Abstract
Groundwater resource is a crucial asset that makes a considerable contribution to the overall annual water resources toward industrial, domestic and agriculture purposes. However, overexploitation has resulted in severe reductions in groundwater supply. Evaluation of the possibility of groundwater recharge area is quite useful in order to conserve the groundwater resources. In this research, fourteen thematic maps (i.e., Lithology, Slope, Land use and Land cover, Drainage Density, Rainfall, Lineament Density, Distance from river, Hydrological Soil Group, Geomorphology, Topographic Wetness Index, Profile Curvature, Topographic Position Index, Plan Curvature and Roughness) undergo multicollinearity check followed by overlaying all of the thematic maps in ArcGIS software by considering ranks assigned to each thematic map using Analytical Hierarchy Process in order to develop the Groundwater potential zone map. The present research area was divided into four zones according to the Groundwater potential zone map, i.e., very high, high, moderate and low groundwater potential zone consisting of 22%, 45%, 26% and 7% of Jamsholaghat sub-basin, respectively. Most of the eastern part of the study area was found highly suitable for groundwater potential zones. This was due to favorable conditions such as lithology (laterite and quartz), geomorphology (flood plain/water bodies), slope (very gentle/gentle), high/moderate rainfall of the present research area. Nevertheless, the present study advises the adoption of sustainable aquifer recharge methods to enhance the groundwater resources of the deficit regions. These methods include rainwater harvesting and irrigation methods like micro as well as drip irrigation and sprinkler.
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The author contributed to the study conception, design, material preparation, data collection and analysis. The first draft of the manuscript was written by Dr. S. K. Ray. The author read and approved the final manuscript.
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Ray, S.K. Identifying the groundwater potential zones in Jamsholaghat sub-basin by considering GIS and multi-criteria decision analysis. Int. J. Environ. Sci. Technol. 21, 515–540 (2024). https://doi.org/10.1007/s13762-023-04923-8
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DOI: https://doi.org/10.1007/s13762-023-04923-8