Análise espacial das chuvas na bacia do rio Taperoá, Região Semiárida da Paraíba (Spatial analysis of rainfall in the Taperoá river basin, semiarid region of Paraíba)
DOI:
https://doi.org/10.5935/1984-2295.20160093Keywords:
chuvas, variabilidade, geoprocessamentoAbstract
O aspecto mais marcante do clima na Região Semiárida do Brasil é a alta variabilidade espaço-temporal das chuvas. O presente trabalho tem como objetivo fazer uma análise espacial da precipitação pluvial mensal na bacia hidrográfica do rio Taperoá, localizado na região semiárida paraibana.Este tipo de estudo tem a sua importância devido ao fato da precipitação pluvial ser bastante variável nas escalas temporal e espacial, e, por isso, conhecer esta variabilidade é de grande importância para a gestão e planejamento dos recursos hídricos, sobretudo em áreas semiáridas onde os valores precipitados são mais baixos se comparados a outas áreas tropicais.Para tanto, foram utilizados dados de precipitação de 22 postos pluviométricos, sendo 14 no interior e 8 fora da respectiva bacia. Os dados foram acessados no site do DCA/UFCG, e a partir deles, por meio de ferramentas de geoprocessamento, foram criados mapas que mostraram a variabilidade espacial e temporal das chuvas. Todas as análises foram trabalhadas, através do software Qgis 2.14, e através de técnicas de interpolação foram gerados mapas. Os resultados obtidos apontam que a BHRT apresenta uma distribuição sazonal irregular das chuvas com valores máximos em março e abril o que representa a estação chuvosa na bacia e um período de estiagem bastante pronunciado nos meses de setembro, outubro e novembro. Palavras-chave: chuvas, variabilidade, geoprocessamento.
A B S T R A C T
The most important aspect of the climate in the region of semiarid Brazil is the high variability spatiotemporal rainfall. This paper aims to make a spatial analysis of monthly rainfall in the Taperoá river basin, located in Paraíba semiarid region. This type of study has its importance due to the fact that rainfall is highly variable in time and space scales, and therefore know this variability is of great importance for the management and planning of water resources, especially in semi-arid areas where precipitates values are lower compared to other relatively tropical areas. Therefore, rainfall data were used in 22 rainfall stations, 14 in and 8 out of its bowl. The data were accessed in the DCA / UFCG site, and from them through geoprocessing tools, maps were created that showed the spatial and temporal variability of rainfall. All analyzes were worked through Qgis 2:14 software, and through interpolation techniques maps were generated. The results indicate that BHRT has an irregular seasonal rainfall distribution with a peak in March and April which is the rainy season in the basin and one dry season quite pronounced in the months of September, October and November.
Keywords: rain, variability, geoprocessing.
Downloads
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2016 Rafael Albuquerque Xavier, Jadson dos Santos Maciel, Virgínia Mirtes de Alcântara Silva

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with Revista Brasileira de Geografia Física agree to the following terms:
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Authors are permitted to make their work available online before or during the editorial process, on academic social networks, digital repositories, or preprint servers. After publication in Revista Brasileira de Geografia Física, authors are expected to update the preprint or postprint versions on the platforms where they were originally made available, providing a link to the final published version and any other relevant information, with proper recognition of authorship and the initial publication in this journal.
You are free to:
Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
Adapt — remix, transform, and build upon the material for any purpose, even commercially.
The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.