UK Flood Hydrology Roadmap
The flood hydrology roadmap sets out a vision to help scientists and practitioners across the UK better predict future flood events and improve flood resilience across the UK.
Publications & Resources
Leaky barrier retention times for Natural Flood Management interventions
This tool provides a quick and accessible analysis that can support modelling of leaky barriers across different levels of detail, from simple site assessment through to intermediate or detailed models
Improving forecast flood maps using earth observation data
In this article, we explore the importance of earth observation (EO) data for identifying flood extents and how a new method for validating flood maps enables a quantitative, location specific measure of flood map accuracy
Flood hydrology for the next 25 years and beyond
A flood hydrology roadmap released in March 2022 sets out a vision to help scientists and practitioners better predict future flood events and improve flood resilience across the UK.
JBA Trust helped in shaping and peer reviewing the roadmap
Podcast: Rethinking flood risk data
In this podcast, Professor Rob Lamb explores how digital technologies can support flood risk management
Using a natural capital approach to assess the impact of rewilding on the provision of ecosystem services
MSc project poster – Luke Hussey assessed the impact of rewilding the Broughton Hall Estate using a natural capital approach.
Wetropolis: Flood Modelling on a Tabletop
A team project with the Fluid Dynamics CDT explores how flood management processes can be captured on a scale model
Estimating the parameters of ocean wave spectra
Understanding the characteristics of wind-generated waves is important for modelling structural responses in ocean engineering. This paper explores statistical techniques to improve the understanding of estimated parameters of wind-generated waves and help oceanographers gain insights into their behaviour.
A semantic approach to enable data integration for the domain of flood risk management
This paper explores how flood risk management can utilise the exponential increase in ‘big’data’ generated by a range of sources including satellites, mobile phones, ground-based sensors and citizen science. It proposes approaches to collate, integrate and query data from unstructured and disparate data sources.
A risk-based network analysis of distributed in-stream leaky barriers for flood risk management
This network model highlights the need for robust design of nature-based flood risk measures and allows rapid assessment of the whole-system performance of leaky barriers in real stream networks.
