Experimental study of seepage detection in landfills based on resistivity anomaly and MODFLOW

Abstract

Landfills, which are economical, practical, and have significant technological advantages, are widely used in solid waste treatment worldwide. However, almost all landfill impermeable layers have leakage problems, and if the leakage points are not detected and repaired timeously, garbage leachate will leak through the pores into the soil or ambient water, posing a potential risk to environmental health and safety. Therefore, the accurate detection of landfill leakage and real-time monitoring of pollution plumes is of great significance for landfill pollution control and restoration. In this study, in-situ resistivity detection was used at the bottom of a landfill site, and Visual MODFLOW was used to establish a solute transport model of the landfill site. The results show that the location of the leakage point can be accurately detected by comparing the resistivity difference before and after leakage. The groundwater model can be verified by converting the resistivity data into concentration data. The feasibility of in-situ resistivity detection was verified in reverse, and it can be used to monitor and predict the migration path of pollution plumes and provide some technical support for the treatment and repair of landfill leakage.