Abstract
Identifying Groundwater Potential Zones using scientific and modern techniques is crucial in effective and sustainable groundwater management and planning. In this paper, two Multi-Criteria Decision Making (MCDM) approaches, Analytical Hierarchy Process (AHP) and Multi Influencing Factor Analysis (MIF), have been used to demarcate the prospective groundwater regions in Bankura District. Eleven contextually significant regulating factors were selected, and after a careful literature review of their influencing ability weights have been assigned in both the model environment. Further, these two sets of weighted factors were integrated separately in the GIS platform to get the final Groundwater Potential Zonation map, which are represented through five potentiality classes - Very Low, Low, Medium, High, and Very High. Both the output maps are then normalized and it has been found that about 25% of the total district area has low to very low potentiality. Whereas 37% of the total area in AHP and 32% of the total area in MIF-based normalized map shows medium potentiality. Finally, the Receiver Operating Curve (ROC) and Area Under Curve (AUC) technique have been used to check the reliability of the two applied models and their suitability for the study region. The comparison is showing that the MIF method (AUC 0.879) is better reliable and more suitable than the AHP (AUC 0.767), specifically for Bankura District.
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