A Survey of Machine and Deep Learning Applications in the Assessment of Water Quality

Actually, water is an important resource in different domains namely farming, healthcare and tourism, as well as in industry. Every living being is depending on adequate amounts of good quality water for its survival and development. The global water system is driven by both evaporation and transpiration, as well as condensation, rainfall and runoff, and typically reaches the ocean. Predicting water quality based on different parameters is essential for the design, decision making and management of this resource. Over the past two decades, water quality modeling has enjoyed considerable growth through the implementation of machine learning techniques. This review examines the various supervised, unsupervised, semi-supervised, and ensemble machine learning models implemented for the prediction of groundwater quality parameters. Furthermore, this study listed some water domains where machine learning is used to predict and monitor water quality.