Enhancing river health monitoring: Developing a reliable predictive model and mitigation plan

• Main Authors: Azha S.F., Sidek L.M., Ahmad Z., Zhang J., Basri H., Zawawi M.H., Noh N.M., Ahmed A.N.
• Other Authors: 56166798400
• Format: Article
• Published: Elsevier B.V. 2024
• Subjects: Batu Pahat River; Feedforward artificial neural network; Mitigation plans; SDG; Water Energy Security; Water quality index; Batu Pahat; Johor; Malaysia; West Malaysia; Climate change; Ecosystems; Energy security; Feedforward neural networks; Learning algorithms; Machine learning; Network security; River pollution; Water quality; Batu pahat river; Feed-forward artificial neural networks; Health monitoring; River health; Water energy; Water energy security; Water quality indexes; Water quality parameters; artificial neural network; climate change; machine learning; river pollution; water planning; water quality; water resource; Rivers
• Institution: Universiti Tenaga Nasional

The escalating environmental harm inflicted upon rivers is an unavoidable outcome resulting from climate fluctuations and anthropogenic activities, leading to a catastrophic impact on water quality and thousands of individuals succumb to waterborne diseases. Consequently, the water quality monitorin...