“WATER QUALITY MODELING OF PURNA RIVER USING ANFIS”

Abstract

 River Purna being polluted from the effluents discharged from the nearby industries, towns and villages
located near the banks. The presence of pollutant makes water most unsuitable for human use. The fertilizers used for
agricultural purpose affect the pH and nitrate content of water. Assessment of Water Quality Index (WQI) of water is
extremely important at the gauging stations located near the industries to prepare remedial measures. To the end, the
present study proposes an efficient methodology such as adaptive Neuro fuzzy inference system (ANFIS) for the
prediction of water quality in Purna River. The model performed quite satisfactory with actual and predicted data on
water quality. It can be concluded that if the present conditions can be considered to remain the future years could
have most likely similar trend as from the trend observed during 2011 to 2016.