JWARP  Vol.7 No.10 , July 2015
Air Basins of Rio de Janeiro State, Brazil
Abstract: The air basin is a three-dimensional space which conducts and distributes winds over the catchment basins. In the state of Rio de Janeiro (43,305 km2), 48% of the territory comprises the Atlantic slopes (the windward side) and 52% (the leeward side) suffers the influence of the Atlantic Ocean. On the windward side, 20% of the area includes 16 air basins, which influence the movement of humid air currents, affecting all of the windward regions and environmentally conditioning the leeward areas. The morphometric parameters of these air basins have been characterized: area of influence upwind (4 parameters), slope (5 parameters), and distribution zone (5 parameters), and they are grouped together in 5 units by similar functional identity, utilizing multivariable analysis, cluster method, with a Euclidian distance of 48%, significance level of 95%, and correlation coefficient of 0.7132. The management of environmental services within the hydro-graphic basins where 16 million people live is conditioned by these air basins, which could have their environmental planning perfected by this knowledge.
Cite this paper: Barboza, R. , Valcarcel, R. , Santos, E. and Pereira, C. (2015) Air Basins of Rio de Janeiro State, Brazil. Journal of Water Resource and Protection, 7, 781-791. doi: 10.4236/jwarp.2015.710064.

[1]   Chen, T.C., Chen, J.M. and Pjaendtner, J. (1995) Low Frequency Variations in the Atmospheric Branch of the Global Hydrological Cycle. Journal of Climate, 8, 92-107.<0092:LFVITA>2.0.CO;2

[2]   Ahrens, C.D. (2006) Meteorology Today: An Introduction to Weather, Climate and the Environment. 8th Edition, Cengage Learning, Boston.

[3]   Holton, J.R. (1992) An Introduction to Dynamic Meteorology. 3rd Edition, Academic Press, San Diego.

[4]   Peixoto, J.P. and Oort, A.H. (1992) Physics of Climate. American Institute of Physics, New York.

[5]   Barry, R.G. and Chorley, R.J. (2010) Atmosphere, Weather and Climate. 9th Edition, Routledge, New York.

[6]   Pereira, N., Ribeiro, A.L. and D’incao, F. (2011) Influência dos Fenômenos ENOS na Ocorrência de Frentes Frias no Litoral Sul do Brasil. Ciência e Natura, UFSM, 33, 91-99.

[7]   Barbiére, E.B. and Kronemberger, D.M.P. (1994) Climatologia do litoral Sul-Sudeste do Estado do Rio de Janeiro. Cadernos de Geociências, Rio de Janeiro: FIBGE, 12, 57-73.

[8]   Liebmann, B.P.S.D.R., Carvalho, L.A.S. and Jones, C. (2011) Moisture, Transport and Intraseasonal Variability in the South América Mossoon System. Climate Dynamics, 36, 1865-1880.

[9]   Chaves, R.R., Mitra, A.K. and Krishnamurti, T.N. (2005) Seasonal Climate Prediction for South America with FSU Multi-Model Synthetic Superensemble Algorithm. Meteorology and Atmospheric Physics, 89, 37-56.

[10]   Figueroa, S.N. and Nobre, C.A. (1990) Precipitation Distribution over Central and Western Tropical South America. Climanálise, 5, 36-45.

[11]   Sun, D.Z. (2010) The Diabatic and Nonlinear Aspects of the El Niño—Southern Oscillation: Implications for Is Past and Future Behavior. In: Sun, D.Z. and Bryan, F., Eds., Climate Dynamics: Why Does Climate Vary? Geophysical Monograph Series, John Wiley and Sons Ltd., New York, 79-103.

[12]   Businger, S., Graziano, T.M., Kaplan, M.L. and Rozumalski, R.A. (2005) Cold-Air Cyclogenesis along the Gulf-Stream Front: Investigation of Diabatic Impacts on Cyclone Development, Frontal Structure, and Track. Meteorology and Atmospheric Physics, 88, 65-90.

[13]   Chen, S.H. and Lin, Y.L. (2005) Orographic Effects on a Conditionally Unstable Flow over an Idealized Three-Dimensional Mesoscale Mountain. Meteorology and Atmospheric Physics, 88, 1-21.

[14]   Cavelier, J., Solis, D. and Jaramilo, M.A. (1996) Fog Interception in Montane Forest across the Central Cordillera of Panamá. Journalof Tropical Ecology, 12, 357-369.

