Flood Susceptibility Mapping by Integrating GIS‐Based Approach and Analytical Hierarchy Process (AHP): Wolaita Zone, Ethiopia

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Бібліографічні деталі
Опубліковано в::Journal of Flood Risk Management vol. 18, no. 4 (Dec 1, 2025)
Автор: Fakana, Selemon Thomas
Інші автори: Falta, Fekadu Fanjana, Feleha, Debebe Dana
Опубліковано:
John Wiley & Sons, Inc.
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024 7 |a 10.1111/jfr3.70166  |2 doi 
035 |a 3284935522 
045 0 |b d20251201 
084 |a 164133  |2 nlm 
100 1 |a Fakana, Selemon Thomas  |u Department of Environmental Science, College of Agriculture and Natural Resources, Gambella University, Gambella, Ethiopia 
245 1 |a Flood Susceptibility Mapping by Integrating GIS‐Based Approach and Analytical Hierarchy Process (AHP): Wolaita Zone, Ethiopia 
260 |b John Wiley & Sons, Inc.  |c Dec 1, 2025 
513 |a Journal Article 
520 3 |a ABSTRACT Flooding is among the most devastating natural catastrophes affecting human life and property. Climate change and environmental degradation have exacerbated flooding disasters. Developing countries experience greater damage from flooding due to their low resilience, limited financial resources, weak early warning systems, and technological limitations. Accurate data, prediction, delineation of vulnerable areas, and formulation of local action plans can help minimize the extent of economic losses and fatalities due to flooding. In the current study area, limited data are available to lessen flood potential risks. Remote sensing and GIS approaches were adopted for mapping potential flood‐susceptible areas. Topographical, hydrological, and spectral indices conditioning factors were integrated, and a weighted overlay analysis was performed in ArcGIS. The results revealed that about 8.73%, 77.16%, and 14.08% of the study region are categorized as susceptible, moderately susceptible, and less susceptible to flooding, respectively. The findings would help government authorities and relevant bodies in developing early warning systems, advancing technology, creating local action plans, and formulating flood hazard mitigation and adaptation strategies. 
610 4 |a US Geological Survey 
651 4 |a Ethiopia 
653 |a Warning systems 
653 |a Developing countries 
653 |a Datasets 
653 |a Environmental degradation 
653 |a Flood damage 
653 |a Early warning systems 
653 |a Geographic information systems 
653 |a Topography 
653 |a Disasters 
653 |a Remote sensing 
653 |a Flood hazards 
653 |a Developing countries--LDCs 
653 |a Flooding 
653 |a Damage 
653 |a Mapping 
653 |a Climate change 
653 |a Fatalities 
653 |a Precipitation 
653 |a Emergency communications systems 
653 |a Hierarchies 
653 |a Floods 
653 |a Geographical information systems 
653 |a River networks 
653 |a Analytic hierarchy process 
653 |a Displaced persons 
653 |a Flood mapping 
653 |a Drainage 
653 |a Hydrology 
653 |a Economic impact 
653 |a Financial resources 
653 |a Machine learning 
653 |a Vegetation 
653 |a Hazard mitigation 
653 |a Land use 
653 |a Storm damage 
653 |a Environmental 
700 1 |a Falta, Fekadu Fanjana  |u Department of Natural Resources Management, College of Agriculture and Natural Resources, Wolaita Sodo University, Wolaita Sodo, Ethiopia 
700 1 |a Feleha, Debebe Dana  |u Department of Natural Resources Management, College of Agriculture and Natural Resources, Wolaita Sodo University, Wolaita Sodo, Ethiopia 
773 0 |t Journal of Flood Risk Management  |g vol. 18, no. 4 (Dec 1, 2025) 
786 0 |d ProQuest  |t Engineering Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3284935522/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/3284935522/fulltext/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3284935522/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch