Lacunarity analysis of daily rainfall data in Pernambuco, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , |
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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Acta scientiarum. Technology (Online) |
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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 |
_version_ |
1799315336780054528 |