Multicriteria adoption for erosive susceptibility analysis in sub-basins of Serra da Mantiqueira, southern Minas Gerais
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Caderno de Ciências Agrárias (Online) |
Texto Completo: | https://periodicos.ufmg.br/index.php/ccaufmg/article/view/15928 |
Resumo: | Water erosion is one of the main causes of degradation of tropical soils, whose study requires the understanding of some variables, such as relief, land use and occupation, soil classes and the presence of anthropic activities. Most erosion studies are based on the use of empirical models with Geoprocessing and Remote Sensing techniques, which allow the identification of the most erosion prone regions. . This study aims to use multicriteria analysis to identify susceptibility to water erosion in two watersheds located in the Serra da Mantiqueira, southern Minas Gerais, Brazil. For this, a multicriteria analysis was elaborated from three elements: relief, land use and occupation and soil classes. The results showed that the Ribeirão São Bento and Ribeirão José Lúcio sub-basins have erosion susceptibility classified as medium and low, respectively. Thus, the erosion susceptibility map can be used as an efficient tool for sustainable agricultural and environmental planning of the area. |
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Multicriteria adoption for erosive susceptibility analysis in sub-basins of Serra da Mantiqueira, southern Minas GeraisAdoção de multicritérios para análise da suscetibilidade erosiva em sub-bacias hidrográficas da Serra da Mantiqueira, sul de Minas GeraisErosão hídricaUso e ocupação do soloPlanejamento ambientalWater erosionLand and use occupationEnvironmental PlanningWater erosion is one of the main causes of degradation of tropical soils, whose study requires the understanding of some variables, such as relief, land use and occupation, soil classes and the presence of anthropic activities. Most erosion studies are based on the use of empirical models with Geoprocessing and Remote Sensing techniques, which allow the identification of the most erosion prone regions. . This study aims to use multicriteria analysis to identify susceptibility to water erosion in two watersheds located in the Serra da Mantiqueira, southern Minas Gerais, Brazil. For this, a multicriteria analysis was elaborated from three elements: relief, land use and occupation and soil classes. The results showed that the Ribeirão São Bento and Ribeirão José Lúcio sub-basins have erosion susceptibility classified as medium and low, respectively. Thus, the erosion susceptibility map can be used as an efficient tool for sustainable agricultural and environmental planning of the area.A erosão hídrica é uma das principais causas de degradação dos solos tropicais, cujo estudo requer a compreensão de algumas variáveis, como relevo, uso e ocupação do solo, classes de solo e presença de atividades antrópicas. A maioria dos estudos sobre erosão é baseada na utilização de modelos empíricos com técnicas de Geoprocessamento e Sensoriamento Remoto, que permitem identificar as regiões mais propensas à erosão. Esse estudo visa utilizar a análise multicritérios para identificar a suscetibilidade à erosão hídrica em duas sub-bacias hidrográficas localizadas na Serra da Mantiqueira, sul de Minas Gerais, Brasil. Para isso, foi elaborada uma análise multicritérios a partir de três elementos: relevo, uso e ocupação do solo e classes de solo. Os resultados demonstraram que as sub-bacias Ribeirão São Bento e Ribeirão José Lúcio apresentam susceptibilidade à erosão classificadas como média e baixa, respectivamente. Logo, o mapa de suscetibilidade à erosão hídrica pode ser utilizado como uma ferramenta eficiente no planejamento sustentável agrícola e ambiental da área.Universidade Federal de Minas Gerais2019-12-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttps://periodicos.ufmg.br/index.php/ccaufmg/article/view/1592810.35699/2447-6218.2019.15928Agrarian Sciences Journal; Vol. 11 (2019); 1-9Caderno de Ciências Agrárias; v. 11 (2019); 1-92447-62181984-6738reponame:Caderno de Ciências Agrárias (Online)instname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGporhttps://periodicos.ufmg.br/index.php/ccaufmg/article/view/15928/13042https://periodicos.ufmg.br/index.php/ccaufmg/article/view/15928/13043Copyright (c) 2019 Caderno de Ciências Agráriasinfo:eu-repo/semantics/openAccessSantana, Derielsen BrandãoMoreira, Rodrigo SantosParreiras, Taya CristoSilva, Luis Felipe Pigatto MirandaTeodoro, Alexandre Elias de MirandaBolelli, Talyson MeloLense, Guilherme Henrique ExpeditoMincato, Ronaldo Luiz2020-10-05T16:32:13Zoai:periodicos.ufmg.br:article/15928Revistahttps://periodicos.ufmg.br/index.php/ccaufmgPUBhttps://periodicos.ufmg.br/index.php/ccaufmg/oaiccaufmg@ica.ufmg.br2447-62181984-6738opendoar:2020-10-05T16:32:13Caderno de Ciências Agrárias (Online) - Universidade Federal de Minas Gerais (UFMG)false |
dc.title.none.fl_str_mv |
