Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Combining stable isotope and WQI methods to study the groundwater quality: a case study in Essaouira city, Morocco
por: Bahir, Mohammed, et al.
Publicado: (2022) -
Developing a Water Quality Index (WQI) for an Irrigation Dam
por: De La Mora-Orozco, Celia, et al.
Publicado: (2017) -
Data on drinking water quality using water quality index (WQI) and assessment of groundwater quality for irrigation purposes in Qorveh&Dehgolan, Kurdistan, Iran
por: Soleimani, Hamed, et al.
Publicado: (2018) -
Groundwater Contamination Monitoring for Pollution Measurement and Transmission Applying WQI Approaches from a Region of the Erode District, Tamilnadu, India
por: Manoj Shanmugamoorthy, et al.
Publicado: (2023) -
Hybrid-based Bayesian algorithm and hydrologic indices for flash flood vulnerability assessment in coastal regions: machine learning, risk prediction, and environmental impact
por: Abu El-Magd, Sherif Ahmed, et al.
Publicado: (2022)