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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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Principais autores: Fan Feng, Hamzeh Ghorbani, Ahmed E. Radwan
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2024-02-01
Serier:Frontiers in Environmental Science
Fag:
groundwater level
deep machine learning
CNN algorithm
prediction
water management
Online adgang:https://www.frontiersin.org/articles/10.3389/fenvs.2024.1291327/full
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