Multicriteria adoption for erosive susceptibility analysis in sub-basins of Serra da Mantiqueira, southern Minas Gerais Adoção de multicritérios para análise da suscetibilidade erosiva em sub-bacias hidrográficas da Serra da Mantiqueira, sul de Minas Gerais |
title |
Multicriteria adoption for erosive susceptibility analysis in sub-basins of Serra da Mantiqueira, southern Minas Gerais |
spellingShingle |
Multicriteria adoption for erosive susceptibility analysis in sub-basins of Serra da Mantiqueira, southern Minas Gerais Santana, Derielsen Brandão Erosão hídrica Uso e ocupação do solo Planejamento ambiental Water erosion Land and use occupation Environmental Planning |
title_short |
Multicriteria adoption for erosive susceptibility analysis in sub-basins of Serra da Mantiqueira, southern Minas Gerais |
title_full |
Multicriteria adoption for erosive susceptibility analysis in sub-basins of Serra da Mantiqueira, southern Minas Gerais |
title_fullStr |
Multicriteria adoption for erosive susceptibility analysis in sub-basins of Serra da Mantiqueira, southern Minas Gerais |
title_full_unstemmed |
Multicriteria adoption for erosive susceptibility analysis in sub-basins of Serra da Mantiqueira, southern Minas Gerais |
title_sort |
Multicriteria adoption for erosive susceptibility analysis in sub-basins of Serra da Mantiqueira, southern Minas Gerais |
author |
Santana, Derielsen Brandão |
author_facet |
Santana, Derielsen Brandão Moreira, Rodrigo Santos Parreiras, Taya Cristo Silva, Luis Felipe Pigatto Miranda Teodoro, Alexandre Elias de Miranda Bolelli, Talyson Melo Lense, Guilherme Henrique Expedito Mincato, Ronaldo Luiz |
author_role |
author |
author2 |
Moreira, Rodrigo Santos Parreiras, Taya Cristo Silva, Luis Felipe Pigatto Miranda Teodoro, Alexandre Elias de Miranda Bolelli, Talyson Melo Lense, Guilherme Henrique Expedito Mincato, Ronaldo Luiz |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Santana, Derielsen Brandão Moreira, Rodrigo Santos Parreiras, Taya Cristo Silva, Luis Felipe Pigatto Miranda Teodoro, Alexandre Elias de Miranda Bolelli, Talyson Melo Lense, Guilherme Henrique Expedito Mincato, Ronaldo Luiz |
dc.subject.por.fl_str_mv |
Erosão hídrica Uso e ocupação do solo Planejamento ambiental Water erosion Land and use occupation Environmental Planning |
topic |
Erosão hídrica Uso e ocupação do solo Planejamento ambiental Water erosion Land and use occupation Environmental Planning |
description |
Water erosion is one of the main causes of degradation of tropical soils, whose study requires the understanding of some variables, such as relief, land use and occupation, soil classes and the presence of anthropic activities. Most erosion studies are based on the use of empirical models with Geoprocessing and Remote Sensing techniques, which allow the identification of the most erosion prone regions. . This study aims to use multicriteria analysis to identify susceptibility to water erosion in two watersheds located in the Serra da Mantiqueira, southern Minas Gerais, Brazil. For this, a multicriteria analysis was elaborated from three elements: relief, land use and occupation and soil classes. The results showed that the Ribeirão São Bento and Ribeirão José Lúcio sub-basins have erosion susceptibility classified as medium and low, respectively. Thus, the erosion susceptibility map can be used as an efficient tool for sustainable agricultural and environmental planning of the area. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-12-26 |
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.ufmg.br/index.php/ccaufmg/article/view/15928 10.35699/2447-6218.2019.15928 |
url |
https://periodicos.ufmg.br/index.php/ccaufmg/article/view/15928 |
identifier_str_mv |
10.35699/2447-6218.2019.15928 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.ufmg.br/index.php/ccaufmg/article/view/15928/13042 https://periodicos.ufmg.br/index.php/ccaufmg/article/view/15928/13043 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2019 Caderno de Ciências Agrárias info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2019 Caderno de Ciências Agrárias |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf text/html |
dc.publisher.none.fl_str_mv |
Universidade Federal de Minas Gerais |
publisher.none.fl_str_mv |
Universidade Federal de Minas Gerais |
dc.source.none.fl_str_mv |
Agrarian Sciences Journal; Vol. 11 (2019); 1-9 Caderno de Ciências Agrárias; v. 11 (2019); 1-9 2447-6218 1984-6738 reponame:Caderno de Ciências Agrárias (Online) instname:Universidade Federal de Minas Gerais (UFMG) instacron:UFMG |
instname_str |
Universidade Federal de Minas Gerais (UFMG) |
instacron_str |
UFMG |
institution |
UFMG |
reponame_str |
Caderno de Ciências Agrárias (Online) |
collection |
Caderno de Ciências Agrárias (Online) |
repository.name.fl_str_mv |
Caderno de Ciências Agrárias (Online) - Universidade Federal de Minas Gerais (UFMG) |
repository.mail.fl_str_mv |
ccaufmg@ica.ufmg.br |
_version_ |
1797042443490689024 |