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Featured researches published by M.T. Vilhena.


Archive | 2011

A General Analytical Solution of the Advection–Diffusion Equation for Fickian Closure

Daniela Buske; M.T. Vilhena; C.F. Segatto; Régis Sperotto de Quadros

In the last few years there has been increased research interest in searching for analytical solutions for the advection–diffusion equation (ADE). By analytical we mean that no approximation is done along the derivation of the solution. There exists a significant literature regarding this theme. For illustration we mention the works of (Rounds 1955; Smith 1957; Scriven, Fisher 1975; Demuth 1978; van Ulden 1978; Nieuwstadt, de Haan 1981; Tagliazucca et al. 1985; Tirabassi 1989; Tirabassi, Rizza 1994; Sharan et al. 1996; Lin, Hildemann 1997; Tirabassi 2003). We note that in these works all solutions are valid for very specialized problems having specific wind and eddy diffusivities vertical profiles. Further, also in the literature there is the ADMM (Advection Diffusion Multilayer Method) approach which solves the two-dimensional ADE with variable wind profile and eddy diffusivity coefficient (Moreira et al. 2006). The main idea relies on the discretization of the Atmospheric Boundary Layer (ABL) in a multilayer domain, assuming in each layer that the eddy diffusivity and wind profile take averaged values. The resulting advection–diffusion equation in each layer is then solved by the Laplace transformation technique. For more details about this methodology see the review work done by (Moreira et al. 2006). We are also aware of the recent work of (Costa et al. 2006), dubbed as GIADMT method (Generalized Integral Advection Diffusion Multilayer Technique), which presented a general solution for the time-dependent three-dimensional ADE, again assuming the stepwise approximation for the eddy diffusivity coefficient and wind profile and proceeding further in similar way according the previous work. To avoid this approximation, in this work we report an analytical general solution for this problem, assuming that the eddy diffusivity coefficient and wind profile are arbitrary functions having a continuous dependence on the vertical and longitudinal variables. Without losing generality we specialize the application in micrometeorology, specially for the problem of simulation of contaminant releasing in the ABL.


Archive | 2010

A Closed-Form Formulation for Pollutant Dispersion in the Atmosphere

Camila Pinto da Costa; M.T. Vilhena; T. Tirabassi

Transport and diffusion models of air pollution are based either on simple techniques, such as the Gaussian approach, or on more complex algorithms, such as the K-theory differential equation. The Gaussian equation is an easy and fast method, which, however, cannot properly simulate complex nonhomogeneous conditions. The K-theory can accept virtually any complex meteorological input, but generally requires numerical integration, which is computationally expensive and is often affected by large numerical advection errors. Conversely, Gaussian models are fast, simple, do not require complex meteorological input, and describe the diffusive transport in an Eulerian framework, making easy use of the Eulerian nature of measurements.


Archive | 2010

An Analytical Solution for the Transient Two-Dimensional Advection–Diffusion Equation with Non-Fickian Closure in Cartesian Geometry by the Generalized Integral Transform Technique

Daniela Buske; M.T. Vilhena; Davidson Martins Moreira; T. Tirabassi

Analytical solutions of equations are of fundamental importance in understanding and describing physical phenomena, since they are able to take into account all the parameters of a problem and investigate their influence. In a recent work, [Bus07] reported an analytical solution for the stationary two-dimensional advection–diffusion equation with Fickian closure by the Generalized Integral Laplace Transform Technique (GILTT). The main idea of this method consists of: construction of an auxiliary Sturm–Liouville problem, expansion of the contaminant concentration in a series in terms of the obtained eigenfunctions, replacement of the expansion in the original equation, and finally after taking moments, resulting a set of ordinary differential equations which are then solved analytically by the Laplace transform technique.


Atmospheric Environment | 2005

A new analytical approach to simulate the pollutant dispersion in the PBL

S. Wortmann; M.T. Vilhena; Davidson M. Moreira; Daniela Buske


Atmospheric Research | 2009

The state-of-art of the GILTT method to simulate pollutant dispersion in the atmosphere

Davidson M. Moreira; M.T. Vilhena; Daniela Buske; Tiziano Tirabassi


Atmospheric Environment | 2005

Near-source atmospheric pollutant dispersion using the new GILTT method

Davidson M. Moreira; M.T. Vilhena; T. Tirabassi; Daniela Buske; R. Cotta


Atmospheric Environment | 2006

The GILTT solution of the advection-diffusion equation for an inhomogeneous and nonstationary PBL

Davidson M. Moreira; M.T. Vilhena; Daniela Buske; T. Tirabassi


Atmospheric Environment | 2006

Semi-analytical solution of the steady three-dimensional advection-diffusion equation in the planetary boundary layer

Camila P. Costa; M.T. Vilhena; Davidson M. Moreira; T. Tirabassi


Atmospheric Environment | 2005

Semi-analytical model for pollution dispersion in the planetary boundary layer

Davidson M. Moreira; Umberto Rizza; M.T. Vilhena; Antonio Goulart


Atmospheric Research | 2008

A semi-analytical solution for the three-dimensional advection–diffusion equation considering non-local turbulence closure

M.T. Vilhena; Camila P. Costa; Davidson M. Moreira; Tiziano Tirabassi

Collaboration


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Daniela Buske

Universidade Federal do Rio Grande do Sul

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Davidson M. Moreira

Universidade Luterana do Brasil

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Gervásio Annes Degrazia

Universidade Federal de Santa Maria

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Tiziano Tirabassi

Universidade Federal do Rio Grande do Sul

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T. Tirabassi

National Research Council

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A. Goulart

Universidade Federal do Pampa

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Antonio Goulart

Universidade Federal de Santa Maria

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Camila P. Costa

Universidade Federal do Rio Grande do Sul

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Osvaldo L. L. Moraes

Universidade Federal de Santa Maria

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Otávio Costa Acevedo

Universidade Federal de Santa Maria

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