FLUD : FLood monitoring and forecasting platform for Urban Deployment
Lead Participant:
COVENTRY UNIVERSITY
Abstract
Flood Ultracognitive Dendrite (FLUD) project builds upon state of the art research, and technologies in
computational intelligence and machine learning, to develop an urban flooding monitoring and forecasting
platform. By exploiting years of experience and specialized knowlegde of UK and Malaysian partners, in smart
city infrastructure and advanced data analytics, FLUD would be an innovative approach, able to minimize the
impact of flash floods by effectively monitoring and forecasting urban flooding, providing early warning,
supporting decision making, and enabling authorities to achieve better planning, monitoring, and response
times. This project presents an economically sustainable technical approach for a flooding alert system with
consideration to the accessibility of its service by all citizens regardless of age, race, literacy and social status.
The proposed approach will be tested in the context of a high risk area, and the final product will be a
benchmark framework, which can be utilized in smart city projects in Malaysia, the UK, and other countries
facing extreme urban flooding phenomena.
computational intelligence and machine learning, to develop an urban flooding monitoring and forecasting
platform. By exploiting years of experience and specialized knowlegde of UK and Malaysian partners, in smart
city infrastructure and advanced data analytics, FLUD would be an innovative approach, able to minimize the
impact of flash floods by effectively monitoring and forecasting urban flooding, providing early warning,
supporting decision making, and enabling authorities to achieve better planning, monitoring, and response
times. This project presents an economically sustainable technical approach for a flooding alert system with
consideration to the accessibility of its service by all citizens regardless of age, race, literacy and social status.
The proposed approach will be tested in the context of a high risk area, and the final product will be a
benchmark framework, which can be utilized in smart city projects in Malaysia, the UK, and other countries
facing extreme urban flooding phenomena.
Lead Participant | Project Cost | Grant Offer |
---|---|---|
COVENTRY UNIVERSITY | £91,698 | £ 91,698 |
  | ||
Participant |
||
INTERACTIVE COVENTRY LIMITED | £305,508 | £ 213,856 |
COVENTRY UNIVERSITY | ||
INNOVATE UK |
People |
ORCID iD |
Tomasz Maniak (Project Manager) |