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Updated: Jun 23, 2025
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Measurements of Soil Carbon by Neutron-Gamma Analysis in Static and Scanning Modes
Published on: August 24, 2017
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Gamma-rays and X-rays spectrometries applied to evaluate soil redistribution
João Marcos Fávaro Lopes1, José Vinícius Ribeiro1, Avacir Casanova Andrello1
1Applied Nuclear Physics Laboratory, Londrina State University, Londrina, Brazil.
Journal of Environmental Radioactivity
|June 21, 2024
Summary
Soil erosion in Brazil is significant, with over 21 tons lost per hectare annually. Radionuclide and elemental analysis using Gamma-Rays Spectrometry and EDXRF helps track soil redistribution and erosion rates.
Area of Science:
- Environmental Science
- Soil Science
- Geochemistry
Background:
- Growing global food demand necessitates improved agricultural production and sustainable resource management.
- Soil erosion is a critical factor impacting agricultural productivity and land sustainability.
- Understanding soil redistribution dynamics is key to mitigating erosion effects.
Purpose of the Study:
- To quantify soil erosion rates in an agricultural plot in southern Brazil.
- To investigate soil redistribution over time using radionuclide and elemental analysis.
- To assess the effectiveness of Gamma-Rays Spectrometry (GRS) and Energy Dispersive X-ray Fluorescence (EDXRF) in soil erosion studies.
Main Methods:
- Collection of 27 soil samples from varying depths (0-30 cm).
- Quantitative analysis of radionuclide (e.g., 137Cs) and elemental concentrations (Fe, Al, Ca, Mn, K) using GRS and EDXRF.
- Application of the proportional model to estimate erosion and deposition rates.
- Statistical analysis using Principal Component Analysis (PCA) to correlate variables and soil erosion dynamics.
Main Results:
- High concentrations of Fe, Al, Ca, Mn, and K were detected in soil samples.
- A mean 137Cs inventory of 27 ± 17 Bqm-2 was quantified.
- Estimated gross erosion rate of 28.2 ton/ha/year and net soil deposition of 6.6 ton/ha/year were calculated.
- Net soil loss of 21.6 ton/ha/year was determined for the studied agricultural plot.
- PCA revealed sample separation by depth and correlations between variables and erosion, with 137Cs behavior similar to K.
Conclusions:
- The study quantifies significant net soil loss in the agricultural plot, highlighting the need for erosion control measures.
- Combined GRS and EDXRF techniques, along with PCA, provide valuable insights into soil erosion dynamics and redistribution.
- EDXRF shows promise as a complementary technique for soil erosion assessment, offering a valuable tool for environmental monitoring.
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