Towards a time and cost effective approach to water quality index class prediction

• Main Authors: Ho J.Y., Afan H.A., El-Shafie A.H., Koting S.B., Mohd N.S., Jaafar W.Z.B., Lai Sai H., Malek M.A., Ahmed A.N., Mohtar W.H.M.W., Elshorbagy A., El-Shafie A.
• Other Authors: 57208900599
• Format: Article
• Published: Elsevier B.V. 2023

Ammonia; Biochemical oxygen demand; Cost effectiveness; Data mining; Decision trees; Dissolved oxygen; Forecasting; Learning systems; Quality assurance; Rivers; Water conservation; Water management; Water quality; Biochemical oxygen demands (BOD); Cost-effective approach; Decision tree modeling; Prediction model; River water quality; Water quality indexes; Water quality parameters; Water quality predictions; River pollution; accuracy assessment; cost analysis; decision analysis; experimental study; hydrological modeling; index method; machine learning; numerical model; parameter estimation; prediction; river management; river water; water quality; Klang River; Malaysia; West Malaysia