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Multivariate Analysis and Machine Learning in Properties of Ultisols (Argissolos) of Brazilian Amazon Rev. Bras. Ciênc. Solo
Souza,Cristiano Marcelo Pereira de; Thomazini,André; Schaefer,Carlos Ernesto Gonçalves Reynaud; Veloso,Gustavo Vieira; Moreira,Guilherme Musse; Fernandes Filho,Elpídio Inácio.
ABSTRACT: Ultisols are the most common soil order in the Brazilian Amazon. The Legal Amazon (LA) has an area of 5 × 106 km2, with few accessible areas, which restricts studies of soils at a detailed level. The pedological properties can be estimated more efficiently using statistical procedures and machine learning techniques, tools which are capable of recognizing patterns in a large soil database. We analyzed the main chemical and physical properties of the B horizons of the Ultisols of the Brazilian Amazon, as well as the spatial variability of the most explanatory properties of these horizons. Physical and chemical data of 1,068 profiles of the RadamBrasil Project were used. A principal component analysis (PCA) was applied and the most explanatory...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Legal Amazon; Principal component analysis; Morphostructural domains; Climatic zones.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832018000100317
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Reference Values of Soil Quality for the Rio Doce Basin Rev. Bras. Ciênc. Solo
Guevara,Yang Zumbo Coronel; Souza,José João Lelis Leal de; Veloso,Gustavo Vieira; Veloso,Renato Welmer; Rocha,Pablo Azevedo; Abrahão,Walter Antônio Pereira; Fernandes Filho,Elpídio Inácio.
ABSTRACT: The great geological and soil variation in the state of Minas Gerais, Brazil, indicates the need for regional studies to understand the geochemical background of soils. The Rio Doce Basin became a priority area for geochemical background determination after the rupture of the tailings dam of Fundão in 2015. In this context, the objectives of this study were to propose Reference Values of Soil Quality in the Rio Doce Basin, to define variables that can predict metal(loid) concentrations in the soil, and to examine the correlation between metal(loid) concentrations determined by X-ray fluorescence and by the traditional method. One hundred and seven samples were collected from minimally disturbed areas, representing the main soils and source...
Tipo: Info:eu-repo/semantics/article Palavras-chave: RDC; Iron Quadrangle; Heavy metals; Soil quality reference values; Mariana.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832018000100515
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