A NOVEL APPROACH FOR ASSESSMENT OF HEALTH OF RIVER YAMUNA USING FUZZY INDEX AND WQI BY NSF

Abstract

The water quality (WQ) status of water bodies is highly uncertain and subjective in nature. The present paper addresses a “Fuzzy Water Quality Index” (FWQI) which is capable to deal with subjectivities and uncertainties concerning river health at five sites of the Yamuna river, India.The five sites where the water quality were analysed are Palla, Nizamuddin, OKHLA, Agra Canal (Kalinidi Kunj), Agra Canal (Madanpur Khadar). By defining four parameters like pH, dissolved oxygen (DO), biological oxygen demand (BOD), total coliform (TC) fuzzy model is established. Model uses triangular membership functions for fuzzification, and centroid method for defuzzification.The proposed proficient method includes a fuzzy model which include IF-THEN ideas that helps to determine River health using WQ parameters. Further, the performance of models is compared with Water Quality Index as evolved by National Sanitation Foundation. The indices were compared using Pearson product moment Correlation coefficient. The coefficient of correlation were as follows:- 1. The correlation between FWQI and NSF WQI at Palla is 0.82058 2. The correlation between FWQI and NSF WQI at Nizamuddin is 0.90838 3. The correlation between FWQI and NSF WQI at Agra Canal(Kalinidi kunj) is 0.893 4. The correlation between FWQI and NSF WQI at OKHLA is 0.902117 5. The correlation between FWQI and NSF WQI at Agra Canal(Madanpur Khadar) is 0.86459. The correlation at all the sites were found to be strong as they were above 0.8. The proposed FWQI provides the flexibility for decision making in an integrated WQ management policies.