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Abstract:

A dispersion model for continuous releases of pollutants in the atmospheric boundary layer is applied to study the influence on modelled concentrations of different estimates of the key micrometeorological variables that represent the dispersion processes. The modelling approach is based on the advection-diffusion equation and includes profiles of wind and eddy diffusivity for the entire atmospheric boundary layer. Their functional forms depend on relevant parameters that represent the turbulent mechanisms in a wide range of stabilities. The Prairie Grass experiments were considered for the evaluation. The model performed satisfactorily in the estimation of the near surface crosswind integrated concentrations. The distinct micrometeorological parameters caused, in general, minor differences in the concentrations. However, a greater impact was found during very stable or unstable conditions. In consequence, in these particular situations, the methodologies to obtain the micrometeorological parameters must be carefully analysed. Copyright © 2014 Inderscience Enterprises Ltd.

Registro:

Documento: Artículo
Título:Evaluation of the influence of micrometeorological data on concentration estimates
Autor:Ulke, A.G.
Filiación:Departamento de Ciencias de la Atmósfera Y Los Océanos, Facultad de Ciencias Exactas Y Naturales, Universidad de Buenos Aires, Buenos Aires, C1428EGA, Argentina
Instituto Franco Argentino Sobre Estudios de Clima Y Sus Impactos, Unidad Mixta Internacional, (IFAECI)/CNRS, Argentina
Palabras clave:Air pollution modelling; Dispersion model; Model evaluation; Prairie grass; Advection; Atmospheric boundary layer; Atmospheric movements; Advection-diffusion equation; Air pollution modelling; Crosswind integrated concentrations; Dispersion modeling; Model evaluation; Prairie Grass; Turbulent mechanism; Unstable conditions; Air pollution; airflow; boundary layer; concentration (composition); data acquisition; dispersivity; estimation method; micrometeorology; parameterization; pollution monitoring; prairie; turbulence; air pollution; Article; boundary layer; dispersion; meteorology; methodology; prairie
Año:2014
Volumen:55
Número:1-4
Página de inicio:113
Página de fin:119
DOI: http://dx.doi.org/10.1504/IJEP.2014.065911
Título revista:International Journal of Environment and Pollution
Título revista abreviado:Int. J. Environ. Pollut.
ISSN:09574352
CODEN:IJVLE
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09574352_v55_n1-4_p113_Ulke

Referencias:

  • Barad, M.L., Project prairie grass: A field program in diffusion (1958) Geophys. Res. Paper No. 59 (II) TR-58-235, , Air Force Cambridge Research Centre, USA
  • Berkowicz, R., Prahm, L.P., Evaluation of the profile method for estimation of surface fluxes of momentum and heat (1982) Atmospheric Environment, 16 (12), pp. 2809-2819
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  • Hanna, S.R., Hansenb, O.R., Dharmavaram, S., FLACS CFD air quality model performance evaluation with Kit Fox, MUST, Prairie Grass, and EMU observations (2004) Atmospheric Environment, 38 (28), pp. 4675-4687
  • Holtslag, A.A.M., Nieuwstadt, F.T.M., Scaling the atmospheric boundary layer (1986) Boundary-Layer Meteorology, 36 (1-2), pp. 201-209
  • Kumar, P., Sharan, M., Parameterization of the eddy diffusivity in a dispersion model over homogeneous terrain in the atmospheric boundary layer (2012) Atmospheric Research, 106, pp. 30-43. , March
  • Pérez Guerrero, J.S., Pimentel, L.C.G., Oliveira-Júnior, J.F., Heilbron Filho, P.F.L., Ulke, A.G., A unified analytical solution of the steady-state atmospheric diffusion equation (2012) Atmospheric Environment, 55, pp. 201-212. , August
  • Ulke, A.G., New turbulent parameterization for a dispersion model in the atmospheric boundary layer (2000) Atmospheric Environment, 34 (7), pp. 1029-1042
  • Venkatram, A., The role of meteorological inputs in estimating dispersion from surface releases (2004) Atmospheric Environment, 38 (16), pp. 2439-2446

Citas:

---------- APA ----------
(2014) . Evaluation of the influence of micrometeorological data on concentration estimates. International Journal of Environment and Pollution, 55(1-4), 113-119.
http://dx.doi.org/10.1504/IJEP.2014.065911
---------- CHICAGO ----------
Ulke, A.G. "Evaluation of the influence of micrometeorological data on concentration estimates" . International Journal of Environment and Pollution 55, no. 1-4 (2014) : 113-119.
http://dx.doi.org/10.1504/IJEP.2014.065911
---------- MLA ----------
Ulke, A.G. "Evaluation of the influence of micrometeorological data on concentration estimates" . International Journal of Environment and Pollution, vol. 55, no. 1-4, 2014, pp. 113-119.
http://dx.doi.org/10.1504/IJEP.2014.065911
---------- VANCOUVER ----------
Ulke, A.G. Evaluation of the influence of micrometeorological data on concentration estimates. Int. J. Environ. Pollut. 2014;55(1-4):113-119.
http://dx.doi.org/10.1504/IJEP.2014.065911