Projects

1. Hydroclimatic Modeling of Lake Victoria – 2024

  • Client: European Union, MCA Funding.

 

  • Overview: Developed the Lake Victoria Integrated Water Balance Model (LaVIWaB) to simulate hydrological responses and flood risks under climate extremes.

 

  • Partnerships: WEC Nature – VUB – ICPAC.

 

  • Impact: Enhanced flood early warning for >40 million riparian residents; informed policy and adaptation planning.

2. Seasonal Drought Monitoring and Mapping in Kenya (2000–2024) – 2025

  • Client: NDMA Kenya

 

  • Overview: Combined satellite data (MODIS NDVI, CHIRPS, LISFLOOD) with Combined Drought Indicators to map drought dynamics and persistence.

 

  • Role: PI; data analysis and spatial mapping.

 

  • Impact: Supported early warning systems and climate resilience planning across drought-prone regions in Kenya.

3. Lake Tanganyika Basin Flood Risk Assessment – 2023.

  • Client: Lake Tanganyika Authority / Regional Governments.

 

  • Overview: Applied hydrological modeling and satellite imagery to quantify flood risks and forecast extreme events in the Lake Tanganyika Basin.

 

  • Partnerships: WEC Nature – Regional hydrological agencies.

 

  • Impact: Identified high-risk communities and supported regional early warning systems, improving disaster preparedness.

4. Integrated Wetlands Restoration and Conservation Program – Kenya – 2023.

  • Client: UNEP / National Wetlands Authority.

 

  • Overview: Designed and implemented wetland restoration strategies,
    combining hydrological modeling, biodiversity surveys, and community-based
    conservation practices.

 

  • Impact: Restored > 500 hectares of wetlands; enhanced ecosystem services, improved water quality, and supported local livelihoods.

5. Urban Flood Management and Early Warning System – Nairobi Pilot (new project).

  • Client: Nairobi City County / World Bank.

 

  • Overview: Developed urban flood risk models and community early warning tools for Nairobi’s flood-prone areas.

 

  • Impact: Reduced urban flood vulnerability by identifying hotspots and informing drainage management interventions.
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