Groundwater potential evaluation using fuzzy inference system
Groundwater potential evaluation using fuzzy inference system is a scholarly work, published in 2018 in ''Desalination and Water Treatment''. The main subjects of the publication include water resource, groundwater model, data mining, artificial intelligence, computer science, environmental science, groundwater, groundwater recharge, Adaptive neuro fuzzy inference system, process, fuzzy set, water quality, hydrological model, inference, and fuzzy logic. Fuzzy system uses human intelligence for quantifying the prediction in real world scenario through proper modelling of the fuzziness of real world data by defining rules.Fuzzy inference system (FIS) address the reasoning process of human thinking by means of fuzzy logic by giving set of fuzzy IF THEN rules.FIS are used to solve in making decisions to the problems.Here, below the ground is an imaginary sector that cannot be seen only measured and focused in research.The lithology below the ground is studied based on the data observed by observation wells.Nambiyar Watershed is an overexploited zone in which the water level is under depletion day-to-day going down and is crucial at this state and its mandatory to be improved.This study helps to highlight the scenario of the study area and its potentiality of water resource.The analysis is carried out in ArcGIS software finding the site suitable for artificial recharge and the ground water potentiality is evaluated using FIS, which implies the human reasoning.The potential evaluation of ground water is found by the usage of FIS in the proposed work.This research identifies site suitable for groundwater recharge and these results are visualized for ground water remedial measures.