Abstract
Groundwater resources have been under enormous strain due to over-exploitation and significant climate change. Due to its spatiotemporal diversity in distribution and occurrence, understanding the nature of these depleting resources is crucial for long-term adoption and development. A dry semi-arid climate prevails in this research area; farming is the most regular occupation, and they rely on groundwater due to a lack of surface water sources and erratic rainfall patterns. Therefore, an integrated approach of remote sensing, GIS and analytic hierarchical processes is used in the current research to help evaluate groundwater potential zones in the Boranakanive reservoir catchment. This analysis was carried out using twelve thematic layers, such as Lithology, Geomorphology, land use land cover, lineament density, drainage density, rainfall, groundwater level, soil, slope, curvature, Roughness Index, and Topographic Wetness Index. Each class is weighted in all thematic layers in accordance with its characteristics and water-holding capacity. Then, the groundwater potential index was prepared and added to the weighted-over analysis to generate the groundwater potential map. Finally, groundwater potential is categorized into five zones: very good (7.87%), good (28.81%), moderate (50.35%), poor (6.73%) and very poor (6.21%). The study results will enable future research and proposals for appropriate groundwater development planning and management.
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Rakesh, C.J., Govindaraju, Lokanath, S. et al. Geospatial and AHP technique in assessment of groundwater potential zones—a case study of Boranakanive reservoir catchment in India. Arab J Geosci 16, 664 (2023). https://doi.org/10.1007/s12517-023-11780-9
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DOI: https://doi.org/10.1007/s12517-023-11780-9