Enhancing source water quality predictions to improve treatment by integrating watershed data on water quality, river flow and rainfall into interpretable machine learning algorithms

Rainfall and river flow affect raw water quality, and ML models like XGBoost can predict turbidity using upstream data. Integrating upstream turbidity improves predictions and helps operators adjust treatment processes.