Data/hora: 03/06/2024 01:00:11

Provedor de dados: 	Revista Brasileira de Engenharia Agrícola e Ambiental	
País: 	Brazil	
Título: 	Using multi-parameters distributions to assess the probability of occurrence of extreme rainfall data	
Autores: 	Blain,Gabriel C.; Meschiatti,Monica C.	
Data: 	2014-03-01	
Ano: 	2014	
Palavras-chave: 	Wakeby; Kappa; Climate trend.	
Resumo: 	Soil erosion, soil saturation and floods are frequently associated with extreme rainfall events. Thus, the scientific literature agrees on the need to carry out studies that improve the assessment of the probability of occurrence of extreme rainfall values. The main goal of this study was to compare the performance of the multi-parameters distributions Wakeby, Kappa and Generalized Extreme Value in fitting the annual maximums of daily, 2-day and 3-day rainfall amounts obtained from the weather station of Campinas, located in the State of São Paulo, Brazil (1890-2012). As a secondary aim, the presence of climate trends and serial correlation in these series was also evaluated. The auto-correlation function and the Mann-Kendall tests have shown the presence of no serial correlation and climate trends in the above mentioned series. The results obtained from goodness-of-fit procedures allowed us to conclude that the Kappa and the Generalized Extreme Value distributions present the best performance in describing the probabilistic structure of the series under analysis.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662014000300010	
Editor: 	Departamento de Engenharia Agrícola  - UFCG	
Relação: 	10.1590/S1415-43662014000300010	
Formato: 	text/html	
Fonte: 	Revista Brasileira de Engenharia Agrícola e Ambiental  v.18 n.3 2014	
Fonte: 	info:eu-repo/semantics/openAccess