Water level prediction using various machine learning algorithms: A case study of Durian Tunggal river, Malaysia

• Main Authors: Ahmed, Ali Najah, Yafouz, Ayman, Birima, Ahmed H., Kisi, Ozgur, Huang, Yuk Feng, Sherif, Mohsen, Sefelnasr, Ahmed, El-Shafie, Ahmed
• Format: Article
• Published: Taylor & Francis Ltd 2022
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/32716/

A reliable model to predict the changes in the water levels in a river is crucial for better planning to mitigate any risk associated with flooding. In this study, six different Machine Learning (ML) algorithms were developed to predict the river's water level, on a daily basis based on collect...