Details of Award
NERC Reference : NE/V00378X/1
PYRAMID: Platform for dYnamic, hyper-resolution, near-real time flood Risk AssessMent Integrating repurposed and novel Data sources
Grant Award
- Principal Investigator:
- Professor H Fowler, Newcastle University, Sch of Engineering
- Co-Investigator:
- Dr LS Hope, Newcastle University, Sch of Engineering
- Co-Investigator:
- Professor JP Mills, Newcastle University, Sch of Engineering
- Co-Investigator:
- Dr E Lewis, The University of Manchester, Engineering and Physical Sciences
- Co-Investigator:
- Dr W Xiao, Newcastle University, Sch of Engineering
- Co-Investigator:
- Dr C Walsh, Newcastle University, Sch of Engineering
- Grant held at:
- Newcastle University, Sch of Engineering
- Science Area:
- Atmospheric
- Freshwater
- Overall Classification:
- Unknown
- ENRIs:
- Environmental Risks and Hazards
- Global Change
- Science Topics:
- Water Engineering
- Regional & Extreme Weather
- Hydrological Processes
- Environmental Informatics
- Remote Sensing & Earth Obs.
- Abstract:
- Flooding has been identified by the government as the number one priority and risk to the UK. Flooding already causes millions of pounds worth of damage to people's homes, infrastructure and the economy every year, and is projected to become even more severe under climate change. Being able to plan for, respond to and manage flooding effectively is therefore essential. We are lucky to have a tradition of flood management in the UK led by the Environment Agency. Operational flood models use meteorological data combined with elevation data to show us where flooding will occur. These models produce flood risk maps for planning and forecasting purposes and have helped us design flood defences for many areas. However, flooding is not only dependent on the topography of an area. There are many other factors at play that evolve over time: culverts can get blocked, flood gates are left open and flood walls can fall into disrepair. This can dramatically alter the extent and depth of a flood. Not only that, but our exposure to flood risk changes too. Far less disruption occurs from a flood overnight than during rush hour traffic. A prime example of this is the flooding of Boscastle in 2004. During the event, 116 cars parked in a carpark were washed downstream, blocking a bridge, causing water to back up and flood unexpected areas. If the rain had fallen in the evening, the cars would not have been in the carpark and the impact of the flood would have been smaller. Could we have predicted this? Can we reduce the impact of flooding for similar future events? We think that with the right data and tools, we can. We will build a tool that will change how we respond to flood risks as they evolve. The tool will allow flood risk managers to deploy just-in-time maintenance and alleviation measures, such as clearing critical blocked culverts or setting up mobile flood defences. To achieve this, the tool will incorporate brand new types of data and cutting edge flood models into an easy-to-use online platform that allows users to visualise evolving flood risks. The platform (called PYRAMID) will be developed in conjunction with the Environment Agency, local authorities and community groups to ensure that it delivers relevant information for critical decision-making in near-real time. The platform will have toolkits to make it easy for communities to incorporate their data, providing essential local information. The new data driving this modelling will be key. The data that we need are available but sit fragmented across a range of organisations in difficult-to-use formats. We will use artificial intelligence to extract this useful information from hidden datasets, such as old reports, flood asset registers and various types of satellite imagery. In addition, we want to incorporate brand new information from novel sensors that are being deployed as part of Newcastle University's Urban Observatory. These sensors monitor things like soil moisture and rainfall at very high resolutions, as well as other factors like traffic and congestion. We can also monitor the condition of specific factors affecting flood risk, such as whether particular culverts are blocked or whether certain flood walls are in poor condition. These factors can be monitored by looking at a combination of satellite remote sensing and sensors deployed on lorries and other vehicles. We will also harness data collected communities and citizens. All of this information will be put into our flood models. We have a hyper-resolution hydrodynamic flood model that can accurately simulate the movement of debris in flood flows at a centimetre scale. This model will work in conjunction with a broader catchment model, which will provide information on the hydrological conditions in the wider area. The platform will be trialled in Newcastle to take advantage of existing government investments in the Urban Observatory and a legacy of flood research conducted here.
- Period of Award:
- 14 Aug 2020 - 13 Aug 2023
- Value:
- £792,200 Lead Split Award
Authorised funds only
- NERC Reference:
- NE/V00378X/1
- Grant Stage:
- Completed
- Scheme:
- Innovation (R)
- Grant Status:
- Closed
- Programme:
- Digital Environment
This grant award has a total value of £792,200
FDAB - Financial Details (Award breakdown by headings)
| DI - Other Costs | Indirect - Indirect Costs | DA - Investigators | DI - Staff | DA - Estate Costs | DA - Other Directly Allocated | DI - T&S |
|---|---|---|---|---|---|---|
| £8,097 | £341,653 | £49,104 | £291,383 | £77,841 | £11,024 | £13,097 |
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