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| 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 |
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.
Cranfield University
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