Maximum erosive isoline by the krigage method in the Paraíba river hydrographic basin, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/4218 |
Resumo: | Rain erosivity discloses the rainfall capacity of a region to generate erosion. The objective is to study the geospatialized variability by generating charts of the monthly and annual rainfall erosivity index considering the equation of soil loss, erosion return time, probability and erosive classification in addition to the rainfall coefficient of the Paraíba River hydrographic basin. Monthly and annual rainfall data for the period 1962-2018 were used. Quantitative research conducted by rainfall data. The use of data was proceeded from analysis with regard to filling in gaps, consistency, homogenization. To estimate the rainfall erosivity index, the methodology suggested by Wischmeier was applied and using Bertoni's simple equation. It is known that the environmental problems experienced in a certain area interfere in the entire basin, causing direct impacts of silting and degradation. There is a need for prior planning of land for the implantation of orchards and fruitful agricultural projects, so that land displacement does not occur, supported by monitoring the changes that occur in the soil, in hillside regions, considering the level curves of the ground. The arable areas and their surroundings are located throughout its territory, having its climatic regions with different erosive potentials. Therefore, knowledge of this potential will be of enormous value in choosing soil management practices in order to control its erosion process. The completion of this study comes to contribute to regional or local planning and management policies, where it will contribute as a subsidy to new study developments. |
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Maximum erosive isoline by the krigage method in the Paraíba river hydrographic basin, BrazilIsolina erosiva máxima por el método krigage en la cuenca hidrográfica del río Paraíba, BrasilIsolinha erosiva máxima pelo método da krigagem na bacia hidrográfica do rio Paraíba, BrasilFluctuaciones de lluviaCambio climáticoSuelosCubierta vegetal.Flutuações pluviaismudanças climáticassolos e cobertura vegetal.Rain fluctuationsClimate changeSoilsVegetation cover.Rain erosivity discloses the rainfall capacity of a region to generate erosion. The objective is to study the geospatialized variability by generating charts of the monthly and annual rainfall erosivity index considering the equation of soil loss, erosion return time, probability and erosive classification in addition to the rainfall coefficient of the Paraíba River hydrographic basin. Monthly and annual rainfall data for the period 1962-2018 were used. Quantitative research conducted by rainfall data. The use of data was proceeded from analysis with regard to filling in gaps, consistency, homogenization. To estimate the rainfall erosivity index, the methodology suggested by Wischmeier was applied and using Bertoni's simple equation. It is known that the environmental problems experienced in a certain area interfere in the entire basin, causing direct impacts of silting and degradation. There is a need for prior planning of land for the implantation of orchards and fruitful agricultural projects, so that land displacement does not occur, supported by monitoring the changes that occur in the soil, in hillside regions, considering the level curves of the ground. The arable areas and their surroundings are located throughout its territory, having its climatic regions with different erosive potentials. Therefore, knowledge of this potential will be of enormous value in choosing soil management practices in order to control its erosion process. The completion of this study comes to contribute to regional or local planning and management policies, where it will contribute as a subsidy to new study developments.La erosividad de la lluvia revela la capacidad de lluvia de una región para generar erosión. El objetivo es estudiar la variabilidad geoespacializada mediante la generación de gráficos del índice de erosividad por lluvia mensual y anual considerando la ecuación de pérdida de suelo, tiempo de retorno de la erosión, probabilidad y clasificación erosiva, además del coeficiente de lluvia de la cuenca hidrográfica del río Paraíba. Se utilizaron datos de precipitaciones mensuales y anuales para el período 1962-2018. Investigación cuantitativa realizada por datos de lluvia. El uso de los datos se realizó a partir del análisis con respecto al relleno de huecos, consistencia, homogeneización. Para estimar el índice de erosividad de la lluvia, se aplicó la metodología sugerida por Wischmeier y se usó la ecuación simple de Bertoni. Se sabe que los problemas ambientales experimentados en un área determinada interfieren en toda la cuenca, causando impactos directos de sedimentación y degradación. Existe la necesidad de una planificación previa de la tierra para la implantación de huertos y proyectos agrícolas fructíferos, de modo que no ocurra el desplazamiento de la tierra, respaldado por el monitoreo de los cambios que ocurren en el suelo, en las regiones de laderas, considerando las curvas de nivel de la terreno. Las áreas cultivables y sus alrededores están ubicadas en todo su territorio, teniendo sus regiones climáticas con diferentes potenciales erosivos. Por lo tanto, el conocimiento de este potencial será de enorme valor al elegir las prácticas de manejo del suelo para controlar su proceso de erosión. La finalización de este estudio contribuye a las políticas regionales o locales de planificación y gestión, donde contribuirá como subsidio a los nuevos desarrollos del estudio.A erosividade pluvial divulga a capacidade das chuvas de uma região de gerar erosão. Objetiva-se estudar a variabilidade geoespacionalizada gerando cartas do índice da erosividade da chuva mensal e anual com base na equação universal de perda do solo, tempo de retorno, probabilidade e classificação erosiva além do coeficiente de chuva na bacia hidrográfica do rio Paraíba. Utilizou-se de séries de dados mensais e anuais de precipitação do período de 1962-2018. A utilização dos dados foi procedida de análise no tocante ao preenchimento de falhas, consistência, homogeneização. Na estimativa do índice de erosividade pluvial, utilizou-se da metodologia