Abstract
Groundwater is essential in many arid and semi-arid areas, providing for almost all human requirements. Thirty percent is groundwater and seventy percent is surface water on Earth. Every day, around 3 billion people depend on groundwater. 80–90% of the water used for residential use, 50% for urban and industrial use, and 50% for irrigation is supplied by groundwater. Since agriculture is the main business in many areas, more irrigation is required for growth. Determining groundwater zones is so essential. Even if they work well, traditional techniques like test drilling have drawbacks such as high prices, labour intensity, long processing times, and the necessity for trained personnel, especially in developing nations like India.
On the other hand, quick data patterns impacted by land use, drainage density, slope, flow direction, lineament density, rainfall, and pre- and post-monsoon aquifer data are provided by GIS-based detection, which supports geological studies. Using GIS and the Analytical Hierarchy Process (AHP), this research describes the groundwater potential in Latur, Maharashtra (latitude 18.4088 N, longitude 76.5604 E). Groundwater potential was calculated by coordinating several factors and weighing their relative relevance in themed maps created with ArcGIS software. The groundwater potential zone mapping and final comparison were made easier by the weighted overlay approach.
The groundwater potential zones in Latur can be reliably visualized thanks to the thematic maps created with GIS software. By analysing all of the geological data that is currently known about the Latur region, the weighted overlay approach provides an understanding of groundwater potential zones by assigning weights based on a thorough examination of literature from several sources. The region is categorized as poor (0.81%), moderate (36.14%), good (58.96%), and exceptional (4.0%) in the final result. In order to prioritize groundwater extraction and conservation and ensure water security in the area, this map is essential.