A model for monthly rainfall periodic regression analysis, of the southeast Atlantic Basin, on Paraná State

Detalhes bibliográficos
Autor(a) principal: Queiroz, Emilson França de
Data de Publicação: 2001
Outros Autores: Silva, Reinaldo Joaquim Bezerra da, Oliveira, Maria Cristina Neves de
Tipo de documento: Artigo
Idioma: por
Título da fonte: Pesquisa Agropecuária Brasileira (Online)
Texto Completo: https://seer.sct.embrapa.br/index.php/pab/article/view/6189
Resumo: This study deals with the periodic regression analysis of the monthly total rainfall, for eight locations in the State of Paraná, Brazil. Mathematical models which describe the course of this variable observing a period of twelve months were applied. The analysis was developed by means of matrice algebra and the expansion in Fourier series of a function f(t), periodic and defined for intervals. The original data were adjusted for 30-day months and all harmonic components of the functions referring to each of the eight locations were determined. After testing for normality of the harmonic components, an analysis of variance was made, which made it possible to identify the significant harmonic components which were chosen to make up part of the regression equation corresponding to each location. These equations explain 89.56% up to 99.60% of the variation due to months, for the whole set of studied locations. Probability for occurrence of a year in accordance to the model, in percentage, ranges from 14.19% to 68.42%, while probability for occurrence of a year adjusted to mean, ranges from 0.02% to 1.87%.
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spelling A model for monthly rainfall periodic regression analysis, of the southeast Atlantic Basin, on Paraná StateModelo de análise de regressão periódica da precipitação mensal, da bacia atlântico sudeste, no Estado do Paranáclimatological methods; mathematical models; meteorological datamétodos climatológicos; modelos matemáticos; dados meteorológicosThis study deals with the periodic regression analysis of the monthly total rainfall, for eight locations in the State of Paraná, Brazil. Mathematical models which describe the course of this variable observing a period of twelve months were applied. The analysis was developed by means of matrice algebra and the expansion in Fourier series of a function f(t), periodic and defined for intervals. The original data were adjusted for 30-day months and all harmonic components of the functions referring to each of the eight locations were determined. After testing for normality of the harmonic components, an analysis of variance was made, which made it possible to identify the significant harmonic components which were chosen to make up part of the regression equation corresponding to each location. These equations explain 89.56% up to 99.60% of the variation due to months, for the whole set of studied locations. Probability for occurrence of a year in accordance to the model, in percentage, ranges from 14.19% to 68.42%, while probability for occurrence of a year adjusted to mean, ranges from 0.02% to 1.87%.Este trabalho consistiu da realização da análise de regressão periódica dos totais mensais de precipitação de oito localidades do Estado do Paraná. Foram derivados modelos matemáticos que descrevem o transcurso desta variável, considerando um período de doze meses. A análise foi desenvolvida através da álgebra matricial e realizada a expansão em série de Fourier de uma função f(t), periódica e definida para o intervalo. Os dados originais foram ajustados para meses de 30 dias, transformados para normalizar a distribuição. Posteriormente foram determinados todos os componentes harmônicos das funções referentes a cada um dos oito locais. Após a verificação da normalidade dos componentes harmônicos, realizou-se a análise de variância, o que permitiu identificar os componentes harmônicos significativos, que foram escolhidos para fazer parte da equação de regressão correspondente a cada local. Estas equações explicaram de 89,56% a 99,60% da variação devida a meses, considerando o conjunto das localidades estudadas. A probabilidade de ocorrência de um ano conforme o modelo, expressa em porcentagem, variou de 14,19% a 68,42%, enquanto a probabilidade de ocorrência de um ano conforme a média variou de 0,02% a 1,87%.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraQueiroz, Emilson França deSilva, Reinaldo Joaquim Bezerra daOliveira, Maria Cristina Neves de2001-05-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/6189Pesquisa Agropecuaria Brasileira; v.36, n.5, maio 2001; 727-742Pesquisa Agropecuária Brasileira; v.36, n.5, maio 2001; 727-7421678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/6189/3254info:eu-repo/semantics/openAccess2010-08-05T16:50:17Zoai:ojs.seer.sct.embrapa.br:article/6189Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2010-08-05T16:50:17Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv A model for monthly rainfall periodic regression analysis, of the southeast Atlantic Basin, on Paraná State
Modelo de análise de regressão periódica da precipitação mensal, da bacia atlântico sudeste, no Estado do Paraná
title A model for monthly rainfall periodic regression analysis, of the southeast Atlantic Basin, on Paraná State
spellingShingle A model for monthly rainfall periodic regression analysis, of the southeast Atlantic Basin, on Paraná State
Queiroz, Emilson França de
climatological methods; mathematical models; meteorological data
métodos climatológicos; modelos matemáticos; dados meteorológicos
title_short A model for monthly rainfall periodic regression analysis, of the southeast Atlantic Basin, on Paraná State
title_full A model for monthly rainfall periodic regression analysis, of the southeast Atlantic Basin, on Paraná State
title_fullStr A model for monthly rainfall periodic regression analysis, of the southeast Atlantic Basin, on Paraná State
title_full_unstemmed A model for monthly rainfall periodic regression analysis, of the southeast Atlantic Basin, on Paraná State
title_sort A model for monthly rainfall periodic regression analysis, of the southeast Atlantic Basin, on Paraná State
author Queiroz, Emilson França de
author_facet Queiroz, Emilson França de
Silva, Reinaldo Joaquim Bezerra da
Oliveira, Maria Cristina Neves de
author_role author
author2 Silva, Reinaldo Joaquim Bezerra da
Oliveira, Maria Cristina Neves de
author2_role author
author
dc.contributor.none.fl_str_mv

dc.contributor.author.fl_str_mv Queiroz, Emilson França de
Silva, Reinaldo Joaquim Bezerra da
Oliveira, Maria Cristina Neves de
dc.subject.por.fl_str_mv climatological methods; mathematical models; meteorological data
métodos climatológicos; modelos matemáticos; dados meteorológicos
topic climatological methods; mathematical models; meteorological data
métodos climatológicos; modelos matemáticos; dados meteorológicos
description This study deals with the periodic regression analysis of the monthly total rainfall, for eight locations in the State of Paraná, Brazil. Mathematical models which describe the course of this variable observing a period of twelve months were applied. The analysis was developed by means of matrice algebra and the expansion in Fourier series of a function f(t), periodic and defined for intervals. The original data were adjusted for 30-day months and all harmonic components of the functions referring to each of the eight locations were determined. After testing for normality of the harmonic components, an analysis of variance was made, which made it possible to identify the significant harmonic components which were chosen to make up part of the regression equation corresponding to each location. These equations explain 89.56% up to 99.60% of the variation due to months, for the whole set of studied locations. Probability for occurrence of a year in accordance to the model, in percentage, ranges from 14.19% to 68.42%, while probability for occurrence of a year adjusted to mean, ranges from 0.02% to 1.87%.
publishDate 2001
dc.date.none.fl_str_mv 2001-05-01
dc.type.none.fl_str_mv
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.sct.embrapa.br/index.php/pab/article/view/6189
url https://seer.sct.embrapa.br/index.php/pab/article/view/6189
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.sct.embrapa.br/index.php/pab/article/view/6189/3254
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
dc.source.none.fl_str_mv Pesquisa Agropecuaria Brasileira; v.36, n.5, maio 2001; 727-742
Pesquisa Agropecuária Brasileira; v.36, n.5, maio 2001; 727-742
1678-3921
0100-104x
reponame:Pesquisa Agropecuária Brasileira (Online)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Pesquisa Agropecuária Brasileira (Online)
collection Pesquisa Agropecuária Brasileira (Online)
repository.name.fl_str_mv Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv pab@sct.embrapa.br || sct.pab@embrapa.br
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