Yogendra Singh
Chemistry
July 2024
This study provides a detailed analysis of Water Quality Indexes (WQIs), tracing their historical development and evolution from simple aggregative models to sophisticated approaches using multivariate analysis and machine learning. It explores data collection, normalization, weighing, and aggregation methods, highlighting their advantages and disadvantages. The research also explores the influence of technology and environmental challenges on WQI creation. The review seeks to clarify WQIs' intricacies and provide future directions for improving environmental monitoring and public health
210- 227
© Airo Journals 2021
