Precipitação pluviométrica mensal no Estado do Rio de Janeiro: Sazonalidade e tendência

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Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.contributorUniversidade Federal de Uberlândia (UFU)-
Autor(es): dc.contributorInstituto de Tecnologia-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorAraújo, Mirian Fernandes Carvalho-
Autor(es): dc.creatorGuimarães, Ednaldo Carvalho-
Autor(es): dc.creatorde Carvalho, Daniel Fonseca-
Autor(es): dc.creatorde Araújo, Lúcio Borges [UNESP]-
Data de aceite: dc.date.accessioned2022-08-04T22:02:44Z-
Data de disponibilização: dc.date.available2022-08-04T22:02:44Z-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2009-07-01-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/219775-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/219775-
Descrição: dc.descriptionThe objective of this work was to carry a descriptive analysis in the monthly precipitation of rainfall stations from Rio de Janeiro State, Brazil, using data of position and dispersion and graphical analyses, and to verify the presence of seasonality and trend in these data, with a study about the application of models of time series. The descriptive statistics was to characterize the general behavior of the series in three stations selected which present consistent historical series. The methodology of analysis of variance in randomized blocks and the determination of models of multiple linear regression, considering years and months as predictors variables, disclosed the presence of seasonality, what allowed to infer on the occurrence of repetitive natural phenomena throughout the time and absence of trend in the data. It was applied the methodology of multiple linear regression to removal the seasonality of these time series. The original data had been deducted from the estimates made by the adjusted model and the analysis of variance in randomized blocks for the residues of regression was preceded again. With the results obtained it was possible to conclude that the monthly rainfall present seasonality and they don't present trend, the analysis of multiple regression was efficient in the removal of the seasonality, and the rainfall can be studied by means of time series.-
Descrição: dc.descriptionEscola Superior de Agricultura 'Luiz de Queiroz'-ESALQ Universidade de São Paulo-USP-
Descrição: dc.descriptionFaculdade de Matemática Universidade Federal de Uberlândia, Uberlânida, MG-
Descrição: dc.descriptionUniversidade Federal Rural do Rio de Janeiro Instituto de Tecnologia Departamento de Engenharia, Soropédica, RJ-
Descrição: dc.descriptionESALQ USP Universidade Estadual Paulista, Botucatu, SP-
Descrição: dc.descriptionESALQ USP Universidade Estadual Paulista, Botucatu, SP-
Formato: dc.format90-100-
Idioma: dc.languageen-
Idioma: dc.languagept_BR-
Relação: dc.relationBioscience Journal-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectClimate-
Palavras-chave: dc.subjectMultiple regression-
Palavras-chave: dc.subjectRainfall statistics-
Palavras-chave: dc.subjectTime series-
Título: dc.titlePrecipitação pluviométrica mensal no Estado do Rio de Janeiro: Sazonalidade e tendência-
Título: dc.titleThe monthly rainfall in the Rio de Janeiro State, Brazil: Seasonality and trend-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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