Prediction of groundwater level fluctuations using artificial intelligence-based models and GMS
Abstract Groundwater level fluctuations are one of the main components of the hydrogeological cycle and one of the required variables for many water resources operation models. The numerical models can estimate groundwater level (GWL) based on extensive statistics and information and using complex e...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2022-12-01
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Series: | Applied Water Science |
Subjects: | |
Online Access: | https://doi.org/10.1007/s13201-022-01861-7 |