Landslides and other geotechnical dangers can result from changes in water content and other geotechnical features. Traditional soil characterization procedures, such as borehole sampling and geotechnical testing, are recognized for their precision but are frequently time-consuming and expensive. In contrast, geophysical technologies such as Electrical Resistivity (ER), Spectral Analysis of Surface Waves (SASW) and Ground Penetration Radar (GPR) provide non-destructive and cost-effective options. Among them, ER has been a popular choice because of its precision in measuring soil parameters, particularly water content. While wide investigation has been undertaken in this field, the correlations are frequently soil specific. This study, done in Silchar, India, used six distinct soil samples to investigate relationships between water content and electrical resistivity. The findings revealed an inverse correlation between resistivity and water/clay content, and a proportional correlation with sand content. Strong relationships were observed, with R2 values ranging from 0.959 to 0.985 for water content-resistivity correlation and 0.997 and 0.980 for the correlations of resistivity with clay and sand content respectively. These findings enhance understanding of soil resistivity dynamics and can aid researchers and engineers in soil property determination.

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Electrical Resistivity as a Tool for Predicting Soil Water Content: Insights and Applications

  • Shinjan Chatterjee,
  • Soumitra Kumar Kundu,
  • Ashim Kanti Dey

摘要

Landslides and other geotechnical dangers can result from changes in water content and other geotechnical features. Traditional soil characterization procedures, such as borehole sampling and geotechnical testing, are recognized for their precision but are frequently time-consuming and expensive. In contrast, geophysical technologies such as Electrical Resistivity (ER), Spectral Analysis of Surface Waves (SASW) and Ground Penetration Radar (GPR) provide non-destructive and cost-effective options. Among them, ER has been a popular choice because of its precision in measuring soil parameters, particularly water content. While wide investigation has been undertaken in this field, the correlations are frequently soil specific. This study, done in Silchar, India, used six distinct soil samples to investigate relationships between water content and electrical resistivity. The findings revealed an inverse correlation between resistivity and water/clay content, and a proportional correlation with sand content. Strong relationships were observed, with R2 values ranging from 0.959 to 0.985 for water content-resistivity correlation and 0.997 and 0.980 for the correlations of resistivity with clay and sand content respectively. These findings enhance understanding of soil resistivity dynamics and can aid researchers and engineers in soil property determination.