Hybrid Deep Learning with Multi-Source Data Fusion for Deep Groundwater-Level Prediction and Anomaly Detection
Deep groundwater dynamics, influenced by multiple factors, exhibit multi-scale periodicity, nonlinearity, and non-stationarity, posing significant challenges for reliable groundwater level prediction and anomaly detection. To address this issue, this study develops a hybrid deep learning model for simulating and predic...