Assessment of Precipitation Trends in the Sertão Paraibano Mesoregion

Detalhes bibliográficos
Autor(a) principal: Medeiros,Susane Eterna Leite
Data de Publicação: 2018
Outros Autores: Abrahão,Raphael, García-Garizábal,Iker, Peixoto,Idmon Melo B.M., Silva,Louise Pereira da
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Meteorologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862018000200344
Resumo: Abstract The state of Paraíba, located in the northeastern region of Brazil, comprises 223 municipalities and covers an area of 56,469 km2. Paraíba is divided into four major mesoregions: Zona da Mata, Agreste, Borborema and Sertão Paraibano. For this study, the Sertão Paraibano mesoregion, a semiarid area, was chosen to understand vulnerability to climate change, taking into account the region’s economic importance for water and energy supply. The Mann-Kendall non-parametric test was applied to evaluate trends in the historical series of monthly, trimestrial, biannual and annual precipitation data. The series utilized corresponded to the period 1912-2012 and were built from data generated by five meteorological stations distributed throughout the mesoregion. These stations are maintained by the Executive Agency for Water Management (AESA) and National Department of Works Against Drought (DNOCS). The results indicated increasing precipitation trends for the Sertão Paraibano mesoregion, especially in the annual evaluation, for the first semester of the year (January to June), for the trimester December-January-February and the month of January, with slopes between 2.67 mm/year and 5.45 mm/year. The results evidenced the need to deepen studies on the influence of climate change in the area, to promote prompt adaptation measures.
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spelling Assessment of Precipitation Trends in the Sertão Paraibano Mesoregionprecipitationclimate changetrend analysisMann-Kendall testsemiaridBrazilAbstract The state of Paraíba, located in the northeastern region of Brazil, comprises 223 municipalities and covers an area of 56,469 km2. Paraíba is divided into four major mesoregions: Zona da Mata, Agreste, Borborema and Sertão Paraibano. For this study, the Sertão Paraibano mesoregion, a semiarid area, was chosen to understand vulnerability to climate change, taking into account the region’s economic importance for water and energy supply. The Mann-Kendall non-parametric test was applied to evaluate trends in the historical series of monthly, trimestrial, biannual and annual precipitation data. The series utilized corresponded to the period 1912-2012 and were built from data generated by five meteorological stations distributed throughout the mesoregion. These stations are maintained by the Executive Agency for Water Management (AESA) and National Department of Works Against Drought (DNOCS). The results indicated increasing precipitation trends for the Sertão Paraibano mesoregion, especially in the annual evaluation, for the first semester of the year (January to June), for the trimester December-January-February and the month of January, with slopes between 2.67 mm/year and 5.45 mm/year. The results evidenced the need to deepen studies on the influence of climate change in the area, to promote prompt adaptation measures.Sociedade Brasileira de Meteorologia2018-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862018000200344Revista Brasileira de Meteorologia v.33 n.2 2018reponame:Revista Brasileira de Meteorologia (Online)instname:Sociedade Brasileira de Meteorologia (SBMET)instacron:SBMET10.1590/0102-7786332016info:eu-repo/semantics/openAccessMedeiros,Susane Eterna LeiteAbrahão,RaphaelGarcía-Garizábal,IkerPeixoto,Idmon Melo B.M.Silva,Louise Pereira daeng2019-05-27T00:00:00Zoai:scielo:S0102-77862018000200344Revistahttp://www.rbmet.org.br/port/index.phpONGhttps://old.scielo.br/oai/scielo-oai.php||rbmet@rbmet.org.br1982-43510102-7786opendoar:2019-05-27T00:00Revista Brasileira de Meteorologia (Online) - Sociedade Brasileira de Meteorologia (SBMET)false
dc.title.none.fl_str_mv Assessment of Precipitation Trends in the Sertão Paraibano Mesoregion
title Assessment of Precipitation Trends in the Sertão Paraibano Mesoregion
spellingShingle Assessment of Precipitation Trends in the Sertão Paraibano Mesoregion
Medeiros,Susane Eterna Leite
precipitation
climate change
trend analysis
Mann-Kendall test
semiarid
Brazil
title_short Assessment of Precipitation Trends in the Sertão Paraibano Mesoregion
title_full Assessment of Precipitation Trends in the Sertão Paraibano Mesoregion
title_fullStr Assessment of Precipitation Trends in the Sertão Paraibano Mesoregion
title_full_unstemmed Assessment of Precipitation Trends in the Sertão Paraibano Mesoregion
title_sort Assessment of Precipitation Trends in the Sertão Paraibano Mesoregion
author Medeiros,Susane Eterna Leite
author_facet Medeiros,Susane Eterna Leite
Abrahão,Raphael
García-Garizábal,Iker
Peixoto,Idmon Melo B.M.
Silva,Louise Pereira da
author_role author
author2 Abrahão,Raphael
García-Garizábal,Iker
Peixoto,Idmon Melo B.M.
Silva,Louise Pereira da
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Medeiros,Susane Eterna Leite
Abrahão,Raphael
García-Garizábal,Iker
Peixoto,Idmon Melo B.M.
Silva,Louise Pereira da
dc.subject.por.fl_str_mv precipitation
climate change
trend analysis
Mann-Kendall test
semiarid
Brazil
topic precipitation
climate change
trend analysis
Mann-Kendall test
semiarid
Brazil
description Abstract The state of Paraíba, located in the northeastern region of Brazil, comprises 223 municipalities and covers an area of 56,469 km2. Paraíba is divided into four major mesoregions: Zona da Mata, Agreste, Borborema and Sertão Paraibano. For this study, the Sertão Paraibano mesoregion, a semiarid area, was chosen to understand vulnerability to climate change, taking into account the region’s economic importance for water and energy supply. The Mann-Kendall non-parametric test was applied to evaluate trends in the historical series of monthly, trimestrial, biannual and annual precipitation data. The series utilized corresponded to the period 1912-2012 and were built from data generated by five meteorological stations distributed throughout the mesoregion. These stations are maintained by the Executive Agency for Water Management (AESA) and National Department of Works Against Drought (DNOCS). The results indicated increasing precipitation trends for the Sertão Paraibano mesoregion, especially in the annual evaluation, for the first semester of the year (January to June), for the trimester December-January-February and the month of January, with slopes between 2.67 mm/year and 5.45 mm/year. The results evidenced the need to deepen studies on the influence of climate change in the area, to promote prompt adaptation measures.
publishDate 2018
dc.date.none.fl_str_mv 2018-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862018000200344
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862018000200344
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0102-7786332016
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Meteorologia
publisher.none.fl_str_mv Sociedade Brasileira de Meteorologia
dc.source.none.fl_str_mv Revista Brasileira de Meteorologia v.33 n.2 2018
reponame:Revista Brasileira de Meteorologia (Online)
instname:Sociedade Brasileira de Meteorologia (SBMET)
instacron:SBMET
instname_str Sociedade Brasileira de Meteorologia (SBMET)
instacron_str SBMET
institution SBMET
reponame_str Revista Brasileira de Meteorologia (Online)
collection Revista Brasileira de Meteorologia (Online)
repository.name.fl_str_mv Revista Brasileira de Meteorologia (Online) - Sociedade Brasileira de Meteorologia (SBMET)
repository.mail.fl_str_mv ||rbmet@rbmet.org.br
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