Multi‐Criteria Analysis for Effective Rain Water Harvesting Site Identification in Konso Zone, Ethiopia
Abstract The Konso area of southern Ethiopia has limited resources and is highly vulnerable to climate change. Traditional agriculture practices in this region are adversely affected by water scarcity. The purpose of this study is to determine the most effective site for rainwater harvesting (RWH) t...
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Wiley
2025-04-01
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| Series: | Global Challenges |
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| Online Access: | https://doi.org/10.1002/gch2.202400333 |
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| author | Fitsum Tsehay Bereded Yohannes Mehari Andiye Tarun Kumar Lohani |
| author_facet | Fitsum Tsehay Bereded Yohannes Mehari Andiye Tarun Kumar Lohani |
| author_sort | Fitsum Tsehay Bereded |
| collection | DOAJ |
| description | Abstract The Konso area of southern Ethiopia has limited resources and is highly vulnerable to climate change. Traditional agriculture practices in this region are adversely affected by water scarcity. The purpose of this study is to determine the most effective site for rainwater harvesting (RWH) through multi‐criteria analysis combined with Geographic Information Sysytem. The decision‐making criteria used in this study included rainfall, land cover, curve number, topographic wetness index, slope, distance from agriculture, lineament density, geology, and road and city distance. These criteria are categorized into five suitability levels based on their significance for rainwater harvesting using an analytical and hierarchical process (AHP). The study also mapped the restricted area, which includes the built‐up area and water accounting for ≈6% of the total area. The area with very high suitability for RWH is ≈658 km2, representing 28.3% of the total area. The suitability model is validated by cross‐checking existing RWH ponds with the appropriate map. It is found that most of the existing RWH ponds are located within high to moderately suitable zones, accounting for 92.6% of the total area. This research highlights the effectiveness of integrating MCA with GIS in identifying suitable RWH sites, especially in arid, semi‐arid, and data‐scarce areas. The weighted overlay process (WOP), available data, and methods are utilized to achieve this goal. |
| format | Article |
| id | doaj-art-3518a8e5f45b4ddeb26feb99dff6be81 |
| institution | OA Journals |
| issn | 2056-6646 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Wiley |
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| series | Global Challenges |
| spelling | doaj-art-3518a8e5f45b4ddeb26feb99dff6be812025-08-20T02:12:50ZengWileyGlobal Challenges2056-66462025-04-0194n/an/a10.1002/gch2.202400333Multi‐Criteria Analysis for Effective Rain Water Harvesting Site Identification in Konso Zone, EthiopiaFitsum Tsehay Bereded0Yohannes Mehari Andiye1Tarun Kumar Lohani2Faculty of Hydraulic and Water Resources EngineeringWater Technology InstituteArba Minch UniversityArba Minch P.O.Box 21 EthiopiaFaculty of Hydraulic and Water Resources EngineeringWater Technology InstituteArba Minch UniversityArba Minch P.O.Box 21 EthiopiaFaculty of Hydraulic and Water Resources EngineeringWater Technology InstituteArba Minch UniversityArba Minch P.O.Box 21 EthiopiaAbstract The Konso area of southern Ethiopia has limited resources and is highly vulnerable to climate change. Traditional agriculture practices in this region are adversely affected by water scarcity. The purpose of this study is to determine the most effective site for rainwater harvesting (RWH) through multi‐criteria analysis combined with Geographic Information Sysytem. The decision‐making criteria used in this study included rainfall, land cover, curve number, topographic wetness index, slope, distance from agriculture, lineament density, geology, and road and city distance. These criteria are categorized into five suitability levels based on their significance for rainwater harvesting using an analytical and hierarchical process (AHP). The study also mapped the restricted area, which includes the built‐up area and water accounting for ≈6% of the total area. The area with very high suitability for RWH is ≈658 km2, representing 28.3% of the total area. The suitability model is validated by cross‐checking existing RWH ponds with the appropriate map. It is found that most of the existing RWH ponds are located within high to moderately suitable zones, accounting for 92.6% of the total area. This research highlights the effectiveness of integrating MCA with GIS in identifying suitable RWH sites, especially in arid, semi‐arid, and data‐scarce areas. The weighted overlay process (WOP), available data, and methods are utilized to achieve this goal.https://doi.org/10.1002/gch2.202400333GISMCAmodel builderRWHWOP |
| spellingShingle | Fitsum Tsehay Bereded Yohannes Mehari Andiye Tarun Kumar Lohani Multi‐Criteria Analysis for Effective Rain Water Harvesting Site Identification in Konso Zone, Ethiopia Global Challenges GIS MCA model builder RWH WOP |
| title | Multi‐Criteria Analysis for Effective Rain Water Harvesting Site Identification in Konso Zone, Ethiopia |
| title_full | Multi‐Criteria Analysis for Effective Rain Water Harvesting Site Identification in Konso Zone, Ethiopia |
| title_fullStr | Multi‐Criteria Analysis for Effective Rain Water Harvesting Site Identification in Konso Zone, Ethiopia |
| title_full_unstemmed | Multi‐Criteria Analysis for Effective Rain Water Harvesting Site Identification in Konso Zone, Ethiopia |
| title_short | Multi‐Criteria Analysis for Effective Rain Water Harvesting Site Identification in Konso Zone, Ethiopia |
| title_sort | multi criteria analysis for effective rain water harvesting site identification in konso zone ethiopia |
| topic | GIS MCA model builder RWH WOP |
| url | https://doi.org/10.1002/gch2.202400333 |
| work_keys_str_mv | AT fitsumtsehaybereded multicriteriaanalysisforeffectiverainwaterharvestingsiteidentificationinkonsozoneethiopia AT yohannesmehariandiye multicriteriaanalysisforeffectiverainwaterharvestingsiteidentificationinkonsozoneethiopia AT tarunkumarlohani multicriteriaanalysisforeffectiverainwaterharvestingsiteidentificationinkonsozoneethiopia |