A model for monthly rainfall periodic regression analysis, of the southeast Atlantic Basin, on Paraná State
Autor(a) principal: | |
---|---|
Data de Publicação: | 2001 |
Outros Autores: | , |
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%. |
id |
EMBRAPA-4_9ca97b096e461aa2102d85fd10fa05e7 |
---|---|
oai_identifier_str |
oai:ojs.seer.sct.embrapa.br:article/6189 |
network_acronym_str |
EMBRAPA-4 |
network_name_str |
Pesquisa Agropecuária Brasileira (Online) |
repository_id_str |
|
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 |
_version_ |
1793416657587142656 |