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Accurate prediction of groundwater levels (GWL) is essential for effective and sustainable water resource management, particularly in arid and semiarid regions where excessive extraction and climate change significantly accelerate aquifer depletion. The nonstationary characteristics of groundwater data pose significant challenges to the performance and reliability of conventional machine learning
