Enhancing groundwater level prediction accuracy at a daily scale through combined machine learning and physics-based modeling

Enhancing groundwater level prediction accuracy at a daily scale through combined machine learning and physics-based modeling

Study region: Yongding River alluvial proluvial fan, a part of North China Plain with intense groundwater withdrawals. Study focus: The objective of this study is to enhance the accuracy of groundwater level (GWL) prediction at a daily scale by combining short-term memory (LSTM) and physics-based (P...

Full description

Bibliographic Details
Main Authors: Kangning Sun, Litang Hu, Jianchong Sun, Xiaoyuan Cao
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Journal of Hydrology: Regional Studies
Subjects:
Combined application
Groundwater level prediction
Machine learning
Numerical simulation
Yongding river
Online Access:http://www.sciencedirect.com/science/article/pii/S2214581823002641

Internet

http://www.sciencedirect.com/science/article/pii/S2214581823002641

Similar Items