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Integrated GIS-machine learning approach to irrigation water quality assessment in coastal aquifers

Abstract Groundwater has become a vital and increasingly relied-upon resource, especially in semi-arid and arid regions. Thus, to ensure groundwater complies with standards before use, continuous monitoring and comprehensive quality assessment are essential. This study was conducted to assess the qu...

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Principais autores: Loubna Nefla, Amira Bergal, Warda Boumaraf, Samira Gheid, Chahrazed Bouksiba, Hichem Khammar, Fulvio Celico, Hichem Nasri, Aissam Gaagai, Salah Elsayed, Mohamed S. Abd El-baki, Abdullah M. Attiah, András Székács, Omar Saeed, Mohamed Gad
Format: Artigo
Sprog:Inglês
Udgivet: Nature Portfolio 2026-01-01
Serier:Scientific Reports
Fag:
Irrigation groundwater quality
Hydrogeochemical properties
Machine learning algorithms
GIS techniques
Algeria
Online adgang:https://doi.org/10.1038/s41598-025-25461-y
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