SPACIALIZATION OF RAINS IN A HYDROGRAPHIC BASIN IN THE SEMIARID OF PARAÍBA

Bibliographic Details
Main Author: Rodrigues, Jeferson Mauricio
Publication Date: 2020
Format: Article
Language: por
eng
Source: Revista de Geociências do Nordeste
Download full: https://periodicos.ufrn.br/revistadoregne/article/view/18143
Summary: The northeastern semiarid region of Brazil has high temperatures associated with low rainfall, which occur intensely and are poorly distributed throughout the geographical space. From this perspective, there is a need to understand the dynamics of rainfall in the dry perimeter in order to substantiate the various forms of water resources management. However, the availability of rainfall data in this region is sometimes scarce, which implies interpolation as a way of understanding the distribution or spatialization of rainfall in various spatial cutouts. Quantitative analysis of rainfall data allows us to understand the dynamics and relationship with the main precipitation systems of a given study area. Thus, the objective of this work is to quantify and spacialize the rainfall data correlating them with the rain producing systems between the wettest and driest year of the Piranhas River Upper Course drainage basin, Semiarid - PB between January 1996 and December 2016. Given the above, it was  identified that the year 2008 was the wettest and 2012 the driest in the series, and that ITCZ’s performance varies year-on-year according to SSM temperature.
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spelling SPACIALIZATION OF RAINS IN A HYDROGRAPHIC BASIN IN THE SEMIARID OF PARAÍBAESPACIALIZACIÓN DE LA LLUVIA EN UNA CUENCA HIDROGRÁFICA EN LA SEMIÁRIDA DE PARAÍBAESPACIALIZAÇÃO DAS CHUVAS EM UMA BACIA HIDROGRÁFICA NO SEMIÁRIDO DA PARAÍBAThe northeastern semiarid region of Brazil has high temperatures associated with low rainfall, which occur intensely and are poorly distributed throughout the geographical space. From this perspective, there is a need to understand the dynamics of rainfall in the dry perimeter in order to substantiate the various forms of water resources management. However, the availability of rainfall data in this region is sometimes scarce, which implies interpolation as a way of understanding the distribution or spatialization of rainfall in various spatial cutouts. Quantitative analysis of rainfall data allows us to understand the dynamics and relationship with the main precipitation systems of a given study area. Thus, the objective of this work is to quantify and spacialize the rainfall data correlating them with the rain producing systems between the wettest and driest year of the Piranhas River Upper Course drainage basin, Semiarid - PB between January 1996 and December 2016. Given the above, it was  identified that the year 2008 was the wettest and 2012 the driest in the series, and that ITCZ’s performance varies year-on-year according to SSM temperature.La región semiárida del noreste de Brasil tiene altas temperaturas asociadas con bajos valores de lluvia, que ocurren de manera intensa y mal distribuida en el espacio geográfico. Desde esta perspectiva, es necesario comprender la dinámica de las precipitaciones en el perímetro seco para apoyar las diversas formas de gestión de los recursos hídricos. Sin embargo, la disponibilidad de datos pluviométricos en esta región a veces es escasa, lo que implica la interpolación como un medio para comprender la distribución o espacialización de la lluvia en diferentes áreas espaciales. Los análisis cuantitativos de los datos de lluvia nos permiten comprender la dinámica y la relación con los principales sistemas de precipitación en un área de estudio determinada. Por lo tanto, el objetivo de este trabajo es cuantificar y espacializar los datos de lluvia correlacionándolos con los sistemas productores de lluvia entre un año más lluvioso y un año más seco en la cuenca de drenaje del curso superior del río Pirañas, semiárido (PB) entre enero 1996 y diciembre de 2016. Dado lo anterior, fue posible identificar que 2008 fue el año más lluvioso y 2012 fue el más seco de la serie, y que el rendimiento de ZCIT varía año tras año en los años respectivos de acuerdo con la temperatura del TSM.O semiárido nordestino do Brasil apresenta altas temperaturas associadas a baixos valores pluviométricos, que ocorrem de forma intensa e mal distribuída no espaço geográfico. Nessa perspectiva, existe a necessidade de compreensão da dinâmica das chuvas no perímetro seco no intuito de fundamentar as diversas formas de gestão dos recursos hídricos. No entanto, a disponibilidade de dados pluviométricos nessa região por vezes é escassa, o que implica a interpolação como meio de compreensão da distribuição ou espacialização das chuvas em diversos recortes espaciais. As análises quantitativas dos dados de chuva permitem compreender a dinâmica e relação com os principais sistemas de precipitação de determinada área de estudo. Sendo assim, o objetivo deste trabalho é quantificar e espacializar os dados de chuva correlacionando-os com os sistemas produtores