X-ray fluorescence and gamma-ray spectrometry combined with multivariate analysis for topographic studies in agricultural soil

Natara D B de Castilhos; Fábio L Melquiades; Edivaldo L Thomaz; Rodrigo Oliveira Bastos

doi:10.1016/j.apradiso.2014.09.013

X-ray fluorescence and gamma-ray spectrometry combined with multivariate analysis for topographic studies in agricultural soil

Appl Radiat Isot. 2015 Jan:95:63-71. doi: 10.1016/j.apradiso.2014.09.013. Epub 2014 Oct 15.

Authors

Natara D B de Castilhos¹, Fábio L Melquiades², Edivaldo L Thomaz³, Rodrigo Oliveira Bastos⁴

Affiliations

¹ Chemistry Department, Universidade Estadual do Centro-Oeste, 85040-080 Guarapuava, PR, Brazil.
² Physics Department, Universidade Estadual do Centro-Oeste, 85040-080 Guarapuava, PR, Brazil. Electronic address: fmelquiades@unicentro.br.
³ Geography Department, Universidade Estadual do Centro-Oeste, 85040-080 Guarapuava, PR, Brazil.
⁴ Physics Department, Universidade Estadual do Centro-Oeste, 85040-080 Guarapuava, PR, Brazil.

PMID: 25464179
DOI: 10.1016/j.apradiso.2014.09.013

Abstract

Physical and chemical properties of soils play a major role in the evaluation of different geochemical signature, soil quality, discrimination of land use type, soil provenance and soil degradation. The objectives of the present study are the soil elemental characterization and soil differentiation in topographic sequence and depth, using Energy Dispersive X-Ray Fluorescence (EDXRF) as well as gamma-ray spectrometry data combined with Principal Component Analysis (PCA). The study area is an agricultural region of Boa Vista catchment which is located at Guamiranga municipality, Brazil. PCA analysis was performed with four different data sets: spectral data from EDXRF, spectral data from gamma-ray spectrometry, concentration values from EDXRF measurements and concentration values from gamma-ray spectrometry. All PCAs showed similar results, confirmed by hierarchical cluster analysis, allowing the data grouping into top, bottom and riparian zone samples, i.e. the samples were separated due to its landscape position. The two hillslopes present the same behavior independent of the land use history. There are distinctive and characteristic patterns in the analyzed soil. The methodologies presented are promising and could be used to infer significant information about the region to be studied.

Keywords: Gamma-ray spectrometry; Geochemical characterization; Principal component analysis; Tropical soil; X-ray fluorescence.