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
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , |
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. |
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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 |
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1826304268051677184 |