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

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...

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Bibliographic Details
Main Authors: Nguyen, Huu Du, Nguyen, Tai Quang Dinh, Thi, Hien Nguyen, Lap, Bui Quoc, Phan, Thi-Thu-Hong
Format: Conference Proceeding
Language:English
Subjects:
Biological system modeling
Extra Tree
Feature Selection
Indexes
Machine learning
Machine learning algorithms
Maximum likelihood estimation
Pattern recognition
Water quality
Water Quality Index
Water Quality Parameter
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Summary: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.
ISSN:2770-6850
DOI:10.1109/MAPR56351.2022.9924736