A multi-criteria approach to fluvial flood vulnerability assessment: A case study of lower Manya Krobo municipality

IF 8.7 Q1 Environmental Science

Water Cycle Pub Date : 2025-06-04 DOI:10.1016/j.watcyc.2025.06.001

Aaron Tettey Tetteh , Serah Kahuri , Lily Lisa Yevugah , Abdul-Wadood Moomen , Paul Adjei Kwakwa , Issaka Yakubu

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Abstract

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.

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河流洪水易损性评价的多标准方法：以马尼亚克罗博市为例

河流洪水主要发生在大型水体附近的地区。本研究利用地理信息系统（GIS）、遥感和层次分析法（AHP）相结合的综合方法，对加纳下马尼亚克罗沃市的河流洪水脆弱性进行了评估。从遥感数据中得到10个引起洪水的因素，并采用层次分析法进行加权。该模型显示，9.19%的城市处于非常高风险区，26.76%的城市处于高风险区，坡度和海拔被确定为洪水的主要诱因。在非常高和高风险区域内的著名城镇和地标包括Kpong和Akuse的部分地区，以及Obele ma小学，现代高中，Presby和新约使徒教会。这些调查结果突出了脆弱地区，并为国家灾害管理组织和沃尔特河管理局等灾害管理机构提供了宝贵的数据，以加强该地区的防洪和减灾工作。

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