Evidence map›Paper›PMID 41957264›Full record

ArticleScientific reports2026

Rising urban flood risk and exposure under shared socioeconomic pathways in Greater Accra Ghana.

Ebenezer K Siabi, Amos T Kabo-Bah, Komlavi Akpoti, Geophrey K Anornu, Eric M Mortey, Edward A Awafo, Nana S A Derkyi, Eric Antwi Ofosu, Mashael Yazdanie

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Ebenezer K SiabiEarth Observation Research and Innovation Center (EORIC), University of Energy and Natural Resources, P.O. Box 214, Sunyani, Ghana. ebenezer.siabi@uenr.edu.gh.
Amos T Kabo-BahDepartment of Civil and Environmental Engineering, University of Energy and Natural Resources, P. O. Box 214, Sunyani, Ghana.
Komlavi AkpotiInternational Water Management Institute (IWMI), Accra, Ghana.
Geophrey K AnornuDepartment of Civil Engineering, College of Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Eric M MorteyEarth Observation Research and Innovation Center (EORIC), University of Energy and Natural Resources, P.O. Box 214, Sunyani, Ghana.
Edward A AwafoDepartment of Agricultural and Bioresources Engineering, University of Energy and Natural Resources, P. O. Box 214, Sunyani, Ghana.
Nana S A DerkyiDepartment of Renewable Energy Engineering, University of Energy and Natural Resources, P. O. Box 214, Sunyani, Ghana.
Eric Antwi OfosuRegional Center for Energy and Environmental Sustainability, University of Energy and Natural Resources, P. O. Box 214, Sunyani, Ghana.
Mashael YazdanieUrban Energy Systems Laboratory, Empa, Swiss Federal Laboratories for Materials Science and Technology, Überlandstrasse 129, Dübendorf, 8600, Switzerland.

Funding

Swiss National Science Foundation (SNF) IZSTZ0_193649
6 · The paper itself

Abstract

This study assesses flood susceptibility in the Greater Accra Region of Ghana, one of West Africa’s most flood-prone areas by employing the Frequency Ratio (FR) model. The analysis integrates a range of environmental and meteorological variables alongside non-meteorological factors in the susceptibility mapping. The model yielded an Area Under the Curve (AUC) score of 0.82, indicating reliable flood susceptibility predictions. Various factors such as elevation, slope, geology, distance from urban, and stream power index significantly influence flood susceptibility. The spatial distribution of baseline susceptibility zones reveals coastal and northeastern areas as highly susceptible. Projections under different Shared Socioeconomic Pathway (SSP) scenarios depict a dynamic susceptibility landscape, emphasizing shifts in susceptibility levels. Notably, SSP2 and SSP3 foresee an increase in high and very high susceptibility zones. For district and town-level dynamics, districts like Weija Gbawe and towns along the coastline consistently exhibit very high susceptibility. The spatial distribution of building footprints shows a notable concentration within high and very high flood susceptibility zones, highlighting significant exposure risks to both the population and critical infrastructure. For example, over 780,000 and 810,000 building footprints, representing 3.12 million and 3.24 million people, are projected to experience high flood susceptibility under SSP2 and SSP3, respectively. This comprehensive assessment provides critical insights for flood management decisions in cities, emphasizing the importance of considering various factors in understanding and mitigating flood risks in West Africa and globally.

Indexed as

FloodsGhanaHumansSocioeconomic FactorsClimate changeFlood susceptibilityFrequency ratioGeospatial mappingSSPsSustainable cities

Identifiers

PMID41957264
PMCPMC13199498

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.