Stability behavior and the atmospheric mixing height layer in Santa Lucia
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Abstract
The study was carried out in the community of Santa Lucia in the province of Pinar del Río, Cuba in the 2013-2017 period, where the behavior of the stability and average height of the atmospheric mixture layer was analyzed. To determine the atmospheric stability categories, the classification was applied according to the length of Monin-Obukhov. The method used to determine the average height of the atmospheric mixture layer, was based on the procedure established in the AERMET weather preprocessor, with some modifications made, because it did not have surveys of the upper atmosphere. The results show the behavior of the hourly and monthly variation of the stability and average height of the atmospheric mixture layer. It was determined that the best conditions for the dispersion of pollutants in the atmosphere occur in the summer months and in the daytime hours, mainly at 17 hours.
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Rodríguez-ValdésD., González-JaimeY., Cuesta-SantosO., & Sánchez-DíazA. (1). Stability behavior and the atmospheric mixing height layer in Santa Lucia. Revista Cubana De Meteorología, 26. Retrieved from http://rcm.insmet.cu/index.php/rcm/article/view/541
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Weil, J. C. 1985. Updating applied diffusion models. Journal of Applied Meteorology, 24(11): 1111-1130.
Batchvarova, E.;Gryning, S. E. 1991.Applied model for the growth of the daytime mixed layer. Boundary Layer Meteorology, 56: 261-274.
EPA. 1995. User’s Guide for the Industrial Source Complex (ISC3) Dispersion Models,42 p., EPA-454/B-95-003a.
EPA. 2004. AERMOD. Description of model formulation, 91 p., EPA-454/R-03-004.
Gill, A. E. 1982. Atmospheric-Ocean Dynamics. Academic Press, 54 p.
González, Y. 2013. MLHASC Mixing Layer Heigth and Atmospheric Stability Condition. Instituto de Meteorología (INSMET), La Habana, Cuba.
Gryning, S. E. et al. 2007.On the extension of the wind over homogeneous terrain beyond the surface layer. Boundary-Layer Meteorology, 24: 251-262.
Hayes, S. R.;Moore, G. E. 1986. Air quality model performance: a comparative analysis of 15 model evaluation studies. Atmospheric Environment, 20: 1897-1911.
Izumi, Y. 1971. Kansas 1968 Field Program Data Report. No. 379, AFCRL-72-0041, Air Force Cambridge Research Laboratory, Bedford, MA, 79 p.
Monin, A. S.;Obukhov M. 1954. Basic laws of turbulent mixing in the ground layer of the atmosphere. Akad. Nauk. SSSR, Geofiz. Inst. Tr., 151:163-187.
Nieuwstadt, F. T. M.;Dop H. Van. 1982.Atmospheric Turbulence and Air Pollution Modelling. Reidel, 35 p.
PasquilL, F. 1961. The estimation of the dispersion of wind-borne material. Meteorological Magazine, 90: 33-49.
Pasquill, F.;Smith F. R. 1983. Atmospheric Diffusion. John Wiley and Sons Inc., New York, 440 p.
Rodríguez, D. 2007. Sistema Automatizado de Gestión de Información de Fuentes Contaminantes (SAGIFC). Publicación electrónica del IV Congreso Cubano de Meteorología.La Habana, Centro de Convenciones Capitolio, Cuba, pp. 7-18,ISBN: 978-959-7167-12-9.
Rodríguez, D.; Echevarria, L.; Cuesta, O.; Sánchez, A.; Díaz, J. M.; Vargas, R. 2008. Resultados preliminares de cálculo de la altura de la capa de mezcla a través del uso del Global Forescast System. Convención Trópico 2008, pp. 59-71, ISBN: 978-959-282-079-1.
Rodríguez, D.; Echevarria, L.; Sánchez, A.; Cuesta, O. 2012ª.Estudio de variables meteorológicas secundarias que intervienen en la difusión de contaminantes atmosféricos. Caso de estudio ciudad de Pinar del Río. Revista Cubana de Meteorología, 18(1): 35-50.
Rodríguez, D.; Echevarria, L.; Sánchez, A.; Cuesta, O.; Gato, A. L. 2012b. Estudio de variables meteorológicas secundarias que intervienen en la difusión de contaminantes atmosféricos. Caso de estudio la comunidad de Santa Lucía. Revista Cubana de Meteorología, 18(2): 77-92.
Rodríguez, D.; Arely, Q.; González, Y.; Cuesta, O.; Sánchez, A. 2015.Variación de la estabilidad y altura de la capa de mezcla en la ciudad de Pinar del Río: su relación con condiciones sinópticas. Revista Brasileira de Meteorología, 30(1): 1 - 15.
Smith, M. E. 1984. Review of the attributes and performance of 10 rural diffusion models. Bulletin of the American Meteorological Society, 65: 554-558.
Thomson, D. J. 2000. The meteorological input module, ADMS 3 Technical Specification. Cambridge Environmental Research Consultants, 116 p.
Turner, D. B. 1964. A difusión model for an urbana rea. Journal of Applied Meteorology, 3: 83-91.
Turtós, L.; Roque, A.; Soltura, R.; Sánchez, M. 2003. “Metodología de estimación de variables meteorológicas secundarias para modelos de dis persión de contaminantes atmosféricos”. Contri bución a la Educación y la Protección Ambiental, pp. 32-45, ISBN: 959-7136-20-1: 266-277.
Turtós, L.; Rivero, J.; Curbelo, L.; Gácita, M. S.; Meneses, E.; Díaz,N. 2009.Method for the estimation of the convective mixing height aimed to atmospheric local dispersion modeling. Aprobado para publicar como capítulo del libro “Environmental Impact Assessments.”, ISBN: 978-1-60692-667-3, Nova Science Publishers, Inc.
Turtós, L. 2012. Implementación de modelos refinados de dispersión local de contaminantes atmosféricos emitidos por fuentes estacionarias. Tesis en opción al grado de Doctor en Ciencias Meteorológicas, Instituto de Meteorología, La Habana, 162 p.
Venkatram, A. 1988. Dispersion in the stable boundary layer. Lectures on Air Pollution Modeling. Journal of Climate, 1: 229-265,
Venkatram, A.; Wyngaard, J. C. 1988. Lectures on Air Pollution Modeling. Journal of Climate, 390 p.
Weil, J. C. 1988. Dispersion in the convective boundary layer. Lectures on Air PollutionModeling. Journal of Climate, 1: 167-227.
Weil, J. C. 1985. Updating applied diffusion models. Journal of Applied Meteorology, 24(11): 1111-1130.