http://www.cnr.it/ontology/cnr/individuo/prodotto/ID200324

An advanced puff model based on a mixed Eulerian/Lagrangian approach for turbulent dispersion in the Planetary boundary layer (Articolo in rivista)

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An advanced puff model based on a mixed Eulerian/Lagrangian approach for turbulent dispersion in the Planetary boundary layer (Articolo in rivista) (literal)

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Alternative label

U.Rizza, M.Cassiani, U.Giostra, C.Mangia (2000)
An advanced puff model based on a mixed Eulerian/Lagrangian approach for turbulent dispersion in the Planetary boundary layer
in Boundary - layer meteorology
(literal)

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Titolo

An advanced puff model based on a mixed Eulerian/Lagrangian approach for turbulent dispersion in the Planetary boundary layer (literal)

Abstract

An advanced model aimed at describing the problem of dispersion in the convective boundary layer is proposed. The pollutant particles are grouped in clusters and modelled as Gaussian puffs. The expansion of each puff is modelled according to the concept of relative dispersion and expressed in terms of the spectral properties of the energy containing eddies of the turbulent field. The centre of mass of each puff is moved along a stochastic trajectory, obtained using a Lagrangian stochastic model and filtering the velocity with a recursive Kalman filter. At any instant, a filtering procedure, depending both on travel time and on puff size, acts to select spectral components involved in the expansion and in the meandering of the puff. Such an approach requires only a moderate number of puff releases, so that the proposed model is faster to run than a standard Lagrangian model. On the other hand, unlike the traditional puff model, it allows us to simulate both expansion and meandering of the puff. Therefore, it is well suited to simulate dispersion when the turbulent structures are larger than the plume dimensions, as for example in convective conditions. Being based on spectral formulations in both Eulerian and Lagrangian parts, the model is consistent in all the turbulent parameterizations utilised. Comparisons with a standard Lagrangian particle model as well as with a classical convective experimental dataset show good performance of the proposed model. (literal)

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