de chuva entre um ano mais chuvoso e outro seco da bacia de drenagem do Alto Curso do Rio Piranhas, Semiárido (PB) entre janeiro de 1996 e dezembro de 2016. Dado o exposto, foi possível identificar que o ano de 2008 foi o mais chuvoso e 2012 o mais seco da série, e que a atuação da ZCIT varia interanualmente nos respectivos anos de acordo com a temperatura da TSM.Universidade Federal do Rio Grande do Norte2020-05-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://periodicos.ufrn.br/revistadoregne/article/view/1814310.21680/2447-3359.2020v6n1ID18143Revista de Geociências do Nordeste; v. 6 n. 1 (2020); 28-352447-335910.21680/2447-3359.2020v6n1reponame:Revista de Geociências do Nordesteinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNporenghttps://periodicos.ufrn.br/revistadoregne/article/view/18143/12780https://periodicos.ufrn.br/revistadoregne/article/view/18143/12781Copyright (c) 2020 Revista de Geociências do Nordesteinfo:eu-repo/semantics/openAccessRodrigues, Jeferson Mauricio2020-10-27T15:34:10Zoai:periodicos.ufrn.br:article/18143Revistahttps://periodicos.ufrn.br/revistadoregne/indexPUBhttps://periodicos.ufrn.br/revistadoregne/oairegneufrn@gmail.com || periodicos@bczm.ufrn.br2447-33592447-3359opendoar:2020-10-27T15:34:10Revista de Geociências do Nordeste - Universidade Federal do Rio Grande do Norte (UFRN)false
dc.title.none.fl_str_mv SPACIALIZATION OF RAINS IN A HYDROGRAPHIC BASIN IN THE SEMIARID OF PARAÍBA
ESPACIALIZACIÓN DE LA LLUVIA EN UNA CUENCA HIDROGRÁFICA EN LA SEMIÁRIDA DE PARAÍBA
ESPACIALIZAÇÃO DAS CHUVAS EM UMA BACIA HIDROGRÁFICA NO SEMIÁRIDO DA PARAÍBA
title SPACIALIZATION OF RAINS IN A HYDROGRAPHIC BASIN IN THE SEMIARID OF PARAÍBA
spellingShingle SPACIALIZATION OF RAINS IN A HYDROGRAPHIC BASIN IN THE SEMIARID OF PARAÍBA
Rodrigues, Jeferson Mauricio
title_short SPACIALIZATION OF RAINS IN A HYDROGRAPHIC BASIN IN THE SEMIARID OF PARAÍBA
title_full SPACIALIZATION OF RAINS IN A HYDROGRAPHIC BASIN IN THE SEMIARID OF PARAÍBA
title_fullStr SPACIALIZATION OF RAINS IN A HYDROGRAPHIC BASIN IN THE SEMIARID OF PARAÍBA
title_full_unstemmed SPACIALIZATION OF RAINS IN A HYDROGRAPHIC BASIN IN THE SEMIARID OF PARAÍBA
title_sort SPACIALIZATION OF RAINS IN A HYDROGRAPHIC BASIN IN THE SEMIARID OF PARAÍBA
author Rodrigues, Jeferson Mauricio
author_facet Rodrigues, Jeferson Mauricio
author_role author
dc.contributor.author.fl_str_mv Rodrigues, Jeferson Mauricio
description The northeastern semiarid region of Brazil has high temperatures associated with low rainfall, which occur intensely and are poorly distributed throughout the geographical space. From this perspective, there is a need to understand the dynamics of rainfall in the dry perimeter in order to substantiate the various forms of water resources management. However, the availability of rainfall data in this region is sometimes scarce, which implies interpolation as a way of understanding the distribution or spatialization of rainfall in various spatial cutouts. Quantitative analysis of rainfall data allows us to understand the dynamics and relationship with the main precipitation systems of a given study area. Thus, the objective of this work is to quantify and spacialize the rainfall data correlating them with the rain producing systems between the wettest and driest year of the Piranhas River Upper Course drainage basin, Semiarid - PB between January 1996 and December 2016. Given the above, it was  identified that the year 2008 was the wettest and 2012 the driest in the series, and that ITCZ’s performance varies year-on-year according to SSM temperature.
publishDate 2020
dc.date.none.fl_str_mv 2020-05-16
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://periodicos.ufrn.br/revistadoregne/article/view/18143
10.21680/2447-3359.2020v6n1ID18143
url https://periodicos.ufrn.br/revistadoregne/article/view/18143
identifier_str_mv 10.21680/2447-3359.2020v6n1ID18143
dc.language.iso.fl_str_mv por
eng
language por
eng
dc.relation.none.fl_str_mv https://periodicos.ufrn.br/revistadoregne/article/view/18143/12780
https://periodicos.ufrn.br/revistadoregne/article/view/18143/12781
dc.rights.driver.fl_str_mv Copyright (c) 2020 Revista de Geociências do Nordeste
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Revista de Geociências do Nordeste
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidade Federal do Rio Grande do Norte
publisher.none.fl_str_mv Universidade Federal do Rio Grande do Norte
dc.source.none.fl_str_mv Revista de Geociências do Nordeste; v. 6 n. 1 (2020); 28-35
2447-3359
10.21680/2447-3359.2020v6n1
reponame:Revista de Geociências do Nordeste
instname:Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN
instname_str Universidade Federal do Rio Grande do Norte (UFRN)
instacron_str UFRN
institution UFRN
reponame_str Revista de Geociências do Nordeste
collection Revista de Geociências do Nordeste
repository.name.fl_str_mv Revista de Geociências do Nordeste - Universidade Federal do Rio Grande do Norte (UFRN)
repository.mail.fl_str_mv regneufrn@gmail.com || periodicos@bczm.ufrn.br
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