Rainwater Capture and Storage Potential for Water Security in Part of the Brazilian Continental Region Using Modeling

Detalhes bibliográficos
Autor(a) principal: Francisco, Paulo Roberto Megna
Data de Publicação: 2024
Outros Autores: Simplicio de Sousa, José Hugo, Ribeiro , George do Nascimento, Silva, José Nilton
Tipo de documento: Artigo
Idioma: por
Título da fonte: Revista Geama
Texto Completo: https://www.journals.ufrpe.br/index.php/geama/article/view/6944
Resumo: Water, in addition to being a vital resource and extremely important as a production factor for various activities, is an essential source for economic and technological development. This work aimed to estimate and map the potential for rainwater capture and storage for part of the Brazilian continental region using modeling. Average monthly rainfall data from 1970 to 2000 from WorldClim® was used. In QGIS® 3.6.2, maps of the potential for capture and storage of 150, 300, 500 and 1,000 m2 of coverage were generated for human consumption of 160.6 m3 year and for corn cultivation 280mm annually. Zonal statistics were performed using SAGA® 9.2 and using the QGIS® RStudio® plugin, the qqplots were generated. The results demonstrated that the use of GIS modeling proved to be efficient and fast, providing satisfactory results. To guarantee human consumption, it was observed that the coverage for rainwater collection must be above 300 m2 for the semi-arid region. The use of the boardwalk system (1,000 m2) to capture water to guarantee corn cultivation must be used in States located in the semi-arid region. For the northern region of Minas Gerais, the capture and storage of rainwater is recommended. For Amapá and Maranhão, rainwater collection and storage is optional.
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spelling Rainwater Capture and Storage Potential for Water Security in Part of the Brazilian Continental Region Using ModelingPotencial de captação e armazenamento de água de chuva para segurança hídrica de parte da região continental brasileira utilizando modelagem B-Splinerainwater collection storage geoprocessing zonal statisticságuas pluviais coleta armazenagem geoprocessamento estatística zonalWater, in addition to being a vital resource and extremely important as a production factor for various activities, is an essential source for economic and technological development. This work aimed to estimate and map the potential for rainwater capture and storage for part of the Brazilian continental region using modeling. Average monthly rainfall data from 1970 to 2000 from WorldClim® was used. In QGIS® 3.6.2, maps of the potential for capture and storage of 150, 300, 500 and 1,000 m2 of coverage were generated for human consumption of 160.6 m3 year and for corn cultivation 280mm annually. Zonal statistics were performed using SAGA® 9.2 and using the QGIS® RStudio® plugin, the qqplots were generated. The results demonstrated that the use of GIS modeling proved to be efficient and fast, providing satisfactory results. To guarantee human consumption, it was observed that the coverage for rainwater collection must be above 300 m2 for the semi-arid region. The use of the boardwalk system (1,000 m2) to capture water to guarantee corn cultivation must be used in States located in the semi-arid region. For the northern region of Minas Gerais, the capture and storage of rainwater is recommended. For Amapá and Maranhão, rainwater collection and storage is optional.A água, além de ser um recurso vital e de extrema importância como fator de produção para diversas atividades, é fonte essencial para que haja desenvolvimento econômico e tecnológico. Este trabalho objetivou estimar e mapear o potencial de captação e armazenamento de água de chuva para parte da região continental brasileira utilizando modelagem. Foram utilizados dados de pluviosidade média mensal de 1970 a 2000 do WorldClim®. No QGIS® 3.6.2 foram gerados mapas de potencial de captação e armazenamento de 150, 300, 500 e 1.000 m2 de cobertura para um consumo humano de 160,6 m3.ano e para a cultura do milho 280mm anual. Foi realizada a estatística zonal através do SAGA® 9.2 e utilizando o plugin do RStudio® do QGIS® foram gerados os qqplots. Os resultados demonstraram que, o uso da modelagem em SIG se mostrou eficiente e rápida onde apresentou resultados satisfatórios. Para a garantia do consumo humano observou-se que a cobertura para captação de água de chuva deve ser acima de 300 m2 para a região semiárida. O uso do sistema de calçadão (1.000 m2) para captação de água para a garantia do cultivo de milho deve ser utilizada nos Estados localizados na região semiárida. Para a região norte de Minas Gerais é recomendada a captação e armazenamento de água de chuva. Para o Amapá e Maranhão é opcional a captação e armazenamento de água de chuva.Geama Journal - Environmental SciencesRevista Geama2024-08-29info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.journals.ufrpe.br/index.php/geama/article/view/6944Geama Journal - Environmental Sciences; Vol. 10 No. 2 (2024): .; 39-49Revista Geama; v. 10 n. 2 (2024): Revista GEAMA; 39-492447-0740reponame:Revista Geamainstname:Universidade Federal Rural de Pernambuco (UFRPE)instacron:UFRPEporhttps://www.journals.ufrpe.br/index.php/geama/article/view/6944/482485356Copyright (c) 2024 Revista Geamahttps://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessFrancisco, Paulo Roberto MegnaSimplicio de Sousa, José HugoRibeiro , George do NascimentoSilva, José Nilton2024-08-29T14:59:10Zoai:ojs.10.0.7.8:article/6944Revistahttps://www.journals.ufrpe.br/index.php/geamaPUBhttps://www.journals.ufrpe.br/index.php/geama/oaijosemachado@ufrpe.br2447-07402447-0740opendoar:2024-08-29T14:59:10Revista Geama - Universidade Federal Rural de Pernambuco (UFRPE)false
