SENSOR² (Supporting Early-warning systems and Nature-based Solutions using Opportunistic Rainfall monitoring in Rwanda)

Date
September 2024 to August 2029
Countries
Keywords
rainfall
monitoring techniques
mobile phone network
rainfall data
Institutions
INES Ruhengeri - Institute of Applied Sciences (Rwanda)
Research fields
Earth and Environmental Sciences

Flash floods and landslides in Rwanda claimed 135 lives and cost €400 million between 2nd and 3rd May 2023 alone. A lack of accurate and sufficient rainfall data hampers the ability to issue timely warnings and prevent these increasingly frequent disasters. SENSOR² will establish a multi-stakeholder, multi-institutional partnership to introduce an innovative and cost-effective rainfall monitoring system using mobile phone network antennas. These unprecedented, nationwide rainfall data will be integrated in updated, accessible early warning systems and will be used to support research on nature-based prevention measures in the rapidly expanding city of Musanze. SENSOR² will bring together academia, government bodies and the private sector to design targeted solutions towards the most vulnerable communities in rural and urban areas of Rwanda. The project will support 3 “sandwich-style” Ph.D. candidates, hired from Meteo Rwanda, University of Rwanda-College of Agriculture Animal Sciences and Veterinary Medicine – UR-CAVM and the Institute for Applied Science – INES Ruhengeri.