Reliability-Validated Explainable Machine Learning for Alum Dosage Prediction in Surface-Water Treatment
Optimizing alum dosage remains a major operational challenge in surface-water treatment because coagulant demand is governed by nonlinear physicochemical interactions, episodic source-water disturbances, and non-Gaussian variability. This study developed a reliability-validated and explainable machine-learning framewor...