Integration of RNN and CatBoost models in a tea-waste biochar filtration system for toxic organic pollutant removal efficiency prediction

Key Points

• The integration of RNN and CatBoost models predicts pollutant removal efficiency effectively.
• Filtration studies reveal up to 90% removal efficiency of pollutants from synthetic wastewater.
• Application of tea-waste biochar enhances filtration performance across different temperatures.
• The findings highlight the potential of using machine learning in environmental remediation strategies.