Groundwater Potential Zone Mapping Using GIS and Remote Sensing: a Case of Teji River Catchment Southwest Shewa Zone, Ethiopia
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Date
2024-05
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Addis Ababa University
Abstract
This study identify the groundwater potential zones in the Teji River catchment by using cost-effective and timely remote sensing (RS) and geographic information systems (GIS). Eight thematic maps were employed as the basis for investigation. Primary and secondary data sources were used in this study. The data collected include information on soil texture, drainage density, land-use and land-cover, rainfall, lithology, slope, topographic wetness index, and lineament density. The Analytical hierarchy process (AHP) method in AHP extension used. Weight overlay analysis was utilized to evaluate the groundwater potential zone. According to Saaty’s scale of AHP, the weights for each element were assigned based on their significance in relation to groundwater potential. The results of the study indicated that out of total Teji River catchment area of 12.24% (6829.92 ha) has very good potential, 30.88% (17231.64 ha), has good potential, 36.05% (20115.89 ha) has moderate potential, and 20.8% (11611.98 ha) has poor groundwater potential. The study validated the results, indicating that groundwater potential zones can be more accurately identified using GIS and remote sensing approaches. The validation outcomes indicated that approximately 81.25% of the groundwater boreholes classifications aligned accurately with the zoning depicted on the generated groundwater potential map. Further validation utilizing the receiver operating characteristic (ROC) curve gave an AUC of 0.83. Similar methodologies are recommended for delineating groundwater potential zones in data-scarce and challenging terrains. Furthermore, the establishment of purposeful testing wells and field geophysical investigations in potential well-drilling locations is advised to enhance effective groundwater management possibilities.
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AHP, GIS, Groundwater Potential, Overlay Analysis, RS, Sentinel -2 Data