Industrial abandoned sites, due to the production or use of toxic and harmful raw materials, have resulted in soil and groundwater contamination. Conventional urban geological surveys typically rely on drilling sampling and testing analysis to determine the pollution status, which can only obtain information regarding pollutant distribution near boreholes, thereby making it difficult to achieve rapid assessment of the entire site. The threedimensional (3D) resistivity imaging technique, characterized by its broad observation range, substantial data acquisition capabilities, and high imaging resolution, enables comprehensive imaging of subsurface medium resistivity within the observed domain. The conductivity of the soil matrix is known to increase following contamination by inorganic pollutants such as heavy metals, chlorides, and nitrates, thereby establishing favorable physical conditions for resistivitybased detection methods. In a case study focusing on chloridecontaminated sites, the efficacy of the 3D resistivity imaging technique was substantiated through the development of theoretical models and subsequent forward modeling. Field investigations conducted at a decommissioned industrial site in Hangzhou led to the delineation of the chloride contamination source (storage tank), the spatial distribution of the contaminant plume, and the identification of contaminant migration pathways based on observed lowresistivity anomalies, thereby confirming the robust detection capabilities of the technique.