Interpretation of “ERT” Data Using ADMT Method from Industrial Waste Migration into Groundwater Depth in an ‘X’ Location

Abstract

This study investigates the subsurface impact of industrial waste migration into
groundwater systems using Electrical Resistivity Tomography (ERT) around the
Choba Campus, University of Port Harcourt. The area lies within the highly
porous and permeable Benin Formation of the Niger Delta, making it susceptible
to leachate infiltration. Industrial activities in this region produce poorly managed
wastes, which percolate through sandy soils and unconfined aquifers, threatening
potable groundwater sources. Using Apparent Diffusion Magnetic Technology
(ADMT), a digital resistivity technique, multiple 2D resistivity profiles were
acquired to identify zones of contamination. The tomographic sections revealed
low resistivity values (<100Ùm), especially within the upper 30 meters of the
subsurface consistent with leachate saturation. These anomalies were widespread,
suggesting both vertical and lateral migration of contaminants. The
hydrogeological setting characterized by sandy loam topsoil, fine-to-medium
sands, shallow water tables (1.5–7m), and poor drainage further enhances leachate
transport. The resistivity data were corroborated by geological information,
showing alignment with porous sandy layers typical of the Benin Formation. The
spatial extent and depth of anomalies underline the vulnerability of groundwater
in the area. This study confirms ERT’s efficacy as a non-invasive environmental
monitoring tool for delineating contaminant plumes. The findings emphasize the
need for proactive groundwater protection, proper industrial waste management,
and potential remediation strategies in industrial-residential interface zones. ERT
proves valuable not only for detecting existing pollution but also for guiding future
land-use and environmental policy in developing regions facing industrialization
pressures.