Prediction of groundwater level under the influence of groundwater exploitation using a data-driven method with the combination of time series analysis and long short-term memory: a case study of a coastal aquifer in Rizhao City, Northern China

Prediction of groundwater level under the influence of groundwater exploitation using a data-driven method with the combination of time series analysis and long short-term memory: a case study of a coastal aquifer in Rizhao City, Northern China

The excessive exploitation of groundwater not only destroys the dynamic balance between coastal aquifer and seawater but also causes a series of geological and environmental problems. Groundwater level prediction provides an efficient way to solve these intractable ecological problems. Although seve...

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Bibliographic Details
Main Authors: Benli Guo, Shouchuan Zhang, Kai Liu, Peng Yang, Honglian Xing, Qiyuan Feng, Wei Zhu, Yaoyao Zhang, Wuhui Jia
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-11-01
Series:Frontiers in Environmental Science
Subjects:
long short term memory neural network
coastal groundwater levels
groundwater regime
groundwater withdrawal
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2023.1253949/full

Internet

https://www.frontiersin.org/articles/10.3389/fenvs.2023.1253949/full

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