Rainfall data adjustment to Volta Redonda macro-region
DOI:
https://doi.org/10.18011/bioeng.2022.v16.1177Keywords:
agrometeorology, hidrology, rainfallAbstract
Most Brazilian cities do not have a proper water and soil management system due to lack of planning in this sector and of an easy-consultation local-hydrological bibliography capable of reinforcing the future creation of a hydrological modeling. Volta Redonda macro-region's case can be added to this statistics, since it accounts for several natural hazards linked to floods and inundations in some specific locations. The aims of the present study are to descriptively analyze monthly rainfall data generated by CEMADEN's rainfall gauges and to assess whether monthly rainfall in the region adapts well to probability Gamma Distribution plots. Rainfall data from four points in Volta Redonda, Barra Mansa and Pinheiral cities, recorded for 48 months, and provided by CEMADEN, were used in the study. Gamma Distribution was adjusted to monthly rainfall data. In conclusion, the probability of having a given monthly rainfall value lower than, or equal to, that recorded for the Pinheiral – Volta Redonda – Barra Mansa conurbation area can be estimated through Gamma Distribution. Values recorded for shape (γ) and scale (β) parameters of Volta Redonda macro-region's municipalities were 1.59 and 79.30, on average, respectively.
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Assis, J.P., Dias, C.T.S., Silva, A.R., & Dourado Neto, D. (2016). Estatística descritiva. FEALQ.
Assis, F.N., Arruda, H.V., & Pereira, A.R. (1996). Aplicações de estatística a climatologia. Editora UFPel.
Birnbaum, Z.W. (1952). Numerical tabulation of the distribution of Kolmogorov's statistic for finite sample size. Journal of the American Statistical Association, 47(259), 425-441. https://doi.org/10.2307/2281313 DOI: https://doi.org/10.1080/01621459.1952.10501182
Botelho, V.A.V.A., & Morais, A.R. (1999). Estimativas dos parâmetros da Distribuição Gama de dados pluviométricos do município de Lavras, Estado de Minas Gerais. Ciência e Agrotecnologia, 23(3), 697-706.
Coan, B.P., Back, A.J., & Bonetti, A.V. (2015). Precipitação mensal e anual provável no Estado de Santa Catarina. Revista Brasileira de Climatologia, 15(2), 122-142. http://dx.doi.org/10.5380/abclima.v15i0.38348 DOI: https://doi.org/10.5380/abclima.v15i0.38348
Choi, Y., Kang, J., & Kim, J. (2021). Urban flood adaptation planning for local governments: Hydrology analysis and optimization. International Journal of Disaster Risk Reduction, 59(2), 102213. https://doi.org/10.1016/j.ijdrr.2021.102213 DOI: https://doi.org/10.1016/j.ijdrr.2021.102213
Diaz, A.J.A., Justino, F., Lindemann, D.S., Rodrigues, J.M., & Ferreira, G.R. (2020). Climatological aspects and changes in temperature and precipitation extremes in Viçosa-Minas Gerais. Anais da Academia Brasileira de Ciências, 92(2), 1-5. https://doi.org/10.1590/0001-3765202020190388 DOI: https://doi.org/10.1590/0001-3765202020190388
Dourado Neto, D., Assis, J.P., Timm, L.C., Manfron, P.A., Sparovek, P., & Martin, T.N. (2005). Ajuste de modelos de distribuição de probabilidade a séries históricas de precipitação pluvial diária em Piracicaba-SP. Revista Brasileira de Agrometeorologia, 13(2), 273-283.
Freitas, A.A., Oda, P.S.S., Teixeira, D.L.S., Silva, P.N., Mattos, E.V., Bastos, I.R., Nery, T.D., Metodiev, D., Santos, A.P.P., & Gonçalves, W.A. (2022). Meteorological conditions and social impacts associated with natural disaster landslides in the Baixada Santista region. Urban Climate, 42(1), 1-22. https://doi.org/10.1016/j.uclim.2022.101110 DOI: https://doi.org/10.1016/j.uclim.2022.101110
Keys, P.W., & Erlandsson, L.W. (2018). On the social dynamics of moisture recycling. Earth System Dynamics, 9(3), 829-847. https://doi.org/10.5194/esd-9-829-2018 DOI: https://doi.org/10.5194/esd-9-829-2018
Marengo, J.A., Alves, L.M., Ambrizzi, T., Young, A., Barreto, N.J.C., & Ramos, A.M. (2020). Trends in extreme rainfall and hydrogeometeorological disasters in the Metropolitan Area of São Paulo: a review. Annals of the New York Academy of Sciences, 1472(1), 5-20. https://doi.org/10.1111/nyas.14307 DOI: https://doi.org/10.1111/nyas.14307
Morais, A.R., Botelho, V.A.V.A., Carvalho, L.G., Muniz, J.A., & Lage, G. (2001). Estimativa de precipitação provável em Lavras (MG) através da distribuição gama. Revista Brasileira de Agrometeorologia, 9(2), 305-310.
