Assessment of groundwater vulnerability to heavy metals in four aquifers using machine learning algorithms

Key Points

• Groundwater vulnerability to heavy metals is significant in four aquifers assessed.
• Machine learning algorithms revealed vulnerability scores, highlighting key contamination areas.
• Observational analysis across four aquifers led to the identification of heavy metal risks.
• Support for using machine learning can enhance understanding of aquifer vulnerability and inform water management.