Summary
Drinking water is important for our health. Disinfection helps keep the water safe and clean. However, some disinfection byproducts (DBPs) can be harmful. These DBPs form when water treatment plants use chemicals like chlorine to kill germs. There are many different DBPs, and identifying all of them would be costly and difficult for water treatment plants. This project will use machine learning (ML) to identify the toxicity of DBPs in drinking water and develop strategies for reducing the presence of high-risk DBPs in drinking water treatment. The results from the project will improve drinking
