Development of a fuzzy-based approach for assessing water quality

Fresh water is vital for the survival of life. Rivers are the primary source of freshwater supply. However, over the past few decades, challenges concerning the sustainability of rivers and maintaining their water quality have become countless. Due to rapid and unrestrained advancements, the river e...

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Bibliographic Details
Published in:Water science & technology. Water supply 2023-11, Vol.23 (11), p.4374-4385
Main Authors: Gulati, Sumita, Bansal, Anshul, Pal, Ashok
Format: Article
Language:English
Subjects:
biological oxygen demand
dissolved oxygen
fuzzy logic controller
membership function
water quality index
yamuna river
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Summary:Fresh water is vital for the survival of life. Rivers are the primary source of freshwater supply. However, over the past few decades, challenges concerning the sustainability of rivers and maintaining their water quality have become countless. Due to rapid and unrestrained advancements, the river ecosystem becomes imbalanced. To assess and predict water quality from the real data collected, it becomes necessary to devise ways to interpret and analyze the data efficiently. The present work deals with the development of a water quality index based on a fuzzy approach for predicting the water quality of the river Yamuna. The most contaminated stretch of the river through Delhi has been taken up for this study. The proposed methodology is elementary, simple, effective, and flexible in assimilating uncertainties involved in complex water management problems. The suggested index involves the most dominant parameters and can act as a practical tool for routine water quality assessment. The outcomes of the study give pronounced facts to water authorities about the awful condition of the river Yamuna in Delhi.
ISSN:1606-9749
1607-0798
DOI:10.2166/ws.2023.279