Intercomparison of Lagrangian stochastic models based on two different PDFs

E. Ferrero, D. Anfossi, G. Tinarelli, M. Tamiazzo

Risultato della ricerca: Contributo su rivistaArticolo da conferenzapeer review

Abstract

In this work two different Lagrangian stochastic models for convective turbulence are compared and tested against the Indianapolis dataset. The two models are based on the generalized Langevin equation, whose coefficients are solutions of the Fokker-Planck equation. The first model uses the bi-Gaussian probability density function (PDF) following Luhar and Britter (1989) and the second one, proposed by us, is based on the Gram-Charlier PDF. Both models are able to take into account up to the third order moment of the wind velocity fluctuation vertical component and make use of the Gaussian assumption in the horizontal directions. Basically the two models here considered are different versions of our stochastic dispersion model for flat terrain, LAMBDA. This means that plume rise is taken into account and that the correct boundary conditions are used. The results obtained are presented and their differences discussed.

Lingua originaleInglese
pagine (da-a)225-234
Numero di pagine10
RivistaInternational Journal of Environment and Pollution
Volume14
Numero di pubblicazione1-6
DOI
Stato di pubblicazionePubblicato - 2000
Evento5th Workshop on Harmonization Withing Atmospheric Dispersion Modelling for Regulatory Purposes - Rhodes, Greece
Durata: 18 mag 199821 mag 1998

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