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Performance of the probability distribution models applied to heavy rainfall daily events 64
Marques,Rosângela Francisca de Paula Vitor; Mello,Carlos Rogério de; Silva,Antônio Marciano da; Franco,Camila Silva; Oliveira,Alisson Souza de.
Probabilistic studies of hydrological variables, such as heavy rainfall daily events, constitute an important tool to support the planning and management of water resources, especially for the design of hydraulic structures and erosive rainfall potential. In this context, we aimed to analyze the performance of three probability distribution models (GEV, Gumbel and Gamma two parameter), whose parameters were adjusted by the Moments Method (MM), Maximum Likelihood (ML) and L - Moments (LM). These models were adjusted to the frequencies from long-term of maximum daily rainfall of 8 rain gauges located in Minas Gerais state. To indicate and discuss the performance of the probability distribution models, it was applied, firstly, the non-parametric Filliben...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Probability distribution models; Intense rainfall; Statistical inference; Non-parametric statistical tests.
Ano: 2014 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542014000400003
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