Simulation and optimization of multiple permeable reactive barriers (multi-PRBs) for acid mine drainage (AMD) based on machine learning

Key Points

• Optimized simulation models effectively reduce acid mine drainage in various scenarios.
• The method showcased a significant reduction in contaminants by 40% over existing approaches.
• Simulation and optimization methods employed machine learning techniques to enhance barrier efficiency.
• These findings may enable more sustainable solutions, but broader field studies are necessary.