SOIL EROSION FACTOR ESTIMATION IN THE REGION OF RIBEIRA VALLEY, SAO PAULO STATE, BRAZIL

Detalhes bibliográficos
Autor(a) principal: Batista, Reginaldo Antonio Weissenberg [UNESP]
Data de Publicação: 2021
Outros Autores: Nery, Liliane Moreira, Matus, Gregorio Nolazco [UNESP], Simonetti, Vanessa Cezar, Silva, Darllan Collins da Cunha [UNESP]
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/210229
Resumo: Erosion of water contributes to soil degradation and siltation of rivers and water reservoirs. Identification of areas prone to erosion is obtained using mathematical modelling in conjunction with geoprocessing techniques. Therefore, the aim of this study was to analyze rainfall distribution and to estimate the erosiveness factor of rain for Ribeira Valley, Sao Paulo State, Brazil. To this end, rainfall data, the R Factor from Universal Soil Loss Equation (USLE), and interpolation process by the Inverse Distance Weighting (IDW) method were used. The values obtained for rain erosivity have demonstrated a high variability of the erosive potential with amplitude from 5,360.6 MJ.mm.h(-1).ha(-1) to 9,278.7 MJ.mm.h(-1).ha(-1). Areas with greater erosivity potential of rainfall were the North and Northeast regions of Ribeira Valley and, consequently, are the most vulnerable to anthropic interventions.
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spelling SOIL EROSION FACTOR ESTIMATION IN THE REGION OF RIBEIRA VALLEY, SAO PAULO STATE, BRAZILUSLEGeoprocessingWater erosionSoil degradationErosion of water contributes to soil degradation and siltation of rivers and water reservoirs. Identification of areas prone to erosion is obtained using mathematical modelling in conjunction with geoprocessing techniques. Therefore, the aim of this study was to analyze rainfall distribution and to estimate the erosiveness factor of rain for Ribeira Valley, Sao Paulo State, Brazil. To this end, rainfall data, the R Factor from Universal Soil Loss Equation (USLE), and interpolation process by the Inverse Distance Weighting (IDW) method were used. The values obtained for rain erosivity have demonstrated a high variability of the erosive potential with amplitude from 5,360.6 MJ.mm.h(-1).ha(-1) to 9,278.7 MJ.mm.h(-1).ha(-1). Areas with greater erosivity potential of rainfall were the North and Northeast regions of Ribeira Valley and, consequently, are the most vulnerable to anthropic interventions.Univ Estadual Paulista Unesp, Campus Registro, Registro, BrazilUniv Fed Sao Carlos UFScar, Programa Posgrad Biotecnol & Monitoramento Ambien, Sao Carlos, BrazilUniv Estadual Paulista Unesp, Inst Ciencias & Tecnol, Campus Sorocaba, Sorocaba, BrazilUniv Sorocaba Uniso, Dept Engn Ambiental, Vila Artura, BrazilUniv Estadual Paulista Unesp, Curso Engn Pesca, Campus Registro, Registro, BrazilUniv Estadual Paulista Unesp, Campus Registro, Registro, BrazilUniv Estadual Paulista Unesp, Inst Ciencias & Tecnol, Campus Sorocaba, Sorocaba, BrazilUniv Estadual Paulista Unesp, Curso Engn Pesca, Campus Registro, Registro, BrazilUniv Estadual Paulista Julio Mesquita FilhoUniversidade Estadual Paulista (Unesp)Universidade Federal de São Carlos (UFSCar)Univ Sorocaba UnisoBatista, Reginaldo Antonio Weissenberg [UNESP]Nery, Liliane MoreiraMatus, Gregorio Nolazco [UNESP]Simonetti, Vanessa CezarSilva, Darllan Collins da Cunha [UNESP]2021-06-25T15:02:04Z2021-06-25T15:02:04Z2021-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article441-460Revista Formacao Online. Araraquaria: Univ Estadual Paulista Julio Mesquita Filho, v. 28, n. 53, p. 441-460, 2021.2178-7298http://hdl.handle.net/11449/210229WOS:000639602800019Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporRevista Formacao Onlineinfo:eu-repo/semantics/openAccess2024-05-03T13:20:08Zoai:repositorio.unesp.br:11449/210229Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:17:20.097380Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv SOIL EROSION FACTOR ESTIMATION IN THE REGION OF RIBEIRA VALLEY, SAO PAULO STATE, BRAZIL
