ARTIFICIAL RECHARGE OF GROUNDWATER USING DATA MINING TECHNIQUES: A CONCEPTUAL SURVEY

Abstract Rainwater is one of the important natural resource of our mother earth. Many forms of land-based life depend on fresh water, which comes from rain. Only precipitation can enhance the echelon of Groundwater. In our mounting country few peoples are conscious inadequate ground water availability and ground water convenience and fresh water availability. Rapid urbanization is one of major part for affect the groundwater availability and accessibility and supply of water for domestic purpose and other needs. In metro city like Coimbatore is Manchester of Tamilnadu where rapidly urbanization place pushing up problems of housing, transport congestion, and solid waste disposal, directly impacts water resources and its quality endangering supply and sustainability. Artificial groundwater recharge it is based on collection of rainwater from surface such roof top water in urban areas. Rainfall prediction helps in the Artificial Recharge of Ground water. Soil is imperative source for storing water into groundwater recharge. Compares the groundwater availability and accessibility based for rapid populations and number of buildings so we compare that rainfall prediction and identify soil types in wasteland to install groundwater and then we compare groundwater availability accessibility for artificial groundwater recharge.