The Use of Machine Learning Algorithms for Evaluating Water Quality Index: A Survey and Perspective

Abstract

The quality of water is determined by its components, called the water parameters. The effect of each parameter on the water quality is different. To assess the water quality, sampling and measuring the value of these parameters are required. The water quality index (WQI) is a special indicator that integrates the value of many parameters into a single value. This value can be used to reflect effectively the quality of water. In this study, we present a survey on the application of machine learning (ML) method to estimate the WQI. A case study is also conducted to illustrate the use of the ML algorithm in the context.