Cluster analysis identified rainfall homogeneous regions in Tocantins state, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Bioscience journal (Online) |
Texto Completo: | https://seer.ufu.br/index.php/biosciencejournal/article/view/32739 |
Resumo: | Identifying homogeneous regions regarding the monthly rainfall is relevant in agricultural planning, especially in relation to the installation of crops. Thus, the aim of this study was to apply the cluster analysis using Ward's algorithm to identify homogeneous regions in Tocantins State. Rainfall database of 34 stations (sites) of Tocantins, from 1976 to 2012, it were obtained of the Database of the Agência Nacional de Águas, Instituto Nacional de Meteorologia and Serviço Meteorológico do Brasil. Thus, were formed 408 time series (12 months × 34 sites) wherein AA technique was applied in conjunction with Ward's algorithm. Three homogeneous regions in relation to monthly rainfall were identified. Group 1, located in the extreme north of the state, has intermediate average values (135.58 mm) to the other groups. Group 2 showed the greatest variance (13,543.68 mm²) and higher average (162.19 mm) for the studied period. On the other hand, group 3 has the lowest average rainfall (117.93 mm) among the homogeneous groups. Separating the groups followed a north-south alignment which suggests that latitude is the physiographic factor that most influences the occurrence of monthly rainfall in the State of Tocantins. |
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Cluster analysis identified rainfall homogeneous regions in Tocantins state, Brazil Análises de agrupamento identificaram regiões pluviometricamente homogêneas no estado de Tocantis, BrasilWardmonthly rainfallspatial variabilitytemporal variability.Precipitação mensalVariabilidade espacialVariabilidade temporalalgoritmo de WardIdentifying homogeneous regions regarding the monthly rainfall is relevant in agricultural planning, especially in relation to the installation of crops. Thus, the aim of this study was to apply the cluster analysis using Ward's algorithm to identify homogeneous regions in Tocantins State. Rainfall database of 34 stations (sites) of Tocantins, from 1976 to 2012, it were obtained of the Database of the Agência Nacional de Águas, Instituto Nacional de Meteorologia and Serviço Meteorológico do Brasil. Thus, were formed 408 time series (12 months × 34 sites) wherein AA technique was applied in conjunction with Ward's algorithm. Three homogeneous regions in relation to monthly rainfall were identified. Group 1, located in the extreme north of the state, has intermediate average values (135.58 mm) to the other groups. Group 2 showed the greatest variance (13,543.68 mm²) and higher average (162.19 mm) for the studied period. On the other hand, group 3 has the lowest average rainfall (117.93 mm) among the homogeneous groups. Separating the groups followed a north-south alignment which suggests that latitude is the physiographic factor that most influences the occurrence of monthly rainfall in the State of Tocantins.A identificação de regiões homogêneas quanto a chuva mensal é relevante no planejamentoagrícola, sobretudo no que diz respeito à instalação de culturas. Assim, o objetivo deste estudo foi aplicar a análise de agrupamento (AA) em conjunto com o algoritmo de Ward para identificar regiões homogêneas no Estado do Tocantins. Dados de precipitação mensal de 34 estações (locais) do Tocantins, de 1976 a 2012, foram obtidos do banco de dados da Agência Nacional de Águas, Instituto Nacional de Meteorologia e Serviço Meteorológico do Brasil. Assim, foram formadas 408 séries temporais (12 meses x 34 locais) em que foi aplicada a técnica AA em conjunto com o algoritmo de Ward. Foram identificadas três regiões homogenias quanto a precipitação mensal. O grupo 1, localizado no extremo-norte do estado, possui valores médios intermediários (135.58 mm) aos outros grupos. O grupo 2 apresentou a maior variância(13,543.68 mm²) e maior média (162.19 mm) para o período de estudo. Por outro lado, o grupo 3 possui a menor média pluviométrica (117,93 mm) dentre os grupos homogêneos. A separação dos grupos seguiu um alinhamento Norte-Sul, o que sugere que a latitute é o fator fisiográfico que mais influência na ocorrência da precipitação mensal no Estado do Tocantins.EDUFU2017-03-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/biosciencejournal/article/view/3273910.14393/BJ-v33n2-32739Bioscience Journal ; Vol. 33 No. 2 (2017): Mar./Apr.Bioscience Journal ; v. 33 n. 2 (2017): Mar./Apr.1981-3163reponame:Bioscience journal (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/biosciencejournal/article/view/32739/19999Copyright (c) 2017 José Francisco de Oliveira-Júnior, Fábio Miranda Gomes Xavier, Paulo Eduardo Teodoro, Givanildo de Gois, Rafael Coll Delgadohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessOliveira-Júnior, José Francisco deXavier, Fábio Miranda GomesTeodoro, Paulo EduardoGois, Givanildo deDelgado, Rafael Coll2022-01-03T16:22:13Zoai:ojs.www.seer.ufu.br:article/32739Revistahttps://seer.ufu.br/index.php/biosciencejournalPUBhttps://seer.ufu.br/index.php/biosciencejournal/oaibiosciencej@ufu.br||1981-31631516-3725opendoar:2022-01-03T16:22:13Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)false |
