Impacts of regional characteristics on improving the accuracy of groundwater level prediction using machine learning: The case of central eastern continental United States

Impacts of regional characteristics on improving the accuracy of groundwater level prediction using machine learning: The case of central eastern continental United States

10.1016/j.ejrh.2021.100930

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Bibliographic Details
Main Authors: Cai, Hejiang, Shi, Haiyun, Liu, Suning, Babovic, Vladan
Other Authors: COLLEGE OF DESIGN AND ENGINEERING
Format: Article
Published: Elsevier B.V. 2022
Subjects:
Central eastern continental United States
Detrended fluctuation analysis
Groundwater level
Machine learning
Principal component analysis
Regional characteristics
Online Access:https://scholarbank.nus.edu.sg/handle/10635/233122
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Institution: National University of Singapore

Internet

https://scholarbank.nus.edu.sg/handle/10635/233122

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