Machine Learning Methods for Improved Understanding of a Pumping Test in Heterogeneous Aquifers

Machine Learning Methods for Improved Understanding of a Pumping Test in Heterogeneous Aquifers

Pumping tests are very important means for investigating aquifer properties; however, interpreting the data using common analytical solutions become invalid in complex aquifer systems. The paper aims to explore the potential of machine learning methods in retrieving the pumping tests information in...

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Bibliographic Details
Main Authors: Yong Fan, Litang Hu, Hongliang Wang, Xin Liu
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Water
Subjects:
pumping tests
machine learning
time-series analysis
cluster analysis
random forest method
Online Access:https://www.mdpi.com/2073-4441/12/5/1342

Internet

https://www.mdpi.com/2073-4441/12/5/1342

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