Groundwater level forecasting with machine learning models: A review

• Main Authors: Boo, Kenneth Beng Wee, El-Shafie, Ahmed, Othman, Faridah, Khan, Md. Munir Hayet, Birima, Ahmed H., Ahmed, Ali Najah
• Format: Article
• Published: Elsevier 2024
• Subjects: TA Engineering (General). Civil engineering (General); TD Environmental technology. Sanitary engineering
• Online Access: http://eprints.um.edu.my/45651/; https://doi.org/10.1016/j.watres.2024.121249
• Institution: Universiti Malaya

Groundwater, the world's most abundant source of freshwater, is rapidly depleting in many regions due to a variety of factors. Accurate forecasting of groundwater level (GWL) is essential for effective management of this vital resource, but it remains a complex and challenging task. In recent y...