STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Water Resource Engineering and Management

Assessing Water Quality through Correlation Matrix Analysis and Water Quality Index: A Comprehensive Review

  1. Shubhanshi Agrawal
  2. Atul Sharma

Abstract

Surface water management requires modern methods for analysis and assessment of surface water bodies. Employing Pearson Correlation to Assess Relationships Between Distinct Variables Yields Valuable Insights in Water Quality Analysis. Many recent studies use correlation analysis in different field of pollution, irrigation, and hydrological field. Correlation considered as great tool for finding relationship and inter-dependability. In this report we reviewed around 12 research papers which uses correlation and water quality index approaches, from different journal and  concise it to covers the structure of study, datasets used, methodology analysis, environment susceptibility, and assessments of river water quality. For better management and control of surface water quality and its treatment, this study will help in understanding and analyzing the studies reviewed in this paper and its future application. We can conclude that research on Water Quality assessment using Correlation matrix are inadequate in the context future vulnerability, observing increasing pollution in recent years we require more research in this field. Finally, this study provides breakthrough in Surface Water Engineering and Management to give a new direction to fore coming studies and fortified it scope also gives a comparative approach for its implementation in new studies.

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