A novel framework for groundwater quality evaluation in industrial zone using unsupervised machine learning methods

Key Points

• Groundwater quality assessment reveals significant variations due to industrial activity and contaminant presence.
• Machine learning methods detect patterns in data, enabling precise evaluation of contaminant levels.
• Observational analysis focuses on groundwater samples collected from selected industrial zones over two years.
• This highlights the need for improved monitoring techniques in industrial settings to address safety concerns.