Groundwater quality assessment using machine learning models: a comprehensive study on the industrial corridor of a semi-arid region
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11356-024-34119-7.pdf
Reference115 articles.
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2. Abba SI, Yassin MA, Mubarak AS, Shah SMH, Usman J, Oudah AY, Naganna SR, Aljundi IH (2023) Drinking water resources suitability assessment based on pollution index of groundwater using improved explainable artificial intelligence. Sustainability 15(21). https://doi.org/10.3390/su152115655
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4. Abu El-Magd SA, Ismael IS, El-Sabri MAS, Abdo MS, Farhat HI (2023b) Integrated machine learning–based model and WQI for groundwater quality assessment: ML, geospatial, and hydro-index approaches. Environ Sci Pollut Res:53862–53875. https://doi.org/10.1007/s11356-023-25938-1
5. Abu M, Musah R, Zango MS (2024) A combination of multivariate statistics and machine learning techniques in groundwater characterization and quality forecasting. Geosyst Geoenviron 3(2):100261. https://doi.org/10.1016/j.geogeo.2024.100261
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