What question did this study set out to answer?

To assess flooding risk and evaluate early warning system effectiveness in Mozambique's coastal regions.

March 15, 2026Open Access

GIS Mapping for Flooding Risk Assessment in Mozambique Coastal Regions: Development of Early Warning Systems and Preparedness Success Rates

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Multinomial logistic regression predicts community preparedness in Mozambique, highlighting significant resilience improvements.

To assess flooding risk and evaluate early warning system effectiveness in Mozambique's coastal regions.
Used remote sensing imagery and hydrological data to identify flood-prone zones.
Applied multinomial logistic regression to predict community readiness based on resources and infrastructure.
Conducted GIS mapping to calculate flooding probabilities, particularly along the Zambezi River.
Identified a 45% overall probability of flooding in coastal regions, with areas along the Zambezi River at over 60%.
Communities with access to early warning systems achieved preparedness success rates of 20-30%.
GIS mapping and early warning systems improved community resilience against flooding significantly.

Tchikoko et al. (2013) studied this question.

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