Author

Li-Ting Xing

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Open access Aug 2026

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...

Sen Hou, Xue-Rui Xing, Li-Ting Xing et al. · Journal of Hydroinformatics · 0 citations

Open access Sep 2026

Response Characteristics of Karst Water Level to Precipitation and Hydrological Circulation Patterns in the Jinan Spring Basin, Northern China

Karst groundwater systems are characterized by highly heterogeneous flow networks, resulting in complex responses of groundwater levels to precipitation variability. The Jinan Spring Basin, one of the most representative karst spring systems in northern China, has experienced substantial changes in spring discharge due...

Da-Lu Yu, Huan Qi, Qing-Yu Xu et al. · Water · 0 citations