Application of Artificial Intelligence Models for modeling Water Quality in Groundwater: Comprehensive Review, Evaluation and Future Trends

• Main Authors: Hanoon M.S., Ahmed A.N., Fai C.M., Birima A.H., Razzaq A., Sherif M., Sefelnasr A., El-Shafie A.
• Other Authors: 57266877500
• Format: Review
• Published: Springer Science and Business Media Deutschland GmbH 2023

Aquifers; Forecasting; Groundwater resources; Hydrogeology; Machine learning; ANN; Artificial intelligence; Artificial intelligence methods; Future trends; Groundwater quality; Hybrid model; Intelligence models; Machine learning; Quality modeling; Water quality; boron; chloride; fluoride; ground wat...