Fuzzy Models for Water Quality Assessment

Abstract

Water is the most abundant substance on the earth and is the principal constituent of all living things. At the present time rising populations and improving living standards are placing increasing pressers on available water resources. In past, fuzzy rationale based methodologies have shown to be fitting to address subjectivity and vulnerability in natural issues. In this examination, an approach dependent on Fuzzy System to survey the quality of water based on limited observations is proposed. A model for water quality with fuzzy reasoning has been developed for drinking and irrigational use. Application of proposed fuzzy model is demonstrated with a case study for Yamuna River, located in India. River water quality fuzzy model based on four water parameters pH, Dissolved Oxygen (DO), Total Dissolved Solids (TDS) & Chemical Oxygen Demand (COD) and two outputs was used to evaluate the Yamuna River quality.