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Global

Strengthening Urban Safety through Flood Forecast and Early Warning System in Ibadan

Overview

RMSI played a significant role in improving flood resilience in Ibadan, Nigeria. The aim was to develop a consistent flood early warning and response system to protect livelihoods, infrastructure, and resources. The duration of the assignment was 30 months and it focused on strengthening community preparation and incorporating real-time forecasting with federal-level disaster response frameworks.

The Challenge

Ibadan has faced recurring flooding intensified by rapid urbanization, inadequate drainage, and unpredictable weather patterns. The Eleyele Dam and Ona River Basin posed additional hydrological challenges, with limited forecasting infrastructure and data availability. The city lacked a robust early warning mechanism, leaving communities vulnerable to sudden inundation. The need for an integrated and localized flood forecasting system, in line with national frameworks such as NISHA, NIMET, and NEMA, was critical to enhancing disaster resilience.

The Solution

RMSI delivered a tailored solution that merged global expertise with local insights. The project included:

    • Network Design and Installation: Developed meteorological and hydrological observational networks across Ibadan Metropolis and the Eleyele Dam basin.
    • Advanced Forecasting Systems: Implemented a Limited Area Model (LAM) for short-term rainfall forecasting, assimilating satellite and ground-based precipitation data.
    • Integrated Modelling Tools: Installed hydrological and hydraulic models, including 1D/2D flood simulation tools, to assess real-time flood risks.

Tech Stack

The Impact

Established a fully automated flood warning system with alarm triggers based on observed and forecast water levels. It Created a GIS-based platform to visualize inundation zones and associated impacts for better response planning. Eventually, delivered training programs for operational staff and trainers, ensuring sustainability of the system through local capacity enhancement.

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