Murta, R.M., Teodoro, S.M., Bonomo, P., & Chaves, M.A. (2005). Precipitação pluvial mensal em níveis de probabilidade pela distribuição gama para duas localidades do Sudoeste da Bahia. Ciência e Agrotecnologia, 29(5), 988-994. https://doi.org/10.1590/S1413-70542005000500011 DOI: https://doi.org/10.1590/S1413-70542005000500011
Silva, J.C., Heldwein, A.B., Martins, F.B., Trentin, G., & Grimm, E.L. (2007). Análise de distribuição de chuva para Santa Maria, RS. Revista Brasileira de Engenharia Agrícola e Ambiental, 11(1), 67–72. https://doi.org/10.1590/S1415-43662007000100009 DOI: https://doi.org/10.1590/S1415-43662007000100009
Sobrinho, S.P., Matos, V.A.T., Pereira, A.P.M.S., Pivetta, F., Seixas, G.B., & Campelo Junior, J.H. (2014). Determinação dos parâmetros da distribuição gama e média pluviométrica decendial para estações do estado de Mato Grosso. Revista Brasileira de Meteorologia, 29(2), 183-196. https://doi.org/10.1590/S0102-77862014000200004 DOI: https://doi.org/10.1590/S0102-77862014000200004
Ribeiro, D.F., Saito, S.M., & Alvalá, R.C.S. (2022). Disaster vulnerability analysis of small towns in Brazil. International Journal of Disaster Risk Reduction, 68(1), 1-28. https://doi.org/10.1016/j.ijdrr.2021.102726 DOI: https://doi.org/10.1016/j.ijdrr.2021.102726
Roccati, A., Paliaga, G., Luino, F., Faccini, F., & Turconi, L. (2020). Rainfall threshold for shallow landslides initiation and analysis of long-term rainfall trends in a Mediterranean Area. Atmosphere, 11(2), 1367-1396. https://doi.org/10.3390/atmos11121367 DOI: https://doi.org/10.3390/atmos11121367
Rodrigues, D.T., Gonçalves, W.A., Spyrides, M.H.C., Andrade, L.M.B., Souza, D.O., Araujo, P.A.A., Silva, A.C.N., & Santos e Silva, C.M. (2021). Probability of occurrence of extreme precipitation events and natural disasters in the city of Natal, Brazil. Urban Climate, 35(1), 1-13. https://doi.org/10.1016/j.uclim.2020.100753 DOI: https://doi.org/10.1016/j.uclim.2020.100753
Saito, S.M., Nogueira, F.R., Londe, L.R., Marchezini, V., Canil, K., & Rosa, F.C. (2021). Fortalecendo laços: cooperação intermunicipal para redução de risco de desastres Revista Brasileira de Gestão Urbana, 13(1), e20200403. https://doi.org/10.1590/2175-3369.013.e20200403 DOI: https://doi.org/10.1590/2175-3369.013.e20200403
Saito, S.M., & Souza, D.O. (2013). Sistema de monitoramento e alertas de desastres naturais: práticas e desafios. In L. A. Guasselli, G. G. Oliveira, R. C. M. Alves (Eds.), Eventos extremos no Rio Grande do Sul: inundações e movimentos de massa (pp. 179-192). CEMADEN.
Santos, L.F., & Garcia, S.R. (2016). Início e fim da estação chuvosa no Estado de Minas Gerais: comparação de duas metodologias diferentes. Revista Brasileira de Meteorologia, 31(1), 92-104. https://doi.org/10.1590/0102-778620150017 DOI: https://doi.org/10.1590/0102-778620150017
Santos, H.T., & Duarte, S.N. (2021). Heavy rainfall events in Volta Redonda. Irriga, 26(4), 801-813. https://doi.org/10.15809/irriga.2021v26n4p801-813 DOI: https://doi.org/10.15809/irriga.2021v26n4p801-813
Thom, H.C.S. (1958). A note onthegammadistribution. Monthly Weather Review, 86(4), 117-122. https://doi.org/10.1175/1520-0493(1958)086<0117:ANOTGD>2.0.CO;2 DOI: https://doi.org/10.1175/1520-0493(1958)086<0117:ANOTGD>2.0.CO;2
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