[15]   Oliveira, J.L.F., Santos, I.A., Rosas, R.O. and Landau, L. (2006) Bacia Aérea III: Uma Unidade de Gerenciamento da Qualidade do Ar da Região Metropolitana do Rio de Janeiro. Anais do 2ºCongresso Acadêmico sobre Meio Ambiente e Desenvolvimento, UFF/FGV, Niterói.

[16]   Weisburd, M.I. (1962) Air Pollution Control Field Operations Manual: A Guide for Inspection and Enforcement. US Department of Health, Education, and Welfare, Public Health Service, Division of Air Pollution, Washington DC.

[17]   Balbinot, R., Oliveira, N.K., Vanzetto, S.C., Pedroso, K. andValerio, A.F. (2008) O Papel da Floresta no Ciclo Hidrológico em Bacias Hidrográficas. Revista Ambiência, 4, 131-149.

[18]   Marques, J., Santos, J.M. and Salati, E.O. (1979) O Campo do Fluxo de Vapor D'água Atmosférico sobre a Região Amazônica. Acta Amazônica, 9, 701-713.

[19]   Whiteman, C.D. (2000) Mountain Meteorology: Fundamentals and Applications. Oxford University, New York.

[20]   Davis, E.G. and Naghettini, M.C. (2001) Estudo de chuvas intensas no Estado do Rio de Janeiro. Estudo Geoambiental de Estado do Rio de Janeiro. MME-CPRM, Brasília, 135 p.

[21]   Nimer, E. (1979) Climatologia do Brasil. SUPREN and IBGE, Rio de Janeiro.

[22]   Barboza, R.S. (2004) Interceptação Vertical na Serra do Mar do Rio de Janeiro, Nova Friburgo-RJ. Monograph (Degree in Forest Engineering), UFRRJ, Seropédica.

[23]   Thornthwaite, C.W. and Mather, J.R. (1955) The Water Balance. Drexel Institute of Technology—Laboratory of Climatology, Publications in Climatology, Centerton, 104 p.

[24]   Kjerfve, B., Ribeiro, C.H., Dias, G.T.M., Filippo, M. and Quaresma, V.S. (1997) Oceanographic Characteristics of an Impacted Coastal Bay: Baía de Guanabara, Rio de Janeiro, Brazil. Continental Shelf Research, 17, 1609-1643.

[25]   INMET (2009) Normais Climatológicas do Brasil 1961-1990. Organizadores: Andrea Malheiros Ramos, Luiz André Rodrigues dos Santos, Lauro Tadeu Guimarães Fortes. INMET, Brasília/DF, Brasil.

[26]   Pires, D.O. (2005) Inventário de Emissões Atmosféricas de Fontes Estacionárias e sua Contribuição para a Poluição do Ar na Região Metropolitana do Rio de Janeiro. Ph.D. Thesis, PPE/COPPE/UFRJ, 188 p.

[27]   IBGE (2011) Bases Cartográficas. Instituto Brasileiro de Geografia e Estatística.

[28]   FIDERJ (1978) Indicadores Climatológicos do Estado do Rio de Janeiro. Fundação de Desenvolvimento Econômico e Social do Rio de Janeiro, Rio de Janeiro, 156 p.

[29]   Sokal, R.R. and Rohlf, F.J. (1969) Biometry: The Principles and Practices of Statics in Biological Research. State University of New York, Stone Brook.

[30]   Valentin, J.L. (2000) Ecologia Numérica: Uma Introdução á Análise Multivariada de Dados Ecológicos. Editora Interciência, Rio de Janeiro.

[31]   Oksanen, J., Blanchet, F.G., Kindt, R., Legendre, P., Minchin, P.R., O’hara, R.B., Simpson, G.L., Solymos, P., Henry, M., Stevens, H. and Wagner, H. (2013) Vegan: Community Ecology Package. R Package Version 2.0-7.

[32]   R Core Team (2013) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna.

[33]   Barboza, R.S. (2007) Caracterização das Bacias Aéreas e Avaliação da Chuva Oculta nos Contrafortes da Serra do Mar — RJ. Master Degree, PPGCAF/UFRRJ, Seropédica.

[34]   Singh, R.P. (1987) Rainfall Interception by Pinus Wallichiana Plantation in Temperate Region of Himachal Pradesh, India. Indian Forester, 104, 559-566.