Using the SWAT model to identify erosion prone areas and to estimate soil loss and sediment transport in Mogi Guaçu River basin in Sao Paulo State, Brazil

Detalhes bibliográficos
Autor(a) principal: dos Santos, Franciane Mendonça
Data de Publicação: 2023
Outros Autores: de Souza Pelinson, Natália, de Oliveira, Rodrigo Proença, Di Lollo, José Augusto [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.catena.2022.106872
http://hdl.handle.net/11449/248155
Resumo: Water-driven erosion associated with the transport and deposition of sediments in watersheds may lead to contamination problems causing significant damage to land and infrastructure. The key factors that influence erosive processes are well known and include the precipitation rate, terrain topography, soil type, and vegetation cover. The soil and water assessment tool (SWAT) considers these factors and may be used to identify areas susceptible to soil erosion and to estimate soil loss and sediment transport and deposition. To corroborate this assumption, real data on rill erosion and sediment transport from the Mogi Guaçu River Basin in southeastern Brazil were used to validate SWAT estimates. The study shows that the model is able to identify soil-eroded areas and replicate the scale and variation patterns of sediment production, although not with great precision. Hence, it can successfully be used for prioritizing areas that require action and for evaluating alternative soil management and conservation practices to mitigate erosive processes.
id UNSP_82b0e7d5ed192ca31f5fb753112d24cf
oai_identifier_str oai:repositorio.unesp.br:11449/248155
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling Using the SWAT model to identify erosion prone areas and to estimate soil loss and sediment transport in Mogi Guaçu River basin in Sao Paulo State, BrazilErosion classificationGeohydrological modelingRural erosionSoil degradationWater-driven erosion associated with the transport and deposition of sediments in watersheds may lead to contamination problems causing significant damage to land and infrastructure. The key factors that influence erosive processes are well known and include the precipitation rate, terrain topography, soil type, and vegetation cover. The soil and water assessment tool (SWAT) considers these factors and may be used to identify areas susceptible to soil erosion and to estimate soil loss and sediment transport and deposition. To corroborate this assumption, real data on rill erosion and sediment transport from the Mogi Guaçu River Basin in southeastern Brazil were used to validate SWAT estimates. The study shows that the model is able to identify soil-eroded areas and replicate the scale and variation patterns of sediment production, although not with great precision. Hence, it can successfully be used for prioritizing areas that require action and for evaluating alternative soil management and conservation practices to mitigate erosive processes.Fundação para a Ciência e a TecnologiaInstituto Dom Luiz (IDL) Faculty of Sciences of the University of Lisbon, Campo Grande, 1749-016 LisbonFaculty of Engineering Architecture and Urbanism and Geography (FAENG) Federal University of Mato Grosso do Sul (UFMS), Av. Costa e Silva - Pioneiros, MSCERIS Civil Engineering Research and Inovation for Sustainability Instituto Superior Técnico Universidade de Lisboa, Portugal. Av. Rovisco PaisSao Paulo State University (UNESP) Graduate Program in Civil Engineering Brazil, Alameda Bahia, 550, CEP 15385-000, SPSao Paulo State University (UNESP) Graduate Program in Civil Engineering Brazil, Alameda Bahia, 550, CEP 15385-000, SPFaculty of Sciences of the University of LisbonUniversidade Federal de Mato Grosso do Sul (UFMS)Universidade de LisboaUniversidade Estadual Paulista (UNESP)dos Santos, Franciane Mendonçade Souza Pelinson, Natáliade Oliveira, Rodrigo ProençaDi Lollo, José Augusto [UNESP]2023-07-29T13:36:02Z2023-07-29T13:36:02Z2023-03-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.catena.2022.106872Catena, v. 222.0341-8162http://hdl.handle.net/11449/24815510.1016/j.catena.2022.1068722-s2.0-85145856653Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengCatenainfo:eu-repo/semantics/openAccess2024-07-04T18:16:11Zoai:repositorio.unesp.br:11449/248155Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462024-07-04T18:16:11Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Using the SWAT model to identify erosion prone areas and to estimate soil loss and sediment transport in Mogi Guaçu River basin in Sao Paulo State, Brazil
