Deep Learning-Based Predictive Framework for Groundwater Level Forecast in Arid Irrigated Areas

• Published in: Water (Basel) Vol. 13; no. 18; p. 2558
• Main Authors: Liu, Wei, Yu, Haijiao, Yang, Linshan, Yin, Zhenliang, Zhu, Meng, Wen, Xiaohu
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 17.09.2021
• Subjects: Accuracy; agricultural management; Algorithms; basins; China; Decomposition; Deep learning; Feature selection; Forecasting; Groundwater; Hydrology; Irrigation; Machine learning; Optimization techniques; regression analysis; Time series; uncertainty; uncertainty analysis; Variables; water table; Wavelet transforms; China

An accurate groundwater level (GWL) forecast at multi timescales is vital for agricultural management and water resource scheduling in arid irrigated areas such as the Hexi Corridor, China. However, the forecast of GWL in these areas remains a challenging task owing to the deficient hydrogeological...