Groundwater vulnerability assessment for drinking water suitability using Fuzzy Shannon Entropy model in a semi-arid river basin

Groundwater protection against geogenic and anthropogenic diffuse pollutants are of preeminent importance for convoying groundwater-dependent hydro-aquatic ecosystems safeguarding human health by securing a safe sustainable water security plan. Mapping groundwater vulnerability to pollution represents topical area research where traditional models suffer from inherent prejudices. A novel approach identify vulnerable zones is thus presented in this study combining Fuzzy Shannon Entropy (FSE) with decision support algorithm replace DRASTIC, GOD other related methods. We proposed contemporary “FSE-GVI″ framework assessing aquifer vulnerability, which the first time expands redesigns seven original geological hydrogeological parameters geochemical factors. Applying such technique weights 13 geo-environmental factors (slope, soil, pH, recharge), (land use land cover, population density, based schemes irrigation) has been optimized. The computed map categorized into very high (10.82%), (23.20%), moderate (29.29%), low (25.02%) (11.64%).The river basin rated on scale excellent, good, poor, poor unfit consumption. model compared 74 quality data, findings demonstrate an excellent correlation between index (r = 0.84), Total dissolve solids (70%), iron (72%), hardness (85%) alkalinity levels (75%).The reveals 27.3 % sampling sites (villages) under 23.21% zone requires competent planning, development, managerial safeguard resources.