Prediction of Groundwater Level and its Correlation with Land Subsidence and Groundwater Quality in Cangzhou, North China Plain, Using Time-Series Long Short-Term Memory Neural Network and Hybrid Models - Nafouanti, Mouigni Baraka; Li, Junxia; Chakira, Hamada; Nyakilla, Edwin E.; Fabiani, Denice Cleophace; Gondwe, Jane Ferah; Sallah, Ismaila (Natural resources research (New York, N.Y.), 2025)
Keywords: China; Contamination; Correlation; Deep learning; Drinking water; Fluorides; Forecasting; Groundwater; Groundwater levels; Groundwater quality; Land subsidence; linear models; Long short-term memory; Mathematical models; Neural networks; Numerical models; prediction; Regression analysis; Subsidence; Support vector machines; Time series; time series analysis; Water quality; water table; China