Differentiation of Multi-Parametric Groups of Groundwater Bodies through Discriminant Analysis and Machine Learning

Differentiation of Multi-Parametric Groups of Groundwater Bodies through Discriminant Analysis and Machine Learning

In order to facilitate the monitoring of groundwater quality in France, the groundwater bodies (GWB) in the Provence-Alpes-Côte d’Azur region have been grouped into 11 homogeneous clusters on the basis of their physico-chemical and bacteriological characteristics. This study aims to test the legitim...

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Bibliographic Details
Main Authors: Ismail Mohsine, Ilias Kacimi, Vincent Valles, Marc Leblanc, Badr El Mahrad, Fabrice Dassonville, Nadia Kassou, Tarik Bouramtane, Shiny Abraham, Abdessamad Touiouine, Meryem Jabrane, Meryem Touzani, Abdoul Azize Barry, Suzanne Yameogo, Laurent Barbiero
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Hydrology
Subjects:
groundwater bodies
machine learning
discriminant analysis
chemical composition
bacteriological composition
PACA region
Online Access:https://www.mdpi.com/2306-5338/10/12/230

Internet

https://www.mdpi.com/2306-5338/10/12/230

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