Xue-Rui Xing

Groundwater level prediction in a karst aquifer using spatio-temporal graph convolutional networks: a case study of Jinan, China

Workflow of a spatio-temporal graph convolutional network predicting karst groundwater levels, with a Random Forest ranking driving factors. Accurate groundwater level prediction in karst aquifer systems remains challenging due to their complex hydrogeological characteristics, including rapid recharge responses, pre...