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Article

Groundwater Bodies Subdivision in Corsica: A Critical Approach Based on Multivariate Water Quality Criteria Using Large Database

1
Geosciences, Water and Environment Laboratory, Faculty of Sciences Rabat, Mohammed V University, Avenue Ibn Batouta, Rabat 10100, Morocco
2
Geoscience and Environment Laboratory (LaGE), Department of Earth Sciences, Joseph KI-ZERBO University, Ouagadougou 7021, Burkina Faso
3
Laboratory of Geosciences, Faculty of Sciences, Ibn Tofaïl University, BP 133, Kenitra 14000, Morocco
4
Département d’Hydrogéologie, Université de Corse Pascal Paoli, Campus Grimaldi, BP52, 20250 Corte, France
5
Mixed Research Unit EMMAH (Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes), Hydrogeology Laboratory, Avignon University, 84916 Avignon, France
6
Faculté des Sciences et Techniques (FSTBM), BP 523, Beni Mellal 23000, Morocco
7
Institut de Recherche Pour le Développement, Géoscience Environnement Toulouse, CNRS, University of Toulouse, Observatoire Midi-Pyrénées, UMR 5563, 14 Avenue Edouard Belin, 31400 Toulouse, France
*
Author to whom correspondence should be addressed.
Hydrology 2023, 10(11), 213; https://doi.org/10.3390/hydrology10110213
Submission received: 9 October 2023 / Revised: 10 November 2023 / Accepted: 14 November 2023 / Published: 15 November 2023

Abstract

The cross-referencing of two databases, namely the compartmentalization into groundwater bodies (GWB) and the quality monitoring (2830 observations including 15 physico-chemical and bacteriological parameters, on 662 collection points and over a period of 27 years) is applied to better understand the diversity of the waters of the island of Corsica (France) and to facilitate the surveillance and quality monitoring of the groundwater resource. Data conditioning (log-transformation), dimensional reduction (PCA), classification (AHC) and then quantification of the information lost during grouping (ANOVA), highlight the need to sub-divide the groundwater bodies in the crystalline part of the island in order to take better account of lithological diversity and other environmental factors (slope, altitude, soil thickness, etc.). The compartmentalization into 15 units, mainly based on structural geology, provides less information than the grouping into 12 units after subdivision of the crystalline region. The diversity of the waters in terms of chemical and bacteriological composition is discussed, and the results encourage a review of the compartmentalization of the island’s GWBs, with a view to more targeted monitoring based on this diversity.
Keywords: groundwater bodies; water quality monitoring; database; Corsica; France groundwater bodies; water quality monitoring; database; Corsica; France

Share and Cite

MDPI and ACS Style

Lazar, H.; Ayach, M.; Barry, A.-A.; Mohsine, I.; Touiouine, A.; Huneau, F.; Mori, C.; Garel, É.; Kacimi, I.; Valles, V.; et al. Groundwater Bodies Subdivision in Corsica: A Critical Approach Based on Multivariate Water Quality Criteria Using Large Database. Hydrology 2023, 10, 213. https://doi.org/10.3390/hydrology10110213

AMA Style

Lazar H, Ayach M, Barry A-A, Mohsine I, Touiouine A, Huneau F, Mori C, Garel É, Kacimi I, Valles V, et al. Groundwater Bodies Subdivision in Corsica: A Critical Approach Based on Multivariate Water Quality Criteria Using Large Database. Hydrology. 2023; 10(11):213. https://doi.org/10.3390/hydrology10110213

Chicago/Turabian Style

Lazar, Hajar, Meryem Ayach, Abdoul-Azize Barry, Ismail Mohsine, Abdessamad Touiouine, Frédéric Huneau, Christophe Mori, Émilie Garel, Ilias Kacimi, Vincent Valles, and et al. 2023. "Groundwater Bodies Subdivision in Corsica: A Critical Approach Based on Multivariate Water Quality Criteria Using Large Database" Hydrology 10, no. 11: 213. https://doi.org/10.3390/hydrology10110213

APA Style

Lazar, H., Ayach, M., Barry, A.-A., Mohsine, I., Touiouine, A., Huneau, F., Mori, C., Garel, É., Kacimi, I., Valles, V., & Barbiero, L. (2023). Groundwater Bodies Subdivision in Corsica: A Critical Approach Based on Multivariate Water Quality Criteria Using Large Database. Hydrology, 10(11), 213. https://doi.org/10.3390/hydrology10110213

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