Multiple regression analysis of geoelectric imaging and geotechnical site investigation test results

Abstract

Geotechnical site characterization through non-invasive and cost-effective electrical resistivity imaging (ERI) and induced polarization imaging (IPI) offers promise compared to conventional point-geotechnical site investigations (standard penetration test, SPT), for which a basic understanding of factors (grain size (sand, fines) and water content) influencing them is needed. Here we perform a multiple regression analysis of ERI, IPI and SPT results in a site investigation at Lucknow, India. The results show that grain size and water content influence both chargeability and SPT values in a similar manner, while resistivity values are affected differently with a low RMS prediction error for chargeability.