Analysis of rainfall in the municipality of Serra Talhada-PE and determination of the equation of intense rainfall through probabilistic distribution

Authors

DOI:

https://doi.org/10.51359/2238-6211.2023.257465

Keywords:

IDF equation, heavy rainfall, floods, Gumbel distribution

Abstract

The understanding of the maximum rainfall in a municipality is used, among other aspects, in the design of urban drainage systems, in hydraulic engineering projects and in the study of alternatives to reduce the impacts caused by heavy rains. One of the methods for calculating these rains is due to the determination of parameters of the Intensity-Duration-Frequency (IDF) equation, through the treatment of rainfall data making use of Gumbel probabilistic distribution. The municipality of Serra Talhada, located in the hinter country of Pernambuco, is bathed by the Pajeú River that has a floodplain that covers an area of the commercial zone of the city, which contributes to the damage caused when heavy rains occur, thus, the objective of this work is to determine the parameters of the IDF equation, capable of calculating heavy rainfall for return periods between 2 and 100 years. For this, a historical series of 50 years of rainfall data was used, where the parameter values were determined using the rain disaggregation method. The results found were k=989.995; m=0.2075; n=0.7847 and b=14.4. Thus, the equation obtained in this work has high reliability for determining the intense rains agreed with different return periods.

Author Biographies

Gustavo Ribeiro da Silva, Universidade Federal da Paraíba(UFPB)

Mestrando do Programa de Pós-Graduação em Engenharia Civil e Ambiental da Universidade Federal da Paraíba

Daniel Vitor Carvalho de Oliveira, Faculdade de Integração do Sertão(FIS)

Engenheiro Civil pela Faculdade de Integração do Sertão

Antônio Italcy de Oliveira Júnior, Universidade Federal de Pernambuco(UFPE)

Doutorando do Programa de Pós-Graduação em Engenharia Civil da Universidade Federal de Pernambuco

Ítalo Johnes de Carvalho, Universidade Federal da Paraíba(UFPB)

Mestrando do Programa de Pós-Graduação em Engenharia Civil e Ambiental da Universidade Federal da Paraíba

References

APAC. Agência Pernambucana de Águas e Clima. Monitoramento Pluviométrico. Recife. Disponível em https://www.apac.pe.gov.br/meteorologia/monitoramento-pluvio.php?posto_id=209. Acessado em 06/04/2020.

BIELENKI JÚNIOR, C.; BARBASSA, A. P.; MIRANDA, R. B. de; MAUAD, F. F. Determinação de curva intensidade-duração-frequência por meio do emprego do método paramétrico de ajustamento de observações. Revista Brasileira de Climatologia, v.19, p.146-167, 2016.

BOTELHO, M. H. C. Águas de chuva: Engenharia das águas pluviais nas cidades. São Paulo: Blucher, 2017.

CABRAL, J. J. S. P.; SANTOS, S. M. Água Subterrânea no Nordeste Brasileiro. Cap. 3 - O Uso Sustentável dos Recursos Hídricos em Regiões Semiáridas. Recife: Editora Universitária da UFPE, 2007.

CANHOLI, A. P. Drenagem urbana e controle de enchentes. São Paulo: Oficina de textos, 2014.

CPTEC. Centro de Previsão de Tempo e Estudos Climáticos. Monitoramento e previsão do fenômeno El-Niño e La-Niña. Cachoeira Paulista. Disponível em http://enos.cptec.inpe.br/. Acessado em 13/09/2020.

CETESB/ASCETESB. Companhia Ambiental de São Paulo. Drenagem Urbana – Manual de Projeto. São Paulo. 1986.

HARZALLAH, A.; ROCHA DE ARAGÃO, J. O.; SADOURNY R. Interannual rainfall variability in north-east Brazil: Observation and model simulation. International Journal of Climatology, v.6, p.861-878, 1996.

IBGE. Instituto Brasileiro de Geografia e Estatística. Cidades. Rio de Janeiro. Disponível em https://cidades.ibge.gov.br/brasil/pe/serra-talhada/panorama. Acessado em 10/08/2022.

LONGO, A. J.; SAMPAIO, S. C.; SUSZEK, M. Equação de chuvas intensas e precipitação provável para o município de Cascavel, PR. Revista Varia Scientia, v.6, n.11, p.119-127, 2006.

OLIVEIRA JÚNIOR, A. I. de; MARTINS, E. S.; COSTA, C. T. F. da; CALDAS, H. F. M. Análise da precipitação e determinação de equações de chuvas intensas para o município de Crato-CE situado no semiárido do Brasil. Revista Geama, v.5, n.3, p.56-65, 2019.

ROWINSKI, P. M.; STRUPCZEWSKI, W. G.; SINGH, V. P. A note on the applicability of logGumbel and log-logistic probability distributions in hydrological analyses. Hydrological Science Journal, v.47, n.1, p.107-122, 2002.

SILVA, B. B. da; FERREIRA, M. A. F.; SILVA, V. de P. R. da; FERREIRA, R. da C. Desempenho de modelo climático aplicado à precipitação pluvial do Estado de Pernambuco. Revista Brasileira de Engenharia Agrícola e Ambiental, v.14, n.4, p.387-395, 2010.

SILVA, V. de P. R.; SOUSA, F. de A. S.; CAVALCANTI, E. P.; SOUZA, E. P.; SILVA, B. B. da. Teleconnections between sea-surface temperature anomalies and air temperature in northeast Brazil. Journal of Atmospheric and Solar-Terrestrial Physics, v.68, p.781-792, 2006.

VILLELA, S. M.; MATTOS, A. Hidrologia aplicada. São Paulo: McGraw-Hill, 1975.

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Published

2023-04-27

How to Cite

Silva, G. R. da, Oliveira, D. V. C. de, Oliveira Júnior, A. I. de, & Carvalho, Ítalo J. de. (2023). Analysis of rainfall in the municipality of Serra Talhada-PE and determination of the equation of intense rainfall through probabilistic distribution. Geography Magazine, 40(1), 306–333. https://doi.org/10.51359/2238-6211.2023.257465

Issue

Vol. 40 No. 1 (2023): Revista de Geografia (Recife)

Section

Artigo Científico

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Copyright (c) 2023 Gustavo Ribeiro da Silva, Daniel Vitor Carvalho de Oliveira, Antônio Italcy de Oliveira Júnior, Ítalo Johnes de Carvalho

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