Uncertainties of the rainfall regime in a tropical semi-arid region: the case of the State of Ceará

Detalhes bibliográficos
Autor(a) principal: Andrade, Eunice Maia de
Data de Publicação: 2016
Outros Autores: Torres Sena, Maria Gina, Rodrigues da Silva, Antonio Givanilson, Soares Pereira, Francisco Jairo, Bezerra Lopes, Fernando
Tipo de documento: Artigo
Idioma: por
Título da fonte: Agro@mbiente on-line
Texto Completo: https://revista.ufrr.br/agroambiente/article/view/3500
Resumo: The rural population of a tropical semi-arid region such as the northeast of Brazil is directly dependent on rainfall for agricultural production, pasture for livestock, and the storage of drinking water for human consumption. The region is characterised by the frequent occurrence of dry years and consecutive dry days (CDD) during the rainy season, demonstrating the vulnerability of rainfed agriculture. The aim of this study therefore, was to identify homogeneous regions of the State of Ceará where there is greater or lesser uncertainty of the rainfall regime. Accordingly, the occurrence of dry and very dry years were investigated as uncertainties between years, together with the occurrence of two classes of CDD (10-20 and 21-30 days) during the rainy season. To define similar regions as to the uncertainty of the rainfall regime, the technique of Hierarchical Cluster Analysis (HCA) was used. The study considered time series of least 30 years, from 77 rain gauge stations around the state of Ceará. The use of HCA resulted in the formation of seven homogenous groups in both of the phenomena being investigated. Municipalities in the Central Backlands, the Inhamuns Backlands and the Jaguaribana Region displayed a higher frequency of both inter-annual (dry years) and intra-annual (CDD) uncertainty, demonstrating the greater vulnerability of rainfed agriculture. The occurrence of a CDD event is not dependent on the total annual rainfall, as several stations with an average rainfall higher than that of the state showed potential for the occurrence of CDD. The number of CDD events recorded in the 11-20 day class was higher than in the 21-30 day class.
id UFRR-4_f05c316ea1fc7e9e21cf591057ab2c26
oai_identifier_str oai:oai.revista.ufrr.br:article/3500
network_acronym_str UFRR-4
network_name_str Agro@mbiente on-line
repository_id_str
spelling Uncertainties of the rainfall regime in a tropical semi-arid region: the case of the State of CearáDry semi-arid regions. Precipitation. Consecutive Dry Days. Rainfed agriculture.The rural population of a tropical semi-arid region such as the northeast of Brazil is directly dependent on rainfall for agricultural production, pasture for livestock, and the storage of drinking water for human consumption. The region is characterised by the frequent occurrence of dry years and consecutive dry days (CDD) during the rainy season, demonstrating the vulnerability of rainfed agriculture. The aim of this study therefore, was to identify homogeneous regions of the State of Ceará where there is greater or lesser uncertainty of the rainfall regime. Accordingly, the occurrence of dry and very dry years were investigated as uncertainties between years, together with the occurrence of two classes of CDD (10-20 and 21-30 days) during the rainy season. To define similar regions as to the uncertainty of the rainfall regime, the technique of Hierarchical Cluster Analysis (HCA) was used. The study considered time series of least 30 years, from 77 rain gauge stations around the state of Ceará. The use of HCA resulted in the formation of seven homogenous groups in both of the phenomena being investigated. Municipalities in the Central Backlands, the Inhamuns Backlands and the Jaguaribana Region displayed a higher frequency of both inter-annual (dry years) and intra-annual (CDD) uncertainty, demonstrating the greater vulnerability of rainfed agriculture. The occurrence of a CDD event is not dependent on the total annual rainfall, as several stations with an average rainfall higher than that of the state showed potential for the occurrence of CDD. The number of CDD events recorded in the 11-20 day class was higher than in the 21-30 day class.UFRR2016-07-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revista.ufrr.br/agroambiente/article/view/350010.18227/1982-8470ragro.v10i2.3500AGRO@MBIENTE ON-LINE JOURNALRAGR; Vol. 10 No. 2 (2016): abril-junho; 88-95REVISTA AGRO@MBIENTE ON-LINE; Vol. 10 Núm. 2 (2016): abril-junho; 88-95REVISTA AGRO@MBIENTE ON-LINE; v. 10 n. 2 (2016): abril-junho; 88-951982-8470reponame:Agro@mbiente on-lineinstname:Universidade Federal de Roraima (UFRR)instacron:UFRRporhttps://revista.ufrr.br/agroambiente/article/view/3500/1984Copyright (c) 2016 REVISTA AGRO@MBIENTE ON-LINEinfo:eu-repo/semantics/openAccessAndrade, Eunice Maia deTorres Sena, Maria GinaRodrigues da Silva, Antonio GivanilsonSoares Pereira, Francisco JairoBezerra Lopes, Fernando2016-10-21T18:47:50Zoai:oai.revista.ufrr.br:article/3500Revistahttps://revista.ufrr.br/index.php/agroambientePUBhttps://revista.ufrr.br/index.php/agroambiente/oai||scpuchoa@dsi.ufrr.br|| arcanjoalves@oi.com.br1982-84701982-8470opendoar:2016-10-21T18:47:50Agro@mbiente on-line - Universidade Federal de Roraima (UFRR)false
dc.title.none.fl_str_mv Uncertainties of the rainfall regime in a tropical semi-arid region: the case of the State of Ceará
title Uncertainties of the rainfall regime in a tropical semi-arid region: the case of the State of Ceará
spellingShingle Uncertainties of the rainfall regime in a tropical semi-arid region: the case of the State of Ceará
Andrade, Eunice Maia de
Dry semi-arid regions. Precipitation. Consecutive Dry Days. Rainfed agriculture.
