Innovative approach for the development of a water quality identification index—a case study from the Wen-Rui Tang River watershed, China

Abstract

Many different approaches have been suggested for the assessment of organic pollution and related water quality variables. However, many methods used to assess organic pollution cannot qualitatively estimate the degree of importance of each pollutant. Water quality identification indices can provide comprehensive water quality information, which is both qualitative and quantitative, especially for areas worse than Grade V of the National Surface Water Quality Standard of China. However, this method considers every indicator equally, without considering the degree of importance of each parameter. Consequently, in this study, the entropy weight method was combined with the water quality identification index method. The improved comprehensive water quality identification index was applied to a water quality data-set for the Wen-Rui Tang River in China, which was generated in 2009 during six months of monitoring at 16 different sites and included seven parameters. The results indicated that the improved comprehensive water quality identification index provided an objective evaluation of each water quality indicator. Understanding the significance of each water quality parameter will help to implement more effective water quality improvement plans.

Keywords:

• Organic pollution
• Water quality assessment
• Entropy weight methods
• Water quality identification index method

Acknowledgment

The authors would like to express their appreciation to partners in Wenzhou Medical University who have provided them with secondary data and valuable insight. They are also grateful to the editor and reviewers who have helped improve the present article with their most appropriate suggestions.