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    GROUNDWATER POTENTIAL MAPPING USING GIS AND REMOTE SENSING: A CASE STUDY IN WEYIB SUB-BASIN, GENALE-DAWA RIVER BASIN, SOUTHEAST ETHIOPIA
    (Hawassa University, 2021-08-12) ABDULGEFAR MUHIDIN MOHAMMED
    To fulfill the demand of a rapidly growing population in drought-prone areas with high rate of urbanization, identification and management of groundwater resources are required. In the Weyib Sub-basin, a search for an alternative source of water has been always a major issue. The current practice of groundwater potential zone (GWPZ) identification is time-consuming and uneconomical. Therefore, it is required to apply effective techniques for proper evaluation of groundwater resources. This study applied integration of GIS-Remote Sensing (RS) and Analytical Hierarchy Process (AHP) for mapping the GWPZ of Weyib Sub-basin, Southeast Ethiopia. For this purpose the physiographic, geology and climatic factors influencing GWPZ of the study area were characterized. The thematic maps of geomorphological landforms, lineament density, geology, rainfall distribution, drainage density, elevation, slope, LU/LC and soil texture were prepared. System for automated geoscientific analysis (SAGA) GIS, PCI Geomatics, Rockworks 16, IDRISI Selva and Surfer 17.1, were employed for landform classification, lineament extraction, rose diagram preparation, pairwise comparison of the factors and identification of groundwater flow direction, respectively. The AHP technique of Multi-criteria decision analysis (MCDA) was employed to determine the relative weight and influences of the thematic layers. Geomorphologic landform, lineament density, geology, and rainfall distribution were found to be the dominant factors sharing the highest weightage of 67%. A weighting overlay approach of GIS was utilized to overlay the thematic maps. The resulting GWPZ of the study area indicates five zones representing very high, high, moderate, poor and very poor GWPZ. The areal extent of very high and high GWPZ is 41 km2 and 2032 km2, respectively. Moderate, poor and very poor GWPZ covers 2088 km2, 252 km2 and 0.142 km2 areas. The particular direction of groundwater flow is towards the NE and SE, coinciding with the direction of surface water flow. It was controlled by NW-SE striking geologic structures. The delineated GWPZ map is verified by using the existing water point’s inventory data. It indicates a good prediction accuracy of 84%. Thus, the identification of GWPZ by using GIS and RS through AHP is reliable for conducting similar studies