Application of Water Quality Indices, Machine Learning Approaches, and GIS to Identify Groundwater Quality for Irrigation Purposes: A Case Study of Sahara Aquifer, Doucen Plain, Algeria

Application of Water Quality Indices, Machine Learning Approaches, and GIS to Identify Groundwater Quality for Irrigation Purposes: A Case Study of Sahara Aquifer, Doucen Plain, Algeria

In order to evaluate and project the quality of groundwater utilized for irrigation in the Sahara aquifer in Algeria, this research employed irrigation water quality indices (IWQIs), artificial neural network (ANN) models, and Gradient Boosting Regression (GBR), alongside multivariate statistical an...

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Bibliographic Details
Main Authors: Aissam Gaagai, Hani Amir Aouissi, Selma Bencedira, Gilbert Hinge, Ali Athamena, Salim Heddam, Mohamed Gad, Osama Elsherbiny, Salah Elsayed, Mohamed Hamdy Eid, Hekmat Ibrahim
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Water
Subjects:
geographic information system (GIS)
artificial neural network (ANN)
multivariate analysis
gradient boosting regression (GBR)
Sahara aquifer
Algeria
Online Access:https://www.mdpi.com/2073-4441/15/2/289

Internet

https://www.mdpi.com/2073-4441/15/2/289

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