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The accurate representation of groundwater recharge conditions performs a crucial role in hard rock terrain; where, incidence, flow and occurrence of subsurface water have limitations. This results into a domestic water scarcity, mainly in the summer season period of the Asna River basin, Maharashtra, India. The present work has been carried out in the Asna river basin using Fuzzy logic and GIS techniques to identify the potential groundwater recharge zones. In view of this, various multi-indicators (thematic layers) like Drainage, Lineaments, Geomorphology, Slope, Geomorphology, Rainfall and Water Table Fluctuation etc., have been used to delineate the best appropriate sites for artificial subsurface water rejuvenation of the Asna River basin. The thematic indicators were generated from inventory maps and database, satellite imageries, and field surveys for identification of the best appropriate sites for …