Application of soft computing in predicting groundwater quality parameters

• 主要な著者: Hanoon, Marwah Sattar, Ammar, Amr Moftah, Ahmed, Ali Najah, Razzaq, Arif, Birima, Ahmed H., Kumar, Pavitra, Sherif, Mohsen, Sefelnasr, Ahmed, El-Shafie, Ahmed
• フォーマット: 論文
• 出版事項: Frontiers Media SA 2022
• 主題: GE Environmental Sciences
• オンライン･アクセス: http://eprints.um.edu.my/33338/

Evaluating the quality of groundwater in a specific aquifer could be a costly and time-consuming procedure. An attempt was made in this research to predict various parameters of water quality called Fe, Cl, SO4, pH and total hardness (as CaCO3) by measuring properties of total dissolved solids (TDSs...