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| 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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| Damé,Rita de C. F; Teixeira-Gandra,Claudia F. A.; Guedes,Hugo A. S.; Silva,Gisele M. da; Silveira,Suélen C. R. da. |
| ABSTRACT This study aimed to investigate information gain by using rainfall intensity-duration-frequency (IDF) relationships, with data gathered within N+M years from seven rain gauge stations located in the Lagoa Mirim Watershed (South Atlantic basin). After N years of daily rainfall, the transition probabilities of a time homogeneous two-state Markov chain were defined to simulate rainfall occurrence, as well as gamma distribution to measure it; for that, daily rainfall series were composed of N+M years, with M being the generated series. The series were adjusted to Gumbel distribution, being used in annual maximum daily rainfall disaggregation for durations of 10, 20, 30, 40, 50, 60, 120, 360, 720 and 1440 min. Daily rainfall disaggregation was... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Intense rainfall; Hydrologic modeling; Pluviographic records; Hydrological series. |
| Ano: 2016 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162016000300492 |
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| FIETZ, C. R.; COMUNELLO, E.; CREMON, C.; DALLACORT, R.; PEREIRA, S. B.. |
| O objetivo deste trabalho foi determinar a probabilidade de ocorrência de chuvas intensas no Estado de Mato Grosso. Séries com os valores máximos anuais da precipitação de um dia de 151 postos pluviométricos de Mato Grosso foram ajustadas à Distribuição de Gumbel. Os parâmetros da distribuição foram estimados pelo método de máxima verossimilhança. Houve ajuste de todas as séries de intensidade máxima anual à distribuição Gumbel, de acordo com o teste Kolmogorov-Smirnov. Através das distribuições ajustadas foram calculados os valores de precipitação máxima de 1 dia para períodos de retorno de 2, 3, 4, 5, 10, 15, 20 e 50 anos. Utilizando o método de desagregação de chuvas, estimou-se a precipitação máxima com duração de 5, 10, 15, 20, 25, 30 minutos e 1, 6,... |
| Tipo: Livros |
Palavras-chave: Probabilidade; Mato Grosso; Intense rainfall; Precipitation; Gumbel distribution; Chuva. |
| Ano: 2010 |
URL: http://www.infoteca.cnptia.embrapa.br/infoteca/handle/doc/866618 |
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