Spatial variability of water electrical conductivity in underground dam areas in the semi-arid region of Rio Grande do Norte, Brazil

Detalhes bibliográficos
Autor(a) principal: Chianca, Cibele Gouveia Costa
Data de Publicação: 2023
Outros Autores: Batista , Rafael Oliveira, Melo, Stefeson Bezerra de, Dias, Nildo da Silva, Matos, Maria de Fátima Alves de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Caatinga
Texto Completo: https://periodicos.ufersa.edu.br/caatinga/article/view/10573
Resumo: Underground dams have been widely deployed in the semi-arid region of Rio Grande do Norte, a state in the Brazilian Northeast, aiming to mitigate the effects caused by water scarcity. In this study, the geographic distribution of the electrical conductivity of water of underground dams was evaluated at the end of the dry season of 2018 and at the end of the rainy season of 2019. Maps were created in ArcGIS 10.4.1 software using the Inverse Distance Weighted interpolator. The results indicated high electrical conductivity variability in the evaluated underground dams. The highest values were obtained in the eastern portion of the Rio Grande do Norte state, except for two dams, located in the municipalities of Apodi and Severiano Melo. In most of the underground dams (64%), the water has an electrical conductivity with low soil salinization potential (EC < 0.7 dS m-1). It was observed that the salinity of the underground dams is influenced by several factors, such as climate, relief, land use and occupation due to rural agglomerations and animal husbandry in the dam hydrographic basin, and intensive nutritional management with fertilizers in the dam area.
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spelling Spatial variability of water electrical conductivity in underground dam areas in the semi-arid region of Rio Grande do Norte, BrazilVariabilidade espacial da condutividade elétrica da água em áreas de barragens subterrâneas do semiárido potiguarAquífero aluvial. Salinidade. Geoestatística. Interpolação.Alluvial aquifer. Salinity. Geostatistics. Interpolation.Underground dams have been widely deployed in the semi-arid region of Rio Grande do Norte, a state in the Brazilian Northeast, aiming to mitigate the effects caused by water scarcity. In this study, the geographic distribution of the electrical conductivity of water of underground dams was evaluated at the end of the dry season of 2018 and at the end of the rainy season of 2019. Maps were created in ArcGIS 10.4.1 software using the Inverse Distance Weighted interpolator. The results indicated high electrical conductivity variability in the evaluated underground dams. The highest values were obtained in the eastern portion of the Rio Grande do Norte state, except for two dams, located in the municipalities of Apodi and Severiano Melo. In most of the underground dams (64%), the water has an electrical conductivity with low soil salinization potential (EC < 0.7 dS m-1). It was observed that the salinity of the underground dams is influenced by several factors, such as climate, relief, land use and occupation due to rural agglomerations and animal husbandry in the dam hydrographic basin, and intensive nutritional management with fertilizers in the dam area.As barragens subterrâneas é uma tecnologia de convivência com a seca amplamente construída na zana semiárida do Rio Grande do Norte como garantia da segurança hídrica devido à escassez de água superficial. Neste trabalho avaliou-se a distribuição geográfica da condutividade elétrica da água (CEa) de barragens subterrâneas, no final do período seco de 2018 e no final do período chuvoso de 2019. Após a coleta e análise da CE da água das barragens foram elaborados os mapas utilizado o software ArcGIS 10.4.1, com auxílio do interpolador de ponderação do inverso da distância. Os resultados indicaram grande variabilidade da CEa nas barragens avaliadas, sendo os maiores valores de CEa registrados nas barragens situadas na porção leste do estado do Rio Grande do Norte – Classes C2 e C3, exceto nas duas barragens localizadas nos municípios de Apodi e Severiano Melo. A maioria das águas das barragens (64%), devido à baixa CEa, não tem restrição de uso quanto aos riscos de acúmulo de sais quando utilizadas para a irrigação (CE < 0,7 dS m-1). Observou-se que a salinidade das barragens é influenciada por fatores edafoclimáticos, uso e ocupação do solo e, ainda pela presença de aglomerados rurais, criação de animais na bacia hidrográfica da barragem e, pelo uso intensivo do manejo nutricional com fertilizantes na área do barramento.Universidade Federal Rural do Semi-Árido2023-07-18info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufersa.edu.br/caatinga/article/view/1057310.1590/1983-21252023v36n317rcREVISTA CAATINGA; Vol. 36 No. 3 (2023); 639-649Revista Caatinga; v. 36 n. 3 (2023); 639-6491983-21250100-316Xreponame:Revista Caatingainstname:Universidade Federal Rural do Semi-Árido (UFERSA)instacron:UFERSAenghttps://periodicos.ufersa.edu.br/caatinga/article/view/10573/11291Copyright (c) 2023 Revista Caatingainfo:eu-repo/semantics/openAccessChianca, Cibele Gouveia Costa Batista , Rafael OliveiraMelo, Stefeson Bezerra deDias, Nildo da SilvaMatos, Maria de Fátima Alves de2023-07-18T12:28:08Zoai:ojs.periodicos.ufersa.edu.br:article/10573Revistahttps://periodicos.ufersa.edu.br/index.php/caatinga/indexPUBhttps://periodicos.ufersa.edu.br/index.php/caatinga/oaipatricio@ufersa.edu.br|| caatinga@ufersa.edu.br1983-21250100-316Xopendoar:2024-04-29T09:46:57.297134Revista Caatinga - Universidade Federal Rural do Semi-Árido (UFERSA)true
dc.title.none.fl_str_mv Spatial variability of water electrical conductivity in underground dam areas in the semi-arid region of Rio Grande do Norte, Brazil
Variabilidade espacial da condutividade elétrica da água em áreas de barragens subterrâneas do semiárido potiguar
title Spatial variability of water electrical conductivity in underground dam areas in the semi-arid region of Rio Grande do Norte, Brazil
spellingShingle Spatial variability of water electrical conductivity in underground dam areas in the semi-arid region of Rio Grande do Norte, Brazil
Chianca, Cibele Gouveia Costa
Aquífero aluvial. Salinidade. Geoestatística. Interpolação.
