Forecasting of groundwater level using artificial neural network by incorporating river recharge and river bank infiltration

• Main Authors: Shamsuddin, Mohd Khairul Nizar, Mohd Kusin, Faradiella, Sulaiman, Wan Nor Azmin, Ramli, Mohammad Firuz, Tajul Baharuddin, Mohamad Faizal, Adnan, Mohd Shalahuddin
• Format: Article
• Language: English
• Published: EDP Sciences 2017
• Subjects: TD419-428 Water pollution; TK7800-8360 Electronics
• Online Access: http://eprints.uthm.edu.my/3409/1/AJ%202017%20%2835%29%20Forecasting%20of%20groundwater%20level.pdf; http://eprints.uthm.edu.my/3409/; https://doi.org/10.1051/matecconf/201710304007
• Institution: Universiti Tun Hussein Onn Malaysia

Groundwater tables forecasting during implemented river bank infiltration (RBI) method is important to identify adequate storage of groundwater aquifer for water supply purposes. This study illustrates the development and application of artificial neural networks (ANNs) to predict groundwater ta...