The realm of water quality management demands robust strategies to ensure the availability of clean and safe water resources. In this context, Data-Driven Process Optimization (DDPO) emerges as a powerful tool for analyzing water quality and optimizing treatment processes. By leveraging the understanding gleaned from historical water quality data,