Integrating catchment, climate and reservoir drivers to estimate the risk of THM formation at a drinking water treatment plant inlet

Key Points

• To estimate the risk of trihalomethane formation at a drinking water treatment plant using hydrometeorology and reservoir data.
• Utilized long-term monitoring data.
• Applied machine learning techniques for analysis.
• Examined hydrometeorological and reservoir operational data.
• Identified key upstream factors influencing trihalomethane risk.
• Developed a predictive model for trihalomethane formation conditions.

Abstract