title_short Uncertainties of the rainfall regime in a tropical semi-arid region: the case of the State of Ceará
title_full Uncertainties of the rainfall regime in a tropical semi-arid region: the case of the State of Ceará
title_fullStr Uncertainties of the rainfall regime in a tropical semi-arid region: the case of the State of Ceará
title_full_unstemmed Uncertainties of the rainfall regime in a tropical semi-arid region: the case of the State of Ceará
title_sort Uncertainties of the rainfall regime in a tropical semi-arid region: the case of the State of Ceará
author Andrade, Eunice Maia de
author_facet Andrade, Eunice Maia de
Torres Sena, Maria Gina
Rodrigues da Silva, Antonio Givanilson
Soares Pereira, Francisco Jairo
Bezerra Lopes, Fernando
author_role author
author2 Torres Sena, Maria Gina
Rodrigues da Silva, Antonio Givanilson
Soares Pereira, Francisco Jairo
Bezerra Lopes, Fernando
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Andrade, Eunice Maia de
Torres Sena, Maria Gina
Rodrigues da Silva, Antonio Givanilson
Soares Pereira, Francisco Jairo
Bezerra Lopes, Fernando
dc.subject.por.fl_str_mv Dry semi-arid regions. Precipitation. Consecutive Dry Days. Rainfed agriculture.
topic Dry semi-arid regions. Precipitation. Consecutive Dry Days. Rainfed agriculture.
description The rural population of a tropical semi-arid region such as the northeast of Brazil is directly dependent on rainfall for agricultural production, pasture for livestock, and the storage of drinking water for human consumption. The region is characterised by the frequent occurrence of dry years and consecutive dry days (CDD) during the rainy season, demonstrating the vulnerability of rainfed agriculture. The aim of this study therefore, was to identify homogeneous regions of the State of Ceará where there is greater or lesser uncertainty of the rainfall regime. Accordingly, the occurrence of dry and very dry years were investigated as uncertainties between years, together with the occurrence of two classes of CDD (10-20 and 21-30 days) during the rainy season. To define similar regions as to the uncertainty of the rainfall regime, the technique of Hierarchical Cluster Analysis (HCA) was used. The study considered time series of least 30 years, from 77 rain gauge stations around the state of Ceará. The use of HCA resulted in the formation of seven homogenous groups in both of the phenomena being investigated. Municipalities in the Central Backlands, the Inhamuns Backlands and the Jaguaribana Region displayed a higher frequency of both inter-annual (dry years) and intra-annual (CDD) uncertainty, demonstrating the greater vulnerability of rainfed agriculture. The occurrence of a CDD event is not dependent on the total annual rainfall, as several stations with an average rainfall higher than that of the state showed potential for the occurrence of CDD. The number of CDD events recorded in the 11-20 day class was higher than in the 21-30 day class.
publishDate 2016
dc.date.none.fl_str_mv 2016-07-19
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://revista.ufrr.br/agroambiente/article/view/3500
10.18227/1982-8470ragro.v10i2.3500
url https://revista.ufrr.br/agroambiente/article/view/3500
identifier_str_mv 10.18227/1982-8470ragro.v10i2.3500
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://revista.ufrr.br/agroambiente/article/view/3500/1984
dc.rights.driver.fl_str_mv Copyright (c) 2016 REVISTA AGRO@MBIENTE ON-LINE
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2016 REVISTA AGRO@MBIENTE ON-LINE
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv UFRR
publisher.none.fl_str_mv UFRR
dc.source.none.fl_str_mv AGRO@MBIENTE ON-LINE JOURNALRAGR; Vol. 10 No. 2 (2016): abril-junho; 88-95
REVISTA AGRO@MBIENTE ON-LINE; Vol. 10 Núm. 2 (2016): abril-junho; 88-95
REVISTA AGRO@MBIENTE ON-LINE; v. 10 n. 2 (2016): abril-junho; 88-95
1982-8470
reponame:Agro@mbiente on-line
instname:Universidade Federal de Roraima (UFRR)
instacron:UFRR
instname_str Universidade Federal de Roraima (UFRR)
instacron_str UFRR
institution UFRR
reponame_str Agro@mbiente on-line
collection Agro@mbiente on-line
repository.name.fl_str_mv Agro@mbiente on-line - Universidade Federal de Roraima (UFRR)
repository.mail.fl_str_mv ||scpuchoa@dsi.ufrr.br|| arcanjoalves@oi.com.br
_version_ 1799770041021890560