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dc.contributor.authorOLIVEIRA, J. A. X. de
dc.contributor.authorALMEIDA, F. T. de
dc.contributor.authorSOUZA, A. P. de
dc.contributor.authorPAULISTA, R. S. D.
dc.contributor.authorZOLIN, C. A.
dc.contributor.authorHOSHIDE, A. K.
dc.date.accessioned2025-02-27T13:30:42Z-
dc.date.available2025-02-27T13:30:42Z-
dc.date.created2025-02-27
dc.date.issued2024
dc.identifier.citationLand, v. 13, article number 1442, 2024.
dc.identifier.issn2073-445X
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1173449-
dc.descriptionAbstract: Mitigating soil erosion‘s effects have been prioritized since the early 20th century. Rainfall simulators and analytical prediction models are used to determine soil erosion susceptibility. This study used different methodologies to measure soil erodibility in two hydrographic sub-basins, the Renato and Caiabi, in the Middle and Upper Teles Pires River in Mato Grosso state, Brazil. The rainfall simulator showed a higher range of K-factor values for the Renato sub-basin of 0.0009 to 0.0086 Mg × h × (MJ × mm)−1 and a lower range of K-factor values for the Caiabi sub-basin of 0.0014 to 0.0031 Mg × h × (MJ × mm)−1. Soil loss equations similarly estimated a higher range of K-factor values for the Renato of 0.0008 to 0.0990 Mg × h × (MJ × mm)−1 and a lower range of K-factor values for the Caiabi of 0.0014 to 0.0846 Mg × h × (MJ × mm)−1. There was no significant difference at the 5% level for the K factor determined by the rainfall simulator for both sub-basins. Equations specified in Bouyoucos (1935) and Lombardi Neto and Bertoni (1975) showed significant correlation (5%) for farming systems in the Caiabi sub-basin. Indirect methodologies that performed well for correlation were equations 2 and 3 from Roloff and Denardin (1994), which use iron and aluminum as parameters. Soil erosion was most influenced by physical texture parameters of the region’s soil.
dc.language.isoeng
dc.rightsopenAccess
dc.titleDetermination of Soil Erodibility by Different Methodologies in the Renato and Caiabi River Sub-Basins in Brazil.
dc.typeArtigo de periódico
dc.subject.thesagroErosão
dc.subject.thesagroErosão do Solo
dc.subject.thesagroBacia Fluvial
dc.subject.nalthesaurusAnalytical methods
dc.subject.nalthesaurusErodibility
dc.subject.nalthesaurusSoil erosion
dc.subject.nalthesaurusSoil erosion models
dc.subject.nalthesaurusRainfall simulators
dc.subject.nalthesaurusUniversal Soil Loss Equation
riaa.ainfo.id1173449
riaa.ainfo.lastupdate2025-02-27
dc.contributor.institutionJONES ANSCHAU XAVIER DE OLIVEIRA, UNIVERSIDADE FEDERAL DE MATO GROSSO; FREDERICO TERRA DE ALMEIDA, UNIVERSIDADE FEDERAL DE MATO GROSSO; ADILSON PACHECO DE SOUZA, UNIVERSIDADE FEDERAL DE MATO GROSSO; RHAVEL SALVIANO DIAS PAULISTA, UNIVERSIDADE FEDERAL DE MATO GROSSO; CORNELIO ALBERTO ZOLIN, CPAMT; AARON KINYU HOSHIDE, UNIVERSITY OF MAINE.
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