Lacunarity analysis of daily rainfall data in Pernambuco, Brazil

Detalhes bibliográficos
Autor(a) principal: Lucena, Leandro Ricardo Rodrigues de
Data de Publicação: 2018
Outros Autores: Xavier Junior, Silvio Fernandes, Stosic, Tatijana, Stosic, Borko
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Acta scientiarum. Technology (Online)
Texto Completo: http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/36655
Resumo:  Here we report a study of the temporal variation in daily rainfall recorded at meteorological stations in the state of Pernambuco, Brazil using the method of lacunarity to evaluate dry spell distribution. Results indicate coastal region rainfall has lower lacunarity and shows a more homogeneous behaviour with respect to dry spell duration. In the semiarid and dry regions rainfall series demonstrate higher lacunarity, indicating more complex behaviour and greater variation in dry spell duration. We show that clustering based on calculated lacunarity values can be used to identify geographical regions with characteristic temporal variability in rainfall pattern. For Pernambuco, three distinct spatial patterns were identified: one in the Zona de Mata, another in southern Agreste and Sertão Pernambucano, and third in Sertão São Francisco and the northern part of Agreste. 
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spelling Lacunarity analysis of daily rainfall data in Pernambuco, Brazilfractalmeteorologyclimatic phenomena. Here we report a study of the temporal variation in daily rainfall recorded at meteorological stations in the state of Pernambuco, Brazil using the method of lacunarity to evaluate dry spell distribution. Results indicate coastal region rainfall has lower lacunarity and shows a more homogeneous behaviour with respect to dry spell duration. In the semiarid and dry regions rainfall series demonstrate higher lacunarity, indicating more complex behaviour and greater variation in dry spell duration. We show that clustering based on calculated lacunarity values can be used to identify geographical regions with characteristic temporal variability in rainfall pattern. For Pernambuco, three distinct spatial patterns were identified: one in the Zona de Mata, another in southern Agreste and Sertão Pernambucano, and third in Sertão São Francisco and the northern part of Agreste. Universidade Estadual De Maringá2018-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/3665510.4025/actascitechnol.v40i1.36655Acta Scientiarum. Technology; Vol 40 (2018): Publicação Contínua; e36655Acta Scientiarum. Technology; v. 40 (2018): Publicação Contínua; e366551806-25631807-8664reponame:Acta scientiarum. Technology (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/36655/pdfCopyright (c) 2018 Acta Scientiarum. Technologyhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessLucena, Leandro Ricardo Rodrigues deXavier Junior, Silvio FernandesStosic, TatijanaStosic, Borko2019-07-17T11:53:49Zoai:periodicos.uem.br/ojs:article/36655Revistahttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/indexPUBhttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/oai||actatech@uem.br1807-86641806-2563opendoar:2019-07-17T11:53:49Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Lacunarity analysis of daily rainfall data in Pernambuco, Brazil
title Lacunarity analysis of daily rainfall data in Pernambuco, Brazil
spellingShingle Lacunarity analysis of daily rainfall data in Pernambuco, Brazil
Lucena, Leandro Ricardo Rodrigues de
fractal
meteorology
climatic phenomena.
title_short Lacunarity analysis of daily rainfall data in Pernambuco, Brazil
title_full Lacunarity analysis of daily rainfall data in Pernambuco, Brazil
title_fullStr Lacunarity analysis of daily rainfall data in Pernambuco, Brazil
title_full_unstemmed Lacunarity analysis of daily rainfall data in Pernambuco, Brazil
title_sort Lacunarity analysis of daily rainfall data in Pernambuco, Brazil
author Lucena, Leandro Ricardo Rodrigues de
author_facet Lucena, Leandro Ricardo Rodrigues de
Xavier Junior, Silvio Fernandes
Stosic, Tatijana
Stosic, Borko
author_role author
author2 Xavier Junior, Silvio Fernandes
Stosic, Tatijana
Stosic, Borko
author2_role author
author
author
dc.contributor.author.fl_str_mv Lucena, Leandro Ricardo Rodrigues de
Xavier Junior, Silvio Fernandes
Stosic, Tatijana
Stosic, Borko
dc.subject.por.fl_str_mv fractal
meteorology
climatic phenomena.
topic fractal
meteorology
climatic phenomena.
description  Here we report a study of the temporal variation in daily rainfall recorded at meteorological stations in the state of Pernambuco, Brazil using the method of lacunarity to evaluate dry spell distribution. Results indicate coastal region rainfall has lower lacunarity and shows a more homogeneous behaviour with respect to dry spell duration. In the semiarid and dry regions rainfall series demonstrate higher lacunarity, indicating more complex behaviour and greater variation in dry spell duration. We show that clustering based on calculated lacunarity values can be used to identify geographical regions with characteristic temporal variability in rainfall pattern. For Pernambuco, three distinct spatial patterns were identified: one in the Zona de Mata, another in southern Agreste and Sertão Pernambucano, and third in Sertão São Francisco and the northern part of Agreste. 
publishDate 2018
dc.date.none.fl_str_mv 2018-09-01
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 http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/36655
10.4025/actascitechnol.v40i1.36655
url http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/36655
identifier_str_mv 10.4025/actascitechnol.v40i1.36655
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/36655/pdf
dc.rights.driver.fl_str_mv Copyright (c) 2018 Acta Scientiarum. Technology
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2018 Acta Scientiarum. Technology
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 Universidade Estadual De Maringá
publisher.none.fl_str_mv Universidade Estadual De Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Technology; Vol 40 (2018): Publicação Contínua; e36655
Acta Scientiarum. Technology; v. 40 (2018): Publicação Contínua; e36655
1806-2563
1807-8664
reponame:Acta scientiarum. Technology (Online)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Acta scientiarum. Technology (Online)
collection Acta scientiarum. Technology (Online)
repository.name.fl_str_mv Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv ||actatech@uem.br
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