Intelligent Water Quality Assessment of Vartur Lake through Fuzzy Based Expert System

Fuzzy logic is crucial in water quality assessment for its capacity to handle imprecise data and model complex relationships among various parameters. Its application enables nuanced evaluations, aiding in effective decision-making for sustainable environmental management and conservation of water resources. This paper presents an intelligent approach to assess water quality in Vartur Lake using a Fuzzy Logic-based expert system which incorporates linguistic variables and fuzzy membership functions to provide a nuanced evaluation of water quality parameters across different seasons. Through meticulous definition of fuzzy membership functions and iterative rule base optimization, the proposed approach demonstrates the effectiveness of fuzzy logic in handling uncertainty and variability in water quality data, resulting in a robust and adaptable framework for water quality assessment. The results highlight the advantages of the Fuzzy Water Quality Index (FWQI) over traditional Water Quality Index (WQI) methods, showcasing its flexibility, adaptability to seasonal variations, and ability to provide a more comprehensive understanding of water quality conditions, thereby offering valuable insights for environmental management and decision-making. By leveraging Fuzzy Logic’s ability to handle imprecise information, the proposed approach offers a valuable tool for environmental monitoring and management, contributing to the sustainable preservation of Vartur Lake’s ecosystem and surrounding communities.