Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/15451
Título: Soil erosion vulnerability in the Verde River basin, Southern Minas Gerais
Título(s) alternativo(s): Vulnerabilidade dos solos à erosão hídrica na bacia hidrográfica do Rio Verde, sul de Minas Gerais
Palavras-chave: Soil erosion
Soil mapping – Mathematical models
Watersheds – Management
Image analysis
Remote sensing
Revised Universal Soil Loss Equation (RUSLE)
Solos – Erosão
Mapeamento do solo – Modelos matemáticos
Bacias hidrográficas – Manejo
Análise de imagem
Sensoriamento remoto
Equação Universal de Perda de Solo Revisada (RUSLE)
Data do documento: Mai-2014
Editor: Universidade Federal de Lavras
Citação: OLIVEIRA, V. A. de et al. Soil erosion vulnerability in the Verde River basin, Southern Minas Gerais. Ciência e Agrotecnologia, Lavras, v. 38, n. 3, p. 262-269, maio/jun. 2014.
Resumo: Soil erosion is one of the most significant environmental degradation processes. Mapping and assessment of soil erosion vulnerability is an important tool for planning and management of the natural resources. The objective of the present study was to apply the Revised Universal Soil Loss Equation (RUSLE) using GIS tools to the Verde River Basin (VRB), southern Minas Gerais, in order to assess soil erosion vulnerability. A annual rainfall erosivity map was derived from the geographical model adjusted for Southeastern Brazil, calculating an annual value for each pixel. The maps of soil erodibility (K), topographic factor (LS), and use and management of soils (C) were developed from soils and their uses map and the digital elevation model (DEM) developed for the basin. In a GIS environment, the layers of the factors were combined to create the soil erosion vulnerability map according to RUSLE. The results showed that, in general, the soils of the VRB present a very high vulnerability to water erosion, with 58.68% of soil losses classified as "High" and "Extremely High" classes. In the headwater region of VRB, the predominant classes were "Very High" and "Extremely High" where there is predominance of Cambisols associated with extensive pastures. Furthermore, the integration of RUSLE/GIS showed an efficient tool for spatial characterization of soil erosion vulnerability in this important basin of the Minas Gerais state.
URI: repositorio.ufla.br/jspui/handle/1/15451
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