Modelagem da circulação atmosférica na região da usina termoelétrica de Candiota

Authors

  • Rita de Cássia Marques Alves Departamento de Ciências Atmosféricas, Universidade de São Paulo - USP, São Paulo, SP.
  • Maria Assunção Faus da Silva Dias Departamento de Ciências Atmosféricas, Universidade de São Paulo - USP, São Paulo, SP.
  • Osvaldo Luiz Leal de Moraes Departamento de Física, Centro de Ciências Naturais e Exatas - CCNE Universidade Federal de Santa Maria - UFSM, Santa Maria, RS.

DOI:

https://doi.org/10.5902/2179460X36903

Abstract

In this paper it is used the Regional Atmospheric Modeling System (RAMS) in order to simulate the atmospheric circulation around the Candiota Thermoelectric Power Plant. Two numerical experiments are showed. The first one describes the sensitivity of the model to the local topography. In the second one the model is initialized with data from CPTEC/INPE and the results are compared with data obtained in fields campaigns. This comparison indicates that the RAMS outputs are an useful tools to be used in atmospheric dispersion models to describe the pollutant transport emitted by the Candiota source.

Downloads

Download data is not yet available.

References

Avissar R. and F. Chen (1993). Development and Analysis of Prognostic Equations for Mesoescale Kinetic Energy and Mesoescale (Subgrid Scale) Fluxes for Large-Scale Atmospheric Models, Journal of the Atmospheric Sciences, 50, 3751- 3774.

Clark, T. L., (1977) A small-scale dynamic model using a terrain-following coordinate transformation. J. Comp. Phys., 24, pp. 186-215.

Chen, C., and W. R. Cotton (1983) A One-Dimensional Simulation of the Stratocumulus-Capped Mixed Layer. Boundaty Layer Meteorology, 25, pp. 289-321.

Cotton, W. R., Tripoli, G. J. (1978). Cumulus convection in Shear Flow - Three-Dimensional Numerical Experiments. J. Atmos. Sci., 35, 1503-1521.

McCumber, M. C., and R. A. Pielke (1981). Simulation of the Effects of the Surfece Fluxes of Heat and Moisture in a Mesoescale Numerical Model. Part I: Soil Layer. J. Geophys+. Res., 86, pp. 9929-9938.

Moraes, O L. L., Oliveira, A P., Neto, E. C. e Degrazia, G.A., Air Pollution: The Candiota Field Program, 125pp (1996)

Moraes, O. L. L. (2000), Turbulence Characteristics in the Surface Boundary Layer over the South America Pampa, aceito para publicação na Boundary Layer Meteorology.

Pielke, R. A., Cotton, W. R., Walko L. R., Tremback C. J., Lyons W. A., Grasso L. D., Nicholls M. E., Moran M. D., Wesley D. A., Lee T. J., Copeland J. H., (1992). A Comprehensive Meteorological Modeling System - RAMS. Meteorological Atmos. Phys. 69-90.

Silva Dias, P., comunicação pessoal (1999).

Smagorinsky, J. (1963). General Circulation Experiments with the Primitive Equations. 1: The Basic Experiment. Mon. Weather Rev., 91, pp. 99-164

Stull, R.B., 1988: An Introduction to Boundary Layer Meteorology, Kluwer Academic Publishers, Dordrecht, Holanda.

Tremback, C. J., J. Powell, W. R. Cotton and R. Pielke (1987). The Forward-in-Time Upstream Scheme: Extension to Higher Orders. Mon. Wea. Rev., 115, pp. 540-555

Tremback, C. J., and R. Kessler (1985). A Surfece Temperature and Moisture Parametrization for use in Mesoescale Nemerical Models. Preprints, 7 th. Conference on Numerical Weather Prediction, Montral, Canada, MAS, 17-20 June 1985.

Tremback, C. J., (1990). Numerical Simulation of a Mesoescale Convective Complex: Model Development and Numerical Results. Department of Atmospheric Science. Colorado State University.

Tripoli, G. J. and W. R. Cotton (1980). A Numerical Investigation of Several Factors Leading to the Observed Variable Intensity of Deep Convection over South Florida. J. Appl. Meteor., 19, 1037-1063.

Tripoli, G. J. and W. R. Cotton (1982). The Colorado State University Tree-Dimensional Cloud / Mesoescale Model. Parte I: General Theorical Framework and Sensitivity Experiments. J. Recherches Atmos., 16, pp. 186-219.

Published

2000-01-14

How to Cite

Alves, R. de C. M., Dias, M. A. F. da S., & Moraes, O. L. L. de. (2000). Modelagem da circulação atmosférica na região da usina termoelétrica de Candiota. Ciência E Natura, 93–111. https://doi.org/10.5902/2179460X36903

Most read articles by the same author(s)

<< < 1 2