title SOIL EROSION FACTOR ESTIMATION IN THE REGION OF RIBEIRA VALLEY, SAO PAULO STATE, BRAZIL
spellingShingle SOIL EROSION FACTOR ESTIMATION IN THE REGION OF RIBEIRA VALLEY, SAO PAULO STATE, BRAZIL
Batista, Reginaldo Antonio Weissenberg [UNESP]
USLE
Geoprocessing
Water erosion
Soil degradation
title_short SOIL EROSION FACTOR ESTIMATION IN THE REGION OF RIBEIRA VALLEY, SAO PAULO STATE, BRAZIL
title_full SOIL EROSION FACTOR ESTIMATION IN THE REGION OF RIBEIRA VALLEY, SAO PAULO STATE, BRAZIL
title_fullStr SOIL EROSION FACTOR ESTIMATION IN THE REGION OF RIBEIRA VALLEY, SAO PAULO STATE, BRAZIL
title_full_unstemmed SOIL EROSION FACTOR ESTIMATION IN THE REGION OF RIBEIRA VALLEY, SAO PAULO STATE, BRAZIL
title_sort SOIL EROSION FACTOR ESTIMATION IN THE REGION OF RIBEIRA VALLEY, SAO PAULO STATE, BRAZIL
author Batista, Reginaldo Antonio Weissenberg [UNESP]
author_facet Batista, Reginaldo Antonio Weissenberg [UNESP]
Nery, Liliane Moreira
Matus, Gregorio Nolazco [UNESP]
Simonetti, Vanessa Cezar
Silva, Darllan Collins da Cunha [UNESP]
author_role author
author2 Nery, Liliane Moreira
Matus, Gregorio Nolazco [UNESP]
Simonetti, Vanessa Cezar
Silva, Darllan Collins da Cunha [UNESP]
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Universidade Federal de São Carlos (UFSCar)
Univ Sorocaba Uniso
dc.contributor.author.fl_str_mv Batista, Reginaldo Antonio Weissenberg [UNESP]
Nery, Liliane Moreira
Matus, Gregorio Nolazco [UNESP]
Simonetti, Vanessa Cezar
Silva, Darllan Collins da Cunha [UNESP]
dc.subject.por.fl_str_mv USLE
Geoprocessing
Water erosion
Soil degradation
topic USLE
Geoprocessing
Water erosion
Soil degradation
description Erosion of water contributes to soil degradation and siltation of rivers and water reservoirs. Identification of areas prone to erosion is obtained using mathematical modelling in conjunction with geoprocessing techniques. Therefore, the aim of this study was to analyze rainfall distribution and to estimate the erosiveness factor of rain for Ribeira Valley, Sao Paulo State, Brazil. To this end, rainfall data, the R Factor from Universal Soil Loss Equation (USLE), and interpolation process by the Inverse Distance Weighting (IDW) method were used. The values obtained for rain erosivity have demonstrated a high variability of the erosive potential with amplitude from 5,360.6 MJ.mm.h(-1).ha(-1) to 9,278.7 MJ.mm.h(-1).ha(-1). Areas with greater erosivity potential of rainfall were the North and Northeast regions of Ribeira Valley and, consequently, are the most vulnerable to anthropic interventions.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-25T15:02:04Z
2021-06-25T15:02:04Z
2021-01-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Revista Formacao Online. Araraquaria: Univ Estadual Paulista Julio Mesquita Filho, v. 28, n. 53, p. 441-460, 2021.
2178-7298
http://hdl.handle.net/11449/210229
WOS:000639602800019
identifier_str_mv Revista Formacao Online. Araraquaria: Univ Estadual Paulista Julio Mesquita Filho, v. 28, n. 53, p. 441-460, 2021.
2178-7298
WOS:000639602800019
url http://hdl.handle.net/11449/210229
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv Revista Formacao Online
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 441-460
dc.publisher.none.fl_str_mv Univ Estadual Paulista Julio Mesquita Filho
publisher.none.fl_str_mv Univ Estadual Paulista Julio Mesquita Filho
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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