Author

Pengjun Bai

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Open access Oct 2026

Machine Learning-Based Groundwater Level Simulation for Industrial Water Management: A Comparative Study of ARIMA, BP-ANN and Random Forest

Timely and accurate simulation of regional groundwater level dynamics is critical to guarantee stable water supply for agricultural production and manufacturing sectors in arid semi-arid loess regions. This study adopts Variable Projection Importance (VPI) to screen feature variables controlling groundwater fluctuation...

Cui-Xiang Jia, Bin Lu, Peng-Jun Bai · ICST Transactions on Scalabl... · 0 citations

Open access Aug 2026

Refined simulation of groundwater level dynamics based on a machine learning stacking framework

Accurate and rapid prediction of groundwater levels (GWL) is essential for effective groundwater management. Machine learning models are efficient tools for GWL prediction, but individual models often suffer from limited generalization due to inherent randomness. This study proposed a stacking-based GWL prediction fr...

Xunzhen Cui, Xiaoxia Du, Haixia Dong et al. · Frontiers in Water · 0 citations