Identification of the correlation between land subsidence and groundwater level in Cangzhou, North China Plain, based on time-series PS-InSAR and machine-learning approaches - Nafouanti, Mouigni Baraka; Li, Junxia; Li, Hexue; Ngata, Mbega Ramadhani; Sun, Danyang; Huang, Yihong; Zhou, Chuanfu; Wang, Lu; Nyakilla, Edwin E. (Hydrogeology journal, 2024)
Keywords: Aquatic Pollution; Aquifers; artificial intelligence; China; Deformation; Earth and Environmental Science; Earth Sciences; evolution; Geology; Geophysics/Geodesy; Groundwater; Groundwater levels; Hydrogeology; Hydrology/Water Resources; Identification methods; Interferometric synthetic aperture radar; Interferometry; Land subsidence; Learning algorithms; Machine learning; Overexploitation; Radar; SAR (radar); subsidence; Synthetic aperture radar; Synthetic aperture radar interferometry; Time series; time series analysis; Waste Water Technology; Water diversion; Water Management; Water Pollution Control; Water Quality/Water Pollution; water table; China; PS-InSAR; Random forest; k-nearest neighbor; China; Groundwater level