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The study aims to assess flood vulnerability in Lagos by integrating hydro-climatic drivers with community perceptions and sustainability metrics.

Integrating hydro-climatic drivers, flood frequency, and dynamic perception for sustainability assessment of flood vulnerability in Lagos, Nigeria

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Mixed-method study examines flood vulnerability in Lagos, highlighting adaptation needs for sustainability.

The study aims to assess flood vulnerability in Lagos by integrating hydro-climatic drivers with community perceptions and sustainability metrics.
Mixed-method approach incorporating hydro-climatic temporal analysis, geospatial rainfall mapping, and household perception surveys.
Data analysis covered a period from 1983 to 2023; household survey involved 397 respondents.
Binary logistic regression used to evaluate risk factors associated with flood vulnerability.
Significant correlation found between rainfall months and flood vulnerability, particularly affecting coastal and slum areas.
Logistic regression identified previous flood experience (β = 0.91, p < 0.01) and rainfall intensity (β = 0.68, p < 0.01) as major risk factors.
Dynamic Flood Sustainability Index indicated unsustainable long-term resilience with a value of 0.50.

Aniramu et al. (2026) studied this question.

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