Predicting groundwater level using traditional and deep machine learning algorithms

This research aims to evaluate various traditional or deep machine learning algorithms for the prediction of groundwater level (GWL) using three key input variables specific to Izeh City in the Khuzestan province of Iran: groundwater extraction rate (E), rainfall rate (R), and river flow rate (P) (w...

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Auteurs principaux:	Fan Feng, Hamzeh Ghorbani, Ahmed E. Radwan
Format:	Artigo
Langue:	Inglês
Publié:	Frontiers Media S.A. 2024-02-01
Collection:	Frontiers in Environmental Science
Sujets:	groundwater level deep machine learning CNN algorithm prediction water management
Accès en ligne:	https://www.frontiersin.org/articles/10.3389/fenvs.2024.1291327/full
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