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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, Brazil

dc.contributor.authordos Santos, Franciane Mendonça
dc.contributor.authorde Souza Pelinson, Natália
dc.contributor.authorde Oliveira, Rodrigo Proença
dc.contributor.authorDi Lollo, José Augusto [UNESP]
dc.contributor.institutionFaculty of Sciences of the University of Lisbon
dc.contributor.institutionUniversidade Federal de Mato Grosso do Sul (UFMS)
dc.contributor.institutionUniversidade de Lisboa
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2023-07-29T13:36:02Z
dc.date.available2023-07-29T13:36:02Z
dc.date.issued2023-03-01
dc.description.abstractWater-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.en
dc.description.affiliationInstituto Dom Luiz (IDL) Faculty of Sciences of the University of Lisbon, Campo Grande, 1749-016 Lisbon
dc.description.affiliationFaculty of Engineering Architecture and Urbanism and Geography (FAENG) Federal University of Mato Grosso do Sul (UFMS), Av. Costa e Silva - Pioneiros, MS
dc.description.affiliationCERIS Civil Engineering Research and Inovation for Sustainability Instituto Superior Técnico Universidade de Lisboa, Portugal. Av. Rovisco Pais
dc.description.affiliationSao Paulo State University (UNESP) Graduate Program in Civil Engineering Brazil, Alameda Bahia, 550, CEP 15385-000, SP
dc.description.affiliationUnespSao Paulo State University (UNESP) Graduate Program in Civil Engineering Brazil, Alameda Bahia, 550, CEP 15385-000, SP
dc.description.sponsorshipFundação para a Ciência e a Tecnologia
dc.identifierhttp://dx.doi.org/10.1016/j.catena.2022.106872
dc.identifier.citationCatena, v. 222.
dc.identifier.doi10.1016/j.catena.2022.106872
dc.identifier.issn0341-8162
dc.identifier.scopus2-s2.0-85145856653
dc.identifier.urihttp://hdl.handle.net/11449/248155
dc.language.isoeng
dc.relation.ispartofCatena
dc.sourceScopus
dc.subjectErosion classification
dc.subjectGeohydrological modeling
dc.subjectRural erosion
dc.subjectSoil degradation
dc.titleUsing 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, Brazilen
dc.typeArtigo
dspace.entity.typePublication
unesp.departmentEngenharia Civil - FEISpt

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