FloodAI
Benefits
The AI models can learn intricate patterns and relationships from extensive datasets, enabling them to process more diverse and dynamic data inputs such as real-time sensor data and weather forecasts. This capability enhances flash flood identification in ways not achievable using traditional hydraulic methods. The technology is designed with transparency to help build confidence in the model's predictions, illustrating how different factors influence forecasts.
Details
- Tool name
- FloodAI
- Organisation
- Northumberland County Council
- Status
- pilot
- AI method (as recorded)
- Machine Learning
- AI method (normalised tags)
- Machine Learning
- Usecase
- Predictive Analytics
- Origin
- local.gov.uk
- Owning team
- Northumberland County Council (Project Manager), in partnership with Northumbria University, Arup, Isle Utilities, and the Environment Agency
- Date added
- 17 June 2025
- Scrape date
- 20/02/2026
- Source note
- Funding for the project is secured until 2027, and the council is currently investigating alternative funding models to ensure its continuation. The project involves extensive community engagement, with Arup co-creating flood warning messages with local stakeholders to incorporate valuable local knowledge into the prediction system. [Source]