Gamma-rays and X-rays spectrometries applied to evaluate soil redistribution.

Autor: Lopes JMF; Applied Nuclear Physics Laboratory, Londrina State University, Londrina, Brazil. Electronic address: lopes.joaomarcos@uel.br., Ribeiro JV; Applied Nuclear Physics Laboratory, Londrina State University, Londrina, Brazil., Andrello AC; Applied Nuclear Physics Laboratory, Londrina State University, Londrina, Brazil., Melquiades FL; Applied Nuclear Physics Laboratory, Londrina State University, Londrina, Brazil.
Jazyk: angličtina
Zdroj: Journal of environmental radioactivity [J Environ Radioact] 2024 Sep; Vol. 278, pp. 107479. Date of Electronic Publication: 2024 Jun 20.
DOI: 10.1016/j.jenvrad.2024.107479
Abstrakt: This work responds to the growing global demand for food, which requires improvements in agricultural production and sustainable management of natural resources. The focus is on soil erosion as a critical element in preserving agricultural productivity. From this perspective, the levels of radionuclides and chemical elements present in the soil, quantified through Gamma-Rays Spectrometry (GRS) and Energy Dispersive X-ray Fluorescence (EDXRF), were used to investigate soil redistribution over time. 27 soil samples ranging from 0 to 30 cm in depth were collected in an agricultural plot located in southern Brazil. Quantitative analysis indicated high mean concentrations of Fe (161 ± 7 gkg -1 ), Al (110 ± 17 gkg -1 ), Ca (2.6 ± 0.5 gkg -1 ), Mn (2.4 ± 0.3 gkg -1 ) and K (543 ± 165 mgkg -1 ) in comparison with the other detected elements. The quantification of 137 Cs provided a mean inventory of 27 ± 17 Bqm -2 . Using the proportional model, an estimated gross erosion rate of 28.2 tonha -1 year -1 and a net soil deposition of 6.6 tonha -1 year -1 were calculated. Therefore, a net soil loss of 21.6 tonha -1 year -1 was experienced within the agricultural plot studied. The data set combination of both techniques with Principal Component Analysis (PCA) revealed correlations between the variables studied and the soil erosion dynamics. The PCA showed a tendency to separate the samples according to their sampling depth. Moreover, 137 Cs behavior in soil proved to be similar to the behavior of elements found in fertilizers, like K. On the other hand, the individual influence of 137 Cs was not enough to cause significant changes in the samples distribution in the scores plot, highlighting EDXRF as a promising technique to complement soil erosion studies.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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