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Completed STUDENTSHIP UKRI Gateway to Research

Intelligent dynamic flood response and recovery strategy


Funder Engineering and Physical Sciences Research Council
Recipient Organization Cranfield University
Country United Kingdom
Start Date Jan 18, 2021
End Date Feb 08, 2025
Duration 1,482 days
Number of Grantees 2
Roles Student; Supervisor
Data Source UKRI Gateway to Research
Grant ID 2585153
Grant Description

iD-FRe2S develops the combined use of Unmanned Aerial Vehicles (UAV) and Artificial Intelligence (AI) to better identify the impacts of flooding (fluvial, pluvial and sewer) and facilitate clean up and recovery.

Flood recovery response in urban areas depends on the type of flood (e.g., pluvial, fluvial, groundwater) and the type of water (i.e., clean, grey or black water) affecting the area.

In certain areas medium and high intensity rainfall events can cause combined clean and dirty water drainage systems to surcharge and cause contamination of river and flood waters.

In addition, high water levels in rivers can cause hydraulic locking of sewage treatment works causing a backup within the associated drainage systems again causing discharges of sewage contaminated water into streets and properties. This contaminated water poses significant risks to human health and requires intensive post event cleaning activities.

All Grantees

Cranfield University

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