Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/13210
Title: Distribuição de probabilidades para precipitação máxima diária na Bacia Hidrográfica do Rio Verde, Minas Gerais
Other Titles: Probability distributions for maximum daily rainfall in the watershed of Rio Verde, Minas Gerais, Brazil
Keywords: Eventos extremos
Estimativa de parâmetros
Inferência estatística
Testes de aderência
Precipitação - Probabilidade
Extreme events
Parameter estimation
Statistical inference
Statistical tests
Precipitation - Probability
Issue Date: Jul-2014
Publisher: Universidade Federal de Campina Grande
Citation: FRANCO. C. S. et al. Distribuição de probabilidades para precipitação máxima diária na Bacia Hidrográfica do Rio Verde, Minas Gerais. Revista Brasileira de Engenharia Agrícola e Ambiental, Campina Grande, v. 18, n. 7, p. 735-741, July 2014.
Abstract: Probabilistic estimates of extreme events are much relevant for the planning of human activities. Thus, probability distributions enable the estimation of maximum annual daily precipitation events, associated with their respective frequencies. The aim of this study was to identify, among the Gumbel distribution, Gamma at 2 parameters and the Generalized Extreme Value (GEV), which is the most suitable to be used on historical series of annual maximum daily rainfall in the Rio Verde basin in Southern Minas Gerais. The parameters of each distribution were estimated by the methods of moments, maximum likelihood and L-moments. For this, eight rainfall stations were used with historical series of at least 20 years distributed over the watershed. By statistical tests as the Kolmogorov-Smirnov, Chi-square, Anderson Darling and Filiben test, the Gumbel distribution obtained the least appropriate adjustments. The GEV distribution by L-moments method was the most appropriate for probabilistic analysis of annual daily extreme precipitation events in the Rio Verde basin and should be prioritized for planning in the region.
Description: Embora a revista e o correspondente artigo constem no Scielo como acesso por Creative Commons, essa licença não é claramente especificada no site da revista, e também não consta do site Sherpa/Romeo (embora este relacione a revista como acesso aberto DOAJ). Assim, consideramos aqui no RIUFLA esse artigo como de acesso restrito, provendo o acesso pelo site da revista.
URI: http://www.agriambi.com.br/revista/v18n07/v18n07a10.pdf
http://repositorio.ufla.br/jspui/handle/1/13210
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