Estimation of water table from self‐potential data using particle swarm optimization (PSO)

Abstract

Water flow in the subsoil generates electrical current measurable at the ground surface and terms self-potential (SP) anomalies. Due to this hydro-electric coupling called the electrokinetic effect, SP anomalies are well correlated with the geometry of the water table. In this contribution, we present the application of Particle Swarm algorithm to estimate the water table elevation from SP data measured at the ground surface. We present both synthetic and field data obtained from the literature.