Prediction of groundwater level fluctuations using artificial intelligence-based models and GMS

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...

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Bibliographic Details
Main Authors: Khabat Star Mohammed, Saeid Shabanlou, Ahmad Rajabi, Fariborz Yosefvand, Mohammad Ali Izadbakhsh
Format: Article
Language:English
Published: SpringerOpen 2022-12-01
Series:Applied Water Science
Subjects:
Groundwater level prediction
GMS
Hybrid models
ELM
ORELM
Online Access:https://doi.org/10.1007/s13201-022-01861-7

Internet

https://doi.org/10.1007/s13201-022-01861-7

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