Techniques d’estimation des paramètres hydrauliques des sols sableux non saturés sur la base des données de forme d’onde GPR

Ground Penetrating Radar (GPR) has become a promising tool for soil water content (SWC) and soil hydraulic properties (SHP) estimation. However, most current studies using GPR to determine SWC and SHP only focus on part of data like travel time. Inversion based on the full waveform can provide more accurate results. In this study, we first build a novel SWC estimation scheme based on GPR waveform inversion with the Grey Wolf Optimizer (GWO) global optimization algorithm and validated using synthetic and real experimental field data. Subsequently, we apply this proposed scheme to time-lapse GPR data and realized SWC monitoring in the vadose zone. Finally, we further establish a new scheme for directly determining SHP based on GPR waveform inversion with GWO algorithm and also tested with synthetic and real experimental data. These research findings offer theoretical and technical support for the high-precision estimation of SWC and SHP using GPR waveform inversion.