ABSTRACT
This study highlights the effectiveness of time-lapse electric resistivity tomography (ERT) in monitoring water movement through dam filters, offering a non-invasive method for early detection of seepage and potential structural issues. Laboratory-scale model experiments were conducted, using a sand layer as a filter between two clay layers to simulate dam conditions. Time-lapse ERT measurements were taken at intervals as seepage progressed, corresponding to soil moisture sensor readings at 1/3 and 2/3 of the sand layer length. Data acquisition, inversion, and visualization were performed using the open-source pyGIMLi library, enabling real-time monitoring of resistivity changes due to water infiltration. To validate these results, data were also processed using Res2Dinv software, a trusted tool in resistivity inversion. The comparison between pyGIMLi and Res2Dinv outcomes confirms the accuracy and reliability of the pyGIMLi approach. This study demonstrates the potential of ERT techniques for dam safety monitoring and related geotechnical.
