Identification of flood vulnerability areas using analytical hierarchy process techniques in the Wuseta watershed, Upper Blue Nile Basin, Ethiopia.

Arega Mulu, Samuel Berihun Kassa, Mindesilew Lakew Wossene, Sintayehu Adefris, Taye Minchil Meshesha

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 citing paper in PubMed.

Flood susceptibility assessment using three machine learning techniques and comparison of their performance.Scientific reports · 2026
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5 authors.

Arega MuluDepartment of Hydraulic and Water Resources Engineering, College of Engineering and Technology, Injibara University, P.O. Box: 40, Injibara, Ethiopia. muluarega21@gmail.com.

Samuel Berihun KassaDepartment of Hydraulic and Water Resources Engineering, Debre Markos Institute of Technology, Debre Markos University, P.O. Box: 269, Debre Markos, Ethiopia.

Mindesilew Lakew WosseneDepartment of Hydraulic and Water Resources Engineering, Debre Markos Institute of Technology, Debre Markos University, P.O. Box: 269, Debre Markos, Ethiopia.

Sintayehu AdefrisDepartment of Hydraulic and Water Resources Engineering, Debre Markos Institute of Technology, Debre Markos University, P.O. Box: 269, Debre Markos, Ethiopia.

Taye Minchil MesheshaDepartment of Hydraulic and Water Resources Engineering, Debre Markos Institute of Technology, Debre Markos University, P.O. Box: 269, Debre Markos, Ethiopia.

Funding

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6 · The paper itself

Abstract

Flooding, caused by the excessive accumulation of water on land, disrupts activities in floodplain regions, particularly during the rainy season. The main objective is to map Flood vulnerability areas and identify regions most vulnerable to flooding to inform effective flood management strategies using an integrated approach that combines remote sensing, geographic information systems (GIS), and the analytical hierarchy process (AHP) to assess Flood vulnerability in the Wuseta Watershed. The research was conducted in three phases: pre-fieldwork, fieldwork, and post-fieldwork. Key factors influencing Flood vulnerability such as drainage density, elevation, land use/land cover, and slope were hierarchically weighted to produce a Flood vulnerability map. Rainfall distribution was not considered as a contributing factor the Ethiopian Meteorological Agency has installed only one weather station in the study area, located in Wuseta watershed. As a result, the rainfall distribution is considered uniform throughout the watershed, making it unsuitable for flood susceptibility assessment. The Flood vulnerability map categorizes the watershed into five zones: very high (0.07 km

Indexed as

Analytical hierarchy processes techniquesGIS and remote sensingWuseta watershed and flood vulnerability

Identifiers

PMID40770249

DOI10.1038/s41598-025-13822-6

PMCPMC12328799

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