proposta por Wischmeier e fazendo uso da equação simplificada por Bertoni. Sabe-se que os problemas ambientais transcorridos em determinada área interferem em toda a bacia causando impactos diretos de assoreamento e de degradação. Existe a necessidade do planejamento prévio de terrenos para implantação de pomares e de projetos agrícolas frutíferos, para que não ocorra o deslocamento de terra, amparado num monitoramento das mudanças que ocorrem no solo, em regiões de encosta, considerando-se as curvas de níveis do terreno. As áreas agricultáveis e seu entorno localizam-se ao longo de todo seu território tendo, suas regiões climáticas com diferentes potenciais erosivos. Logo, o conhecimento deste potencial será de enorme valor para escolha de práticas de manejo do solo visando controlar o seu processo erosivo. A concretização deste estudo vem a contribuir para políticas de planejamento e gestão regional ou local, onde, contribuirá como subsidio a novos desenvolvimentos de estudos. Research, Society and Development2020-05-22info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/421810.33448/rsd-v9i7.4218Research, Society and Development; Vol. 9 No. 7; e472974218Research, Society and Development; Vol. 9 Núm. 7; e472974218Research, Society and Development; v. 9 n. 7; e4729742182525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/4218/3644Copyright (c) 2020 Manoel Vieira de França, Raimundo Mainar de Medeiros, WAGNER RODOLFO DE ARAÚJOinfo:eu-repo/semantics/openAccessFrança, Manoel Vieira deMedeiros, Raimundo Mainar deAraújo, Wagner Rodolfo de2020-08-20T18:05:03Zoai:ojs.pkp.sfu.ca:article/4218Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:28:08.511915Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Maximum erosive isoline by the krigage method in the Paraíba river hydrographic basin, Brazil Isolina erosiva máxima por el método krigage en la cuenca hidrográfica del río Paraíba, Brasil Isolinha erosiva máxima pelo método da krigagem na bacia hidrográfica do rio Paraíba, Brasil |
title |
Maximum erosive isoline by the krigage method in the Paraíba river hydrographic basin, Brazil |
spellingShingle |
Maximum erosive isoline by the krigage method in the Paraíba river hydrographic basin, Brazil França, Manoel Vieira de Fluctuaciones de lluvia Cambio climático Suelos Cubierta vegetal. Flutuações pluviais mudanças climáticas solos e cobertura vegetal. Rain fluctuations Climate change Soils Vegetation cover. |
title_short |
Maximum erosive isoline by the krigage method in the Paraíba river hydrographic basin, Brazil |
title_full |
Maximum erosive isoline by the krigage method in the Paraíba river hydrographic basin, Brazil |
title_fullStr |
Maximum erosive isoline by the krigage method in the Paraíba river hydrographic basin, Brazil |
title_full_unstemmed |
Maximum erosive isoline by the krigage method in the Paraíba river hydrographic basin, Brazil |
title_sort |
Maximum erosive isoline by the krigage method in the Paraíba river hydrographic basin, Brazil |
author |
França, Manoel Vieira de |
author_facet |
França, Manoel Vieira de Medeiros, Raimundo Mainar de Araújo, Wagner Rodolfo de |
author_role |
author |
author2 |
Medeiros, Raimundo Mainar de Araújo, Wagner Rodolfo de |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
França, Manoel Vieira de Medeiros, Raimundo Mainar de Araújo, Wagner Rodolfo de |
dc.subject.por.fl_str_mv |
Fluctuaciones de lluvia Cambio climático Suelos Cubierta vegetal. Flutuações pluviais mudanças climáticas solos e cobertura vegetal. Rain fluctuations Climate change Soils Vegetation cover. |
topic |
Fluctuaciones de lluvia Cambio climático Suelos Cubierta vegetal. Flutuações pluviais mudanças climáticas solos e cobertura vegetal. Rain fluctuations Climate change Soils Vegetation cover. |
description |
Rain erosivity discloses the rainfall capacity of a region to generate erosion. The objective is to study the geospatialized variability by generating charts of the monthly and annual rainfall erosivity index considering the equation of soil loss, erosion return time, probability and erosive classification in addition to the rainfall coefficient of the Paraíba River hydrographic basin. Monthly and annual rainfall data for the period 1962-2018 were used. Quantitative research conducted by rainfall data. The use of data was proceeded from analysis with regard to filling in gaps, consistency, homogenization. To estimate the rainfall erosivity index, the methodology suggested by Wischmeier was applied and using Bertoni's simple equation. It is known that the environmental problems experienced in a certain area interfere in the entire basin, causing direct impacts of silting and degradation. There is a need for prior planning of land for the implantation of orchards and fruitful agricultural projects, so that land displacement does not occur, supported by monitoring the changes that occur in the soil, in hillside regions, considering the level curves of the ground. The arable areas and their surroundings are located throughout its territory, having its climatic regions with different erosive potentials. Therefore, knowledge of this potential will be of enormous value in choosing soil management practices in order to control its erosion process. The completion of this study comes to contribute to regional or local planning and management policies, where it will contribute as a subsidy to new study developments. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-05-22 |
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://rsdjournal.org/index.php/rsd/article/view/4218 10.33448/rsd-v9i7.4218 |
url |
https://rsdjournal.org/index.php/rsd/article/view/4218 |
identifier_str_mv |
10.33448/rsd-v9i7.4218 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/4218/3644 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 Manoel Vieira de França, Raimundo Mainar de Medeiros, WAGNER RODOLFO DE ARAÚJO info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 Manoel Vieira de França, Raimundo Mainar de Medeiros, WAGNER RODOLFO DE ARAÚJO |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 9 No. 7; e472974218 Research, Society and Development; Vol. 9 Núm. 7; e472974218 Research, Society and Development; v. 9 n. 7; e472974218 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
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1797052815712976896 |