Water quality index estimation using fuzzy optimization technique

Surface water is an important natural resource for drinking water. But the quality of water is a significant issue of pertinence with regards to recent times. There are different statistical methods to find out Water Quality Index (WQI). This model aimed to estimate the WQI of the Cauvery River water near Mettur Reservoir in Tamil Nadu. Initially the water samples are collected in the Mettur catchment area and then basic parameters of the water samples are analyzed using the usual procedure adopted for water quality analysis as per the Central Pollution Control Board (CPCB) guidelines . The computation of WQI can be simplified and speed up by using a Fuzzy Inference System (FIS) with the right now existing norms for calculation of WQI. The proposed model in this research study is equated with Indian Water Quality Index guidelines (IWQI) and it is discovered that the structured model outcomes matching with the experimental outcome. This also highlights that fuzzy inference system will be an effective tool in representing the WQI output to the common public so that they can easily understand the importance of the same.