dc.title.none.fl_str_mv Rainwater Capture and Storage Potential for Water Security in Part of the Brazilian Continental Region Using Modeling
Potencial de captação e armazenamento de água de chuva para segurança hídrica de parte da região continental brasileira utilizando modelagem B-Spline
title Rainwater Capture and Storage Potential for Water Security in Part of the Brazilian Continental Region Using Modeling
spellingShingle Rainwater Capture and Storage Potential for Water Security in Part of the Brazilian Continental Region Using Modeling
Francisco, Paulo Roberto Megna
rainwater collection storage geoprocessing zonal statistics
águas pluviais coleta armazenagem geoprocessamento estatística zonal
title_short Rainwater Capture and Storage Potential for Water Security in Part of the Brazilian Continental Region Using Modeling
title_full Rainwater Capture and Storage Potential for Water Security in Part of the Brazilian Continental Region Using Modeling
title_fullStr Rainwater Capture and Storage Potential for Water Security in Part of the Brazilian Continental Region Using Modeling
title_full_unstemmed Rainwater Capture and Storage Potential for Water Security in Part of the Brazilian Continental Region Using Modeling
title_sort Rainwater Capture and Storage Potential for Water Security in Part of the Brazilian Continental Region Using Modeling
author Francisco, Paulo Roberto Megna
author_facet Francisco, Paulo Roberto Megna
Simplicio de Sousa, José Hugo
Ribeiro , George do Nascimento
Silva, José Nilton
author_role author
author2 Simplicio de Sousa, José Hugo
Ribeiro , George do Nascimento
Silva, José Nilton
author2_role author
author
author
dc.contributor.author.fl_str_mv Francisco, Paulo Roberto Megna
Simplicio de Sousa, José Hugo
Ribeiro , George do Nascimento
Silva, José Nilton
dc.subject.por.fl_str_mv rainwater collection storage geoprocessing zonal statistics
águas pluviais coleta armazenagem geoprocessamento estatística zonal
topic rainwater collection storage geoprocessing zonal statistics
águas pluviais coleta armazenagem geoprocessamento estatística zonal
description Water, in addition to being a vital resource and extremely important as a production factor for various activities, is an essential source for economic and technological development. This work aimed to estimate and map the potential for rainwater capture and storage for part of the Brazilian continental region using modeling. Average monthly rainfall data from 1970 to 2000 from WorldClim® was used. In QGIS® 3.6.2, maps of the potential for capture and storage of 150, 300, 500 and 1,000 m2 of coverage were generated for human consumption of 160.6 m3 year and for corn cultivation 280mm annually. Zonal statistics were performed using SAGA® 9.2 and using the QGIS® RStudio® plugin, the qqplots were generated. The results demonstrated that the use of GIS modeling proved to be efficient and fast, providing satisfactory results. To guarantee human consumption, it was observed that the coverage for rainwater collection must be above 300 m2 for the semi-arid region. The use of the boardwalk system (1,000 m2) to capture water to guarantee corn cultivation must be used in States located in the semi-arid region. For the northern region of Minas Gerais, the capture and storage of rainwater is recommended. For Amapá and Maranhão, rainwater collection and storage is optional.
publishDate 2024
dc.date.none.fl_str_mv 2024-08-29
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://www.journals.ufrpe.br/index.php/geama/article/view/6944
url https://www.journals.ufrpe.br/index.php/geama/article/view/6944
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://www.journals.ufrpe.br/index.php/geama/article/view/6944/482485356
dc.rights.driver.fl_str_mv Copyright (c) 2024 Revista Geama
https://creativecommons.org/licenses/by-nc-sa/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2024 Revista Geama
https://creativecommons.org/licenses/by-nc-sa/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Geama Journal - Environmental Sciences
Revista Geama
publisher.none.fl_str_mv Geama Journal - Environmental Sciences
Revista Geama
dc.source.none.fl_str_mv Geama Journal - Environmental Sciences; Vol. 10 No. 2 (2024): .; 39-49
Revista Geama; v. 10 n. 2 (2024): Revista GEAMA; 39-49
2447-0740
reponame:Revista Geama
instname:Universidade Federal Rural de Pernambuco (UFRPE)
instacron:UFRPE
instname_str Universidade Federal Rural de Pernambuco (UFRPE)
instacron_str UFRPE
institution UFRPE
reponame_str Revista Geama
collection Revista Geama
repository.name.fl_str_mv Revista Geama - Universidade Federal Rural de Pernambuco (UFRPE)
repository.mail.fl_str_mv josemachado@ufrpe.br
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