부산대학교 도서관

Water covered maximum area of earth surface; supply of water mainly depends on surface water. Ponds are act as reservoirs to save water in rainy season. The research study is designed to evaluate the superiority of pond water at the ancient Kamakshi Amman temple in Kanchipuram. Civilization contaminating the pond water, which slowly spreads into the metropolitan area by seeping through the medium of soil. This makes the present water was unhealthy for individual usage. Therefore, it is crucial to assess the water quality of ponds in built-up areas nearer to temples. The current study suggests an effective method for forecasting water quality called the ANFIS (adaptive network fuzzy inference system). The water feature parameters pH, dissolved oxygen (DO), total Dissolved solids (TDS), chloride (Cl), sulphate (SO4), iron (Fe), and total coliform count (TCC) at Kamakshi Amman temple pond water from the years 2017-2020 were collected for the analysis work. The elements used to measure the water class are frequently linked, and this creates an evaluation challenge. The uncorrelated measured element values are under a fuzzy process to obtain an improbability through data gathering and testing. The ANFIS modelling produces competent rules and regulations as well as the best allocation of membership action. The conclusions gathered through the ANFIS method were related with investigational standards. It is originate that the predicted standard values of the results are in high-quality concurrence with the investigational value. [ABSTRACT FROM AUTHOR]