Autoria: OLIVEIRA, J. A. X. de; ALMEIDA, F. T. de; SOUZA, A. P. de; PAULISTA, R. S. D.; ZOLIN, C. A.; HOSHIDE, A. K.

Resumo: Abstract: 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.

Ano de publicação: 2024

Tipo de publicação: Artigo de periódico

Unidade: Embrapa Agrossilvipastoril

Palavras-chave: Analytical methods, Bacia Fluvial, Erodibility, Erosão, Erosão do Solo, Rainfall simulators, Soil erosion, Soil erosion models, Universal Soil Loss Equation