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Communication Dans Un Congrès Année : 2024

Using Partial Triadic Analysis (PTA) to Assess Spatiotemporal Variation in Water Quality

Résumé

In this research, multivariate data analysis method called partial triadic analysis (PTA) were derived to unravel spatiotemporal variations in water quality and to identify potential sources of water pollution in the Northern Tunisia. The sampling was conducted in ten sites located in the north-eastern Tunisia part at the Cap Bon-Meliane watershed. We collected 16 environmental parameters of which were find significant spatial variations, suggesting the issue of anthropogenic activities by multiple stressors such as organic pollution and nutrients (agricultural activities); oxygen-consuming organic pollution (industry wastewater), salinization (agricultural activities, organic decomposition and geologic deposits). Therefore, the identification of the main potential environmental hazards in north-eastern of Tunisia by this study is a useful way of reporting the water quality status and developing better water resources protection.
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Dates et versions

hal-04659761 , version 1 (23-07-2024)

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Noura Slimani, Eric Guilbert, David Sánchez-Fernández, Moncef Boumaïza, Malika Trabelsi-Ayadi, et al.. Using Partial Triadic Analysis (PTA) to Assess Spatiotemporal Variation in Water Quality. Recent Advances in Environmental Science from the Euro-Mediterranean and Surrounding Regions (4th Edition), Mohamed Ksibi, Arturo Sousa, Olfa Hentati, Haroun Chenchouni, José Lopes Velho, Abdelazim Negm, Jesús Rodrigo-Comino, Riheb Hadji, Sudip Chakraborty, Achraf Ghorbal, Nov 2022, Sousse, Tunisia. pp.1063-1066, ⟨10.1007/978-3-031-51904-8_231⟩. ⟨hal-04659761⟩
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