Prediction of groundwater level using GMDH artificial neural network based on climate change scenarios

Prediction of groundwater level using GMDH artificial neural network based on climate change scenarios

Abstract One of the main challenges regarding the prediction of groundwater resource changes is the climate change phenomenon and its impacts on quantitative variations of such resources. Groundwater resources are treated as one of the main strategic resources of any region. Given the climate change...

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Bibliographic Details
Main Authors: Ehsan Azizi, Fariborz Yosefvand, Behrouz Yaghoubi, Mohammad Ali Izadbakhsh, Saeid Shabanlou
Format: Article
Language:English
Published: SpringerOpen 2024-03-01
Series:Applied Water Science
Subjects:
SDSM model
Climate change
GMDH
Rcp scenarios
Sahneh Plain
Greenhouse gas emission scenario
Online Access:https://doi.org/10.1007/s13201-024-02126-1

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