Siddharth Sharma^1,, Sunil Ajmera¹

Locating prospective ground water reservoir zones is difficult, especially in arid places and hilly locations. In the twenty-first century, satellite remote sensing may hold new potential for locating surface and subsurface water resources in less time and at a lower cost. The current study was conducted to identify groundwater potential zones in drought-prone areas of the Damoh district of Madhya Pradesh, India. The hydrogeomorphology, lithology, slope, drainage density, lineaments density, land use/land cover, and soil surface factors were employed in this study, which was based on remote sensing and geographic information systems. Analytical Hierarchical Process (AHP) was used to assign weightages to the factors, and distinct classes within each parameter were prioritized according to their relative relevance for groundwater potentiality. The study classified several groundwater potential zones as Very-High, High, Medium, Low, and Very Low. Corresponding from Very Low to Very High the potential zones were found to be 1%, 20%, 34%, 43%, and 2%, of the study area respectively. As a result, the findings may be useful. It is possible to conclude that the current technique, which employs AHP with expanded parameterization, has a greater chance of accurately identifying and mapping of groundwater potential zones, and that it may be used to reduce drought risk in a broader region.

groundwater potential zone, analytic hierarchical process (AHP), GIS technique