Socio-Spatial Patterns of Flood Occurrence and Adaptation in the Tamale Metropolitan Area (TaMA), Ghana.
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University of Ghana
Abstract
This study examines the socio-spatial patterns of flood occurrence and adaptation in the Tamale
Metropolitan Area (TaMA) Ghana, focusing on differences among Kalariga (high-income),
Nalung (medium-income), and Koblimahagu (low-income). Guided by Urban Political
Ecology and Urban Resilience Theory, the research explores how income, spatial location, and
governance shape flood exposure, institutional support, and community adaptation. Using a
cross-sectional, exploratory sequential mixed-methods design, the study integrates geospatial
analysis, a household survey of 281 respondents, and qualitative interviews and focus group
discussions. The findings show that flooding is frequent across TaMA but disproportionately
affects low-income communities due to rapid urbanisation, inadequate drainage, and weak
enforcement of land-use regulations. Institutional adaptation is unevenly distributed, with high
income areas receiving more timely support, while fragmented coordination and overlapping
mandates limit effective flood management. Communities demonstrate varied coping
practices: high-income households employ preventive structural measures, whereas low
income groups rely on reactive, low-cost strategies that do little to reduce long-term
vulnerability. The study recommends strengthening drainage, green infrastructure, and waste
management through community–city partnerships; enhancing coordination and data sharing
via an open Flood Information Hub; and empowering women and youth groups as key actors
in preparedness and awareness. It further proposes the establishment of university-led Flood
and Waste Innovation Labs to support low-cost technological solutions and evidence-based
policy. Empirically, the research deepens understanding of how socioeconomic, climatic, and
human drivers interact to shape spatial vulnerability. Theoretically, it demonstrates the value
of integrating social and spatial analysis for equitable, resilience-oriented urban flood
governance aligned with SDG 11 and SDG 13.
Description
PhD. Geography and Resource Development
