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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

Mouigni Baraka Nafouanti, Junxia Li, Hamada Chakira, Edwin E. Nyakilla, Denice Cleophace Fabiani, Jane Ferah Gondwe, Ismaila Sallah

2025Natural Resources Research10 citationsDOI

Topics & Concepts

GroundwaterChinaHydrology (agriculture)Term (time)Series (stratigraphy)SubsidenceArtificial neural networkTime seriesEnvironmental scienceGeologyGeographyGeomorphologyGeotechnical engineeringPaleontologyArchaeologyComputer scienceMachine learningQuantum mechanicsStructural basinPhysicsHydrological Forecasting Using AIGroundwater and Watershed AnalysisRemote-Sensing Image Classification
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 | Litcius