A multi-criteria approach to fluvial flood vulnerability assessment: A case study of lower Manya Krobo municipality
Fluvial flooding predominantly occurs in areas near large water bodies. This study utilized an integrated approach combining Geographic Information System (GIS), Remote Sensing and the Analytic Hierarchy Process (AHP) to assess fluvial flood vulnerability in the Lower Manya Krobo Municipality, Ghana...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2026-01-01
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| Series: | Water Cycle |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666445325000273 |
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| author | Aaron Tettey Tetteh Serah Kahuri Lily Lisa Yevugah Abdul-Wadood Moomen Paul Adjei Kwakwa Issaka Yakubu |
| author_facet | Aaron Tettey Tetteh Serah Kahuri Lily Lisa Yevugah Abdul-Wadood Moomen Paul Adjei Kwakwa Issaka Yakubu |
| author_sort | Aaron Tettey Tetteh |
| collection | DOAJ |
| description | Fluvial flooding predominantly occurs in areas near large water bodies. This study utilized an integrated approach combining Geographic Information System (GIS), Remote Sensing and the Analytic Hierarchy Process (AHP) to assess fluvial flood vulnerability in the Lower Manya Krobo Municipality, Ghana. Ten causative factors of flooding were derived from remotely sensed data and weighted using AHP. The model revealed that 9.19% of the municipality is in a very high-risk zone, and 26.76% is in a high-risk zone, with slope and elevation identified as the primary contributors to flooding. Notable towns and landmarks within the very high- and high-risk zones include parts of Kpong and Akuse, along with Obele M.A. Primary School, Modern Senior High School, and Presby and New Covenant Apostolic Churches. These findings highlight vulnerable areas and provide valuable data for disaster management agencies, such as the National Disaster Management Organization and the Volta River Authority, to enhance flood preparedness and mitigation efforts in the region. |
| format | Article |
| id | doaj-art-4d279eff576d44e785a8cd5dd55c7d59 |
| institution | Kabale University |
| issn | 2666-4453 |
| language | English |
| publishDate | 2026-01-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Water Cycle |
| spelling | doaj-art-4d279eff576d44e785a8cd5dd55c7d592025-08-20T03:37:07ZengKeAi Communications Co., Ltd.Water Cycle2666-44532026-01-017688210.1016/j.watcyc.2025.06.001A multi-criteria approach to fluvial flood vulnerability assessment: A case study of lower Manya Krobo municipalityAaron Tettey Tetteh0Serah Kahuri1Lily Lisa Yevugah2Abdul-Wadood Moomen3Paul Adjei Kwakwa4Issaka Yakubu5School of Mines and Built Environment, University of Energy & Natural Resources, Sunyani, Ghana; Corresponding author.School of Mines and Built Environment, University of Energy & Natural Resources, Sunyani, GhanaDepartment of Geospatial Sciences, School of Geosciences, University of Energy & Natural Resources, GhanaSchool of Mines and Built Environment, University of Energy & Natural Resources, Sunyani, GhanaDepartment of Entrepreneurship & Business Sciences, School of Arts and Social Sciences, University of Energy & Natural Resources, Sunyani, GhanaDepartment of Geomatic Engineering, University of Mines & Technology, Tarkwa, GhanaFluvial flooding predominantly occurs in areas near large water bodies. This study utilized an integrated approach combining Geographic Information System (GIS), Remote Sensing and the Analytic Hierarchy Process (AHP) to assess fluvial flood vulnerability in the Lower Manya Krobo Municipality, Ghana. Ten causative factors of flooding were derived from remotely sensed data and weighted using AHP. The model revealed that 9.19% of the municipality is in a very high-risk zone, and 26.76% is in a high-risk zone, with slope and elevation identified as the primary contributors to flooding. Notable towns and landmarks within the very high- and high-risk zones include parts of Kpong and Akuse, along with Obele M.A. Primary School, Modern Senior High School, and Presby and New Covenant Apostolic Churches. These findings highlight vulnerable areas and provide valuable data for disaster management agencies, such as the National Disaster Management Organization and the Volta River Authority, to enhance flood preparedness and mitigation efforts in the region.http://www.sciencedirect.com/science/article/pii/S2666445325000273Kpong damRemote sensingSpatial analysisDisaster managementAnalytic hierarchy process |
| spellingShingle | Aaron Tettey Tetteh Serah Kahuri Lily Lisa Yevugah Abdul-Wadood Moomen Paul Adjei Kwakwa Issaka Yakubu A multi-criteria approach to fluvial flood vulnerability assessment: A case study of lower Manya Krobo municipality Water Cycle Kpong dam Remote sensing Spatial analysis Disaster management Analytic hierarchy process |
| title | A multi-criteria approach to fluvial flood vulnerability assessment: A case study of lower Manya Krobo municipality |
| title_full | A multi-criteria approach to fluvial flood vulnerability assessment: A case study of lower Manya Krobo municipality |
| title_fullStr | A multi-criteria approach to fluvial flood vulnerability assessment: A case study of lower Manya Krobo municipality |
| title_full_unstemmed | A multi-criteria approach to fluvial flood vulnerability assessment: A case study of lower Manya Krobo municipality |
| title_short | A multi-criteria approach to fluvial flood vulnerability assessment: A case study of lower Manya Krobo municipality |
| title_sort | multi criteria approach to fluvial flood vulnerability assessment a case study of lower manya krobo municipality |
| topic | Kpong dam Remote sensing Spatial analysis Disaster management Analytic hierarchy process |
| url | http://www.sciencedirect.com/science/article/pii/S2666445325000273 |
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