title Using the SWAT model to identify erosion prone areas and to estimate soil loss and sediment transport in Mogi Guaçu River basin in Sao Paulo State, Brazil
spellingShingle Using the SWAT model to identify erosion prone areas and to estimate soil loss and sediment transport in Mogi Guaçu River basin in Sao Paulo State, Brazil
dos Santos, Franciane Mendonça
Erosion classification
Geohydrological modeling
Rural erosion
Soil degradation
title_short Using the SWAT model to identify erosion prone areas and to estimate soil loss and sediment transport in Mogi Guaçu River basin in Sao Paulo State, Brazil
title_full Using the SWAT model to identify erosion prone areas and to estimate soil loss and sediment transport in Mogi Guaçu River basin in Sao Paulo State, Brazil
title_fullStr Using the SWAT model to identify erosion prone areas and to estimate soil loss and sediment transport in Mogi Guaçu River basin in Sao Paulo State, Brazil
title_full_unstemmed Using the SWAT model to identify erosion prone areas and to estimate soil loss and sediment transport in Mogi Guaçu River basin in Sao Paulo State, Brazil
title_sort Using the SWAT model to identify erosion prone areas and to estimate soil loss and sediment transport in Mogi Guaçu River basin in Sao Paulo State, Brazil
author dos Santos, Franciane Mendonça
author_facet dos Santos, Franciane Mendonça
de Souza Pelinson, Natália
de Oliveira, Rodrigo Proença
Di Lollo, José Augusto [UNESP]
author_role author
author2 de Souza Pelinson, Natália
de Oliveira, Rodrigo Proença
Di Lollo, José Augusto [UNESP]
author2_role author
author
author
dc.contributor.none.fl_str_mv Faculty of Sciences of the University of Lisbon
Universidade Federal de Mato Grosso do Sul (UFMS)
Universidade de Lisboa
Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv dos Santos, Franciane Mendonça
de Souza Pelinson, Natália
de Oliveira, Rodrigo Proença
Di Lollo, José Augusto [UNESP]
dc.subject.por.fl_str_mv Erosion classification
Geohydrological modeling
Rural erosion
Soil degradation
topic Erosion classification
Geohydrological modeling
Rural erosion
Soil degradation
description Water-driven erosion associated with the transport and deposition of sediments in watersheds may lead to contamination problems causing significant damage to land and infrastructure. The key factors that influence erosive processes are well known and include the precipitation rate, terrain topography, soil type, and vegetation cover. The soil and water assessment tool (SWAT) considers these factors and may be used to identify areas susceptible to soil erosion and to estimate soil loss and sediment transport and deposition. To corroborate this assumption, real data on rill erosion and sediment transport from the Mogi Guaçu River Basin in southeastern Brazil were used to validate SWAT estimates. The study shows that the model is able to identify soil-eroded areas and replicate the scale and variation patterns of sediment production, although not with great precision. Hence, it can successfully be used for prioritizing areas that require action and for evaluating alternative soil management and conservation practices to mitigate erosive processes.
publishDate 2023
dc.date.none.fl_str_mv 2023-07-29T13:36:02Z
2023-07-29T13:36:02Z
2023-03-01
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 http://dx.doi.org/10.1016/j.catena.2022.106872
Catena, v. 222.
0341-8162
http://hdl.handle.net/11449/248155
10.1016/j.catena.2022.106872
2-s2.0-85145856653
url http://dx.doi.org/10.1016/j.catena.2022.106872
http://hdl.handle.net/11449/248155
identifier_str_mv Catena, v. 222.
0341-8162
10.1016/j.catena.2022.106872
2-s2.0-85145856653
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Catena
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
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 repositoriounesp@unesp.br
_version_ 1826304268051677184