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

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 c...

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Main Authors: Eunice Maia de Andrade, Maria Gina Torres Sena, Antonio Givanilson Rodrigues da Silva, Francisco Jairo Soares Pereira, Fernando Bezerra Lopes
Format: Article
Language:English
Published: Universidade Federal de Roraima 2016-07-01
Series:Agro@mbiente On-line
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Online Access:https://revista.ufrr.br/agroambiente/article/view/3500
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author Eunice Maia de Andrade
Maria Gina Torres Sena
Antonio Givanilson Rodrigues da Silva
Francisco Jairo Soares Pereira
Fernando Bezerra Lopes
author_facet Eunice Maia de Andrade
Maria Gina Torres Sena
Antonio Givanilson Rodrigues da Silva
Francisco Jairo Soares Pereira
Fernando Bezerra Lopes
author_sort Eunice Maia de Andrade
collection DOAJ
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.
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spelling doaj-art-8b343ca536d74ef3b9197f65daf1f3922025-02-04T15:01:47ZengUniversidade Federal de RoraimaAgro@mbiente On-line1982-84702016-07-01102Uncertainties of the rainfall regime in a tropical semi-arid region: the case of the State of CearáEunice Maia de Andrade0Maria Gina Torres Sena1Antonio Givanilson Rodrigues da Silva2Francisco Jairo Soares Pereira3Fernando Bezerra Lopes4Universidade Federal do CearáUniversidade Federal do CearáUniversidade Federal do Ceará.Universidade Federal do Ceará.Universidade Federal do Ceará.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.https://revista.ufrr.br/agroambiente/article/view/3500Dry semi-arid regions. Precipitation. Consecutive Dry Days. Rainfed agriculture.
spellingShingle Eunice Maia de Andrade
Maria Gina Torres Sena
Antonio Givanilson Rodrigues da Silva
Francisco Jairo Soares Pereira
Fernando Bezerra Lopes
Uncertainties of the rainfall regime in a tropical semi-arid region: the case of the State of Ceará
Agro@mbiente On-line
Dry semi-arid regions. Precipitation. Consecutive Dry Days. Rainfed agriculture.
title 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_short 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 ceara
topic Dry semi-arid regions. Precipitation. Consecutive Dry Days. Rainfed agriculture.
url https://revista.ufrr.br/agroambiente/article/view/3500
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