Uncertainties of the rainfall regime in a tropical semi-arid region: the case of the State of Ceará
Autor(a) principal: | |
---|---|
Data de Publicação: | 2016 |
Outros Autores: | , , , |
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 |