Integrated machine learning–based model and WQI for groundwater quality assessment: ML, geospatial, and hydro-index approaches

The demands upon the arid area for water supply pose threats to both the quantity and quality of social and economic activities. Thus, a widely used machine learning model, namely the support vector machines (SVM) integrated with water quality indices (WQI), was used to assess the groundwater qualit...

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Detalles Bibliográficos
Autores principales: Abu El-Magd, Sherif Ahmed, Ismael, Ismael S., El-Sabri, Mohamed A. Sh., Abdo, Mohamed Sayed, Farhat, Hassan I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10119052/
https://www.ncbi.nlm.nih.gov/pubmed/36864333
http://dx.doi.org/10.1007/s11356-023-25938-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10119052/
https://www.ncbi.nlm.nih.gov/pubmed/36864333
http://dx.doi.org/10.1007/s11356-023-25938-1

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