Probability density functions for the estimation of monthly rainfall

Probability density functions for the estimation of monthly rainfall

Authors

  • Jailson Araujo Rodrigues Instituto Federal da Bahia-IFBA
  • Jaime dos Santos Filho Instituto Federal da Bahia - IFBA
  • Lucas Monteiro Chaves

DOI:

https://doi.org/10.5433/1679-0375.2013v34n1p3

Keywords:

Comparison of Models, Gamma Distribution, Lognormal Distribution, Weibull Distribution

Abstract

The objective of this work was to evaluate the potential of gamma, log-normal and Weibull distributions modeling of monthly precipitation in the city of Bento Gonçalves, Rio Grande do Sul. We used a series of monthly rainfall from January 2001 to December 2011. Adherence to the distributions of rainfall conditions was verified using the Kolmogorov-Sminorv test. The three distributions were adherent. However, the results indicated that the gamma model fit better rainfall conditions in the city of Bento Gonçalves.

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Author Biographies

Jailson Araujo Rodrigues, Instituto Federal da Bahia-IFBA

Doutorando UFLA, Professor 3º do IFBA, Dept de Educação, Área de C. Exatas

Jaime dos Santos Filho, Instituto Federal da Bahia - IFBA

Doutorando UFLA, Professor do IFBA, Campus Vitória da Conquista, Coordenação de Eletrônica

Published

2013-09-26

How to Cite

Rodrigues, J. A., dos Santos Filho, J., & Chaves, L. M. (2013). Probability density functions for the estimation of monthly rainfall. Semina: Ciências Exatas E Tecnológicas, 34(1), 3–8. https://doi.org/10.5433/1679-0375.2013v34n1p3

Issue

Section

Original Article

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