Comparison of Probability Distribution Function in Determining Minimum Annual and Monthly Streamflow

Authors

  • Nícolas Reinaldo Finkler Universidade de Caxias do Sul
  • Ludmilson Abritta Mendes Universidade Federal de Sergipe
  • Erwin Henrique Menezes Schneider Universidade Federal de Sergipe
  • Taison Anderson Bortolin Universidade de Caxias do Sul
  • Vania Elisabete Schneider Universidade de Caxias do Sul

DOI:

https://doi.org/10.18226/23185279.v3iss2p42

Abstract

In this study it was aimed to provide the foundation studies of water availability in the Arroio Belo basin, in Caxias do Sul/RS. Therefore, this study aimed to analyze the application of Weibull, Normal, LogNormal, Gumbel (minimum), LogPearson and Pearson theoretical probability functions to data of minimum streamflows for seven consecutive days of the basin. The analysis had two approaches: application in annual data, and then on monthly data, considering seasonality. To verify the adherence to the estimated probabilities of observed frequencies, we applied three tests: Kolmogorov-Smirnov, Anderson-Darling and Chi-Squared. The results show that the Log-Pearson III distribution shows greater accuracy in representing the annual data of the series and reach the best fit of the minimum streamflow. The monthly data analysis indicated the use of the distribution Pearson III, which showed higher suitability to the minimum streamflow data.

 

http://dx.doi.org/10.18226/23185279.v3iss2p42

Author Biographies

Nícolas Reinaldo Finkler, Universidade de Caxias do Sul

Instituto de Saneamento Ambiental

Taison Anderson Bortolin, Universidade de Caxias do Sul

Instituto de Saneamento Ambiental

Vania Elisabete Schneider, Universidade de Caxias do Sul

Instituto de Saneamento Ambiental

Published

2015-10-25

How to Cite

Finkler, N. R., Mendes, L. A., Schneider, E. H. M., Bortolin, T. A., & Schneider, V. E. (2015). Comparison of Probability Distribution Function in Determining Minimum Annual and Monthly Streamflow. Scientia Cum Industria, 3(2), 42–49. https://doi.org/10.18226/23185279.v3iss2p42

Issue

Section

Science, Education and Engineering