A Nonlinear Regression based Approach for Multilayer Soil Parameter Estimation

The estimation of soil parameters of multilayer structure leads to useful information for designing a safe grounding system. This paper presents a nonlinear regression based estimation scheme to extract soil parameters from the kernel function of apparent earth resistivity. The kernel function of apparent earth resistivity can be obtained from the measured apparent earth resistivity data. The performance of the proposed method has been verified by carrying out a numerical example.