A survey on applications of machine learning algorithms in water quality assessment and water supply and management.

Managing water resources and determining the quality of surface and groundwater is one of the most significant issues fundamental to human and societal well-being. The process of maintaining water quality and managing water resources well involves complications due to human-induced errors. Therefore, applications that facilitate and enhance these processes have gained importance. In recent years, machine learning techniques have been applied successfully in the preservation of water quality and the management and planning of water resources. Water researchers have effectively used these techniques to integrate them into public management systems. In this study, data sources, pre-processing, and machine learning methods used in water research are briefly mentioned, and algorithms are categorized. Then, a general summary of the literature is presented on water quality determination and applications in water resources management. Lastly, the study was detailed using machine learning investigations on two publicly shared datasets. [ABSTRACT FROM AUTHOR]