Enhancing river water quality modelling using a PCA-based multivariate Water Quality Index with machine learning prediction across 14 Malaysian river basins
An integrated framework that combines multivariate statistics and machine learning to enhance data-driven water quality management in Malaysia by incorporating statistical interpretation and predictive modelling is developed, enabling robust estimation of real-time water quality from routine monitoring data.