Application of machine learning and deep learning for predicting groundwater levels in the West Coast Aquifer System, South Africa
Ndubuisi Igwebuike,
Moyinoluwa Ajayi,
Chukwuma Okolie
et al.
Abstract:Groundwater models are valuable tools to quantify the response of groundwater level to hydrological stresses induced by climate variability and groundwater extraction. These models strive for sustainable groundwater management by balancing recharge, discharge, and natural processes, with groundwater level serving as a critical response variable. While traditional numerical models are labour-intensive, machine learning and deep learning offer a data-driven alternative, learning from historical data to predict g… Show more
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