Geo-AI Ensemble Modeling Framework for Assessing Groundwater Contamination Under Anthropogenic Pressures in an Extensive Peri-Urban Agricultural Aquifer to Support Sustainable Groundwater Management

Urban Farm DB summary

This study developed a Geo-AI ensemble modeling framework to assess groundwater contamination dynamics in peri-urban agricultural aquifers. Applied to the Manouba aquifer in Tunisia using 295 samples from 85 wells (2005-2025), the spatial analysis revealed severe contamination expanded from 7% of the study area in 2005 to 55% in 2025. Urban expansion and agricultural intensification were found to reduce recharge, increase pollutant loading, and accelerate contaminant accumulation.