Forecasting Groundwater Level by Characterizing Multiple Spatial Dependencies of Environmental Factors Using Graph‐Based Deep Learning

• Published in: Journal of geophysical research. Machine learning and computation Vol. 2; no. 2
• Main Authors: Wu, Yinghan, Mei, Gang, Shao, Kaixuan, Xu, Nengxiong, Peng, Jianbing
• Format: Journal Article
• Language: English
• Published: Wiley 01.06.2025
• Subjects: graph‐based deep learning; groundwater level forecasting; multiple spatial dependencies; temporal graph convolutional network

Accurate forecasting for groundwater levels is essential for water resource management and sustainable development. Regional variations in groundwater levels exhibit a complex spatial dependency structure due to the physical proximity of monitoring wells, hydrological connectivity, and shared enviro...