Groundwater level forecasting in response to climate change scenarios in southwestern Saskatchewan using wavelet decomposition and artificial neural networks

Global warming has intensified extreme climate events, including prolonged droughts, altering precipitation patterns and threatening groundwater resources. Additional stresses from economic development, population growth, and land use changes exacerbate groundwater depletion, often exceeding recharge rates. This study develops a hybrid artificial neural networks (ANN) and wavelet decomposition (WA) model to forecast long-term groundwater levels …