Facilitating the application of citizen science in a flood resilience programme of Nepal

Generating actionable data and knowledge is crucial for vulnerable river basins where flood risk management is closely linked to improving local livelihoods and societal well-being. Lack of conventional hydro-meteorological monitoring constitutes a major challenge for real time prediction and its effective use in disaster risk management in flood prone river basins. A successful integration of citizen science could provide both robust and user-friendly hydrological instruments for local stakeholders to generate locally relevant data and knowledge for better decision-making.

The overall aim of this project was to facilitate citizen science based data and knowledge co-generation approaches to support flood risk management in poor and vulnerable environments. The team integrated the concept and technologies developed by the ESPA funded Mountain-Environmental Virtual Observatory (M-EVO) project in an operational flood forecasting and Early Warning System in the Karnali River Basin.

To achieve this, the project team collaborated with Practical Action, Nepal's Department of Hydrology and Meteorology, and relevant local stakeholders. The team designed and delivered a knowledge exchange and communication strategy to expand the approaches in other local development planning including a climate resilience programme of Nepal.   

Lead Principal Investigator
Organisation: Imperial College London
Country: United Kingdom