A Comparative Study of Water Quality of River Yamuna using Fuzzy Logic and NSF WQI
Salila Bharti,  A. K. Gupta
The water quality of river as a whole is highly debatable, subjective and uncertain in nature. A water quality index generated as single number demonstrates overall quality of water. In this paper, an Artifical Intelligence technique, Fuzzy logic is used to develop Fuzzy Water Quality Index (FWQI). The study was conducted along the stretch of river Yamuna at five different locations – Palla, Nizamuddin, Agra Canal (Kalinidi Kunj), OKHLA and Agra Canal (Madanpur Khadar). Various parameters considered in the study are dissolved oxygen (DO), biochemical oxygen demand (BOD), chemical oxygen demand (COD), pH,and total coliform (TC). The model developed is compared with National Sanitation Foundation Water Quality Index (NSF WQI). The study showed that FWQI gives fine results when compared with NSF WQI.
Therefore, it is concluded that the health of river Yamuna is in miserable condition and stern actions need to be taken to change the current scenario.
Keywords- Artificial Intelligence, Fuzzy logic, FWQI, NSF WQI
Cite this Article
Salila Bharti,  A. K. Gupta,   "A Comparative Study of Water Quality of River Yamuna using Fuzzy Logic and NSF WQI"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.7, Issue 2, pp.249-252, May 2019, Available at :http://www.ijedr.org/papers/IJEDR1902050.pdf