Alluvial aquifer. Salinity. Geostatistics. Interpolation.
title_short Spatial variability of water electrical conductivity in underground dam areas in the semi-arid region of Rio Grande do Norte, Brazil
title_full Spatial variability of water electrical conductivity in underground dam areas in the semi-arid region of Rio Grande do Norte, Brazil
title_fullStr Spatial variability of water electrical conductivity in underground dam areas in the semi-arid region of Rio Grande do Norte, Brazil
title_full_unstemmed Spatial variability of water electrical conductivity in underground dam areas in the semi-arid region of Rio Grande do Norte, Brazil
title_sort Spatial variability of water electrical conductivity in underground dam areas in the semi-arid region of Rio Grande do Norte, Brazil
author Chianca, Cibele Gouveia Costa
author_facet Chianca, Cibele Gouveia Costa
Batista , Rafael Oliveira
Melo, Stefeson Bezerra de
Dias, Nildo da Silva
Matos, Maria de Fátima Alves de
author_role author
author2 Batista , Rafael Oliveira
Melo, Stefeson Bezerra de
Dias, Nildo da Silva
Matos, Maria de Fátima Alves de
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Chianca, Cibele Gouveia Costa
Batista , Rafael Oliveira
Melo, Stefeson Bezerra de
Dias, Nildo da Silva
Matos, Maria de Fátima Alves de
dc.subject.por.fl_str_mv Aquífero aluvial. Salinidade. Geoestatística. Interpolação.
Alluvial aquifer. Salinity. Geostatistics. Interpolation.
topic Aquífero aluvial. Salinidade. Geoestatística. Interpolação.
Alluvial aquifer. Salinity. Geostatistics. Interpolation.
description Underground dams have been widely deployed in the semi-arid region of Rio Grande do Norte, a state in the Brazilian Northeast, aiming to mitigate the effects caused by water scarcity. In this study, the geographic distribution of the electrical conductivity of water of underground dams was evaluated at the end of the dry season of 2018 and at the end of the rainy season of 2019. Maps were created in ArcGIS 10.4.1 software using the Inverse Distance Weighted interpolator. The results indicated high electrical conductivity variability in the evaluated underground dams. The highest values were obtained in the eastern portion of the Rio Grande do Norte state, except for two dams, located in the municipalities of Apodi and Severiano Melo. In most of the underground dams (64%), the water has an electrical conductivity with low soil salinization potential (EC < 0.7 dS m-1). It was observed that the salinity of the underground dams is influenced by several factors, such as climate, relief, land use and occupation due to rural agglomerations and animal husbandry in the dam hydrographic basin, and intensive nutritional management with fertilizers in the dam area.
publishDate 2023
dc.date.none.fl_str_mv 2023-07-18
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.ufersa.edu.br/caatinga/article/view/10573
10.1590/1983-21252023v36n317rc
url https://periodicos.ufersa.edu.br/caatinga/article/view/10573
identifier_str_mv 10.1590/1983-21252023v36n317rc
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.ufersa.edu.br/caatinga/article/view/10573/11291
dc.rights.driver.fl_str_mv Copyright (c) 2023 Revista Caatinga
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2023 Revista Caatinga
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal Rural do Semi-Árido
publisher.none.fl_str_mv Universidade Federal Rural do Semi-Árido
dc.source.none.fl_str_mv REVISTA CAATINGA; Vol. 36 No. 3 (2023); 639-649
Revista Caatinga; v. 36 n. 3 (2023); 639-649
1983-2125
0100-316X
reponame:Revista Caatinga
instname:Universidade Federal Rural do Semi-Árido (UFERSA)
instacron:UFERSA
instname_str Universidade Federal Rural do Semi-Árido (UFERSA)
instacron_str UFERSA
institution UFERSA
reponame_str Revista Caatinga
collection Revista Caatinga
repository.name.fl_str_mv Revista Caatinga - Universidade Federal Rural do Semi-Árido (UFERSA)
repository.mail.fl_str_mv patricio@ufersa.edu.br|| caatinga@ufersa.edu.br
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