highly instrumented experiment. In this work, measurement of tracer concentrations, emitted from a ground level point source is used to assess the ability of the new model in predicting the mean concentration, concentration variance, and the concentration fluctuation intensity at the ground level with a high spatial resolution. The results of the intercomparison are shown and discussed in terms of statistical plots and indices.
Lingua originaleInglese
RivistaBulletin of Atmospheric Science and Technology
Volume3
Numero di pubblicazione1-4
DOI
Stato di pubblicazionePubblicato - 2022

Keywords

  • Concentration fluctuation
  • Numerical simulation
  • Pollutant dispersion

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