Groundwater is essential for the sustainable growth of society, economy, and agriculture. Identifying potential zones for groundwater is required to fulfill the needs of various sectors. This study aims to identify prospective groundwater zones in the drought-prone Harawa catchment area of the Somali region of eastern Ethiopia using geospatial and analytical hierarchy process (AHP) approaches. Eight significant groundwater regulating vari-ables were developed by combining primary and remote sensing data, and AHP analysis was performed to identify groundwater prospect zones. The findings of the prospective groundwater zone model were categorized into four groups: very low, low, moderate, and high. Approximately 14.2% of the research area was recognized as having high potential, 24.0% as having moderate potential, and 38.7% and 23.2% as having very low and low potentials, respectively. Groundwater prospect maps were examined and confirmed using the discharge data from numerous production wells in the study region. The results demonstrated a strong correlation or agreement with the yield data. The curve approach was cross-validated with the area, revealing an 81.7% correlation be-tween the model findings and the water well points. The sensitivity analysis showed that lithology, land use/land cover, and rainfall significantly impacted groundwater occurrence. In contrast, the slope of the study region had little effect.
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Univ Tenaga Nas, Inst Energy Infrastructure, Kajang 43000, Malaysia
Al Ayen Univ, Sci Res Ctr, New Era & Dev Civil Engn Res Grp, Nasiriyah 64001, Thi Qar, IraqVidyasagar Univ, Dept Remote Sensing & GIS, Vidyasagar Univ Rd, Midnapore 721102, West Bengal, India
Pande, Chaitanya Baliram
Islam, Abu Reza Md. Towfiqul
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Begum Rokeya Univ, Dept Disaster Management, Rangpur 5400, Bangladesh
Daffodil Int Univ, Dept Dev Studies, Dhaka 1216, BangladeshVidyasagar Univ, Dept Remote Sensing & GIS, Vidyasagar Univ Rd, Midnapore 721102, West Bengal, India
Islam, Abu Reza Md. Towfiqul
Alam, Edris
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Rabdan Acad, Fac Resilience, Abu Dhabi 22401, U Arab Emirates
Univ Chittagong, Dept Geog & Environm Studies, Chittagong 4331, BangladeshVidyasagar Univ, Dept Remote Sensing & GIS, Vidyasagar Univ Rd, Midnapore 721102, West Bengal, India
Alam, Edris
Islam, Md Kamrul
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King Faisal Univ, Coll Engn, Dept Civil & Environm Engn, Al Hasa 31982, Saudi ArabiaVidyasagar Univ, Dept Remote Sensing & GIS, Vidyasagar Univ Rd, Midnapore 721102, West Bengal, India