Computational modeling and water analysis of parameter estimation by uncertainty quantification in water resources

Falling losses from aquatic disease is the main public condition goal in developed countries. The present study terms the application of Physical Sciences and Environmental Sciences techniques to solve the real-life problem associated with the society. Water samples are taken from a river, pond, bore well, and municipality at Kabisthalam in Kumbakonam Taluk, Tanjore District, Tamil Nadu, South India. The current work defines the expansion of mathematical typical to expect the interaction parameters which were used to determine the quantitative characteristics of the water. Analysis of Variance (ANOVA) was employed to identify the level of importance in interaction parameters on their characteristics. The effect of these parameters on interaction has been investigated using experimental designs. The new results have been correlated using the Fuzzy Evidence Theory. The salient aspect of the work is that a very simplified analytic output of the fuzzy model is achieved when all fuzzy sets in the fuzzy partition of the output space have the same power (the area under the membership function), and the determination of basic probability assignments associated with fuzzy Dempster-Shafer belief structure using fuzzy focal elements.