Applying Multivariate Analysis and Machine Learning Approaches to Evaluating Groundwater Quality on the Kairouan Plain, Tunisia

Applying Multivariate Analysis and Machine Learning Approaches to Evaluating Groundwater Quality on the Kairouan Plain, Tunisia

In the Zeroud basin, a diverse array of methodologies were employed to assess, simulate, and predict the quality of groundwater intended for irrigation. These methodologies included the irrigation water quality indices (IWQIs); intricate statistical analysis involving multiple variables, supported w...

Full description

Bibliographic Details
Main Authors: Sarra Bel Haj Salem, Aissam Gaagai, Imed Ben Slimene, Amor Ben Moussa, Kamel Zouari, Krishna Kumar Yadav, Mohamed Hamdy Eid, Mostafa R. Abukhadra, Ahmed M. El-Sherbeeny, Mohamed Gad, Mohamed Farouk, Osama Elsherbiny, Salah Elsayed, Stefano Bellucci, Hekmat Ibrahim
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Water
Subjects:
physicochemical parameters
groundwater
agriculture
cluster analysis
machine learning models
GIS
Online Access:https://www.mdpi.com/2073-4441/15/19/3495

Internet

https://www.mdpi.com/2073-4441/15/19/3495

Similar Items