dc.title.none.fl_str_mv |
Cluster analysis identified rainfall homogeneous regions in Tocantins state, Brazil Análises de agrupamento identificaram regiões pluviometricamente homogêneas no estado de Tocantis, Brasil |
title |
Cluster analysis identified rainfall homogeneous regions in Tocantins state, Brazil |
spellingShingle |
Cluster analysis identified rainfall homogeneous regions in Tocantins state, Brazil Oliveira-Júnior, José Francisco de Ward monthly rainfall spatial variability temporal variability. Precipitação mensal Variabilidade espacial Variabilidade temporal algoritmo de Ward |
title_short |
Cluster analysis identified rainfall homogeneous regions in Tocantins state, Brazil |
title_full |
Cluster analysis identified rainfall homogeneous regions in Tocantins state, Brazil |
title_fullStr |
Cluster analysis identified rainfall homogeneous regions in Tocantins state, Brazil |
title_full_unstemmed |
Cluster analysis identified rainfall homogeneous regions in Tocantins state, Brazil |
title_sort |
Cluster analysis identified rainfall homogeneous regions in Tocantins state, Brazil |
author |
Oliveira-Júnior, José Francisco de |
author_facet |
Oliveira-Júnior, José Francisco de Xavier, Fábio Miranda Gomes Teodoro, Paulo Eduardo Gois, Givanildo de Delgado, Rafael Coll |
author_role |
author |
author2 |
Xavier, Fábio Miranda Gomes Teodoro, Paulo Eduardo Gois, Givanildo de Delgado, Rafael Coll |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Oliveira-Júnior, José Francisco de Xavier, Fábio Miranda Gomes Teodoro, Paulo Eduardo Gois, Givanildo de Delgado, Rafael Coll |
dc.subject.por.fl_str_mv |
Ward monthly rainfall spatial variability temporal variability. Precipitação mensal Variabilidade espacial Variabilidade temporal algoritmo de Ward |
topic |
Ward monthly rainfall spatial variability temporal variability. Precipitação mensal Variabilidade espacial Variabilidade temporal algoritmo de Ward |
description |
Identifying homogeneous regions regarding the monthly rainfall is relevant in agricultural planning, especially in relation to the installation of crops. Thus, the aim of this study was to apply the cluster analysis using Ward's algorithm to identify homogeneous regions in Tocantins State. Rainfall database of 34 stations (sites) of Tocantins, from 1976 to 2012, it were obtained of the Database of the Agência Nacional de Águas, Instituto Nacional de Meteorologia and Serviço Meteorológico do Brasil. Thus, were formed 408 time series (12 months × 34 sites) wherein AA technique was applied in conjunction with Ward's algorithm. Three homogeneous regions in relation to monthly rainfall were identified. Group 1, located in the extreme north of the state, has intermediate average values (135.58 mm) to the other groups. Group 2 showed the greatest variance (13,543.68 mm²) and higher average (162.19 mm) for the studied period. On the other hand, group 3 has the lowest average rainfall (117.93 mm) among the homogeneous groups. Separating the groups followed a north-south alignment which suggests that latitude is the physiographic factor that most influences the occurrence of monthly rainfall in the State of Tocantins. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-03-30 |
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.ufu.br/index.php/biosciencejournal/article/view/32739 10.14393/BJ-v33n2-32739 |
url |
https://seer.ufu.br/index.php/biosciencejournal/article/view/32739 |
identifier_str_mv |
10.14393/BJ-v33n2-32739 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://seer.ufu.br/index.php/biosciencejournal/article/view/32739/19999 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
EDUFU |
publisher.none.fl_str_mv |
EDUFU |
dc.source.none.fl_str_mv |
Bioscience Journal ; Vol. 33 No. 2 (2017): Mar./Apr. Bioscience Journal ; v. 33 n. 2 (2017): Mar./Apr. 1981-3163 reponame:Bioscience journal (Online) instname:Universidade Federal de Uberlândia (UFU) instacron:UFU |
instname_str |
Universidade Federal de Uberlândia (UFU) |
instacron_str |
UFU |
institution |
UFU |
reponame_str |
Bioscience journal (Online) |
collection |
Bioscience journal (Online) |
repository.name.fl_str_mv |
Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU) |
repository.mail.fl_str_mv |
biosciencej@ufu.br|| |
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1797069076323893248 |