Research
Shaping resilience through collaborative research
Working collaboratively with colleagues, fellow industry academics, universities and non-profit organisations, we’re highlighting significant research papers, reports and technical guidance documents that are helping to shape the way we build resilience to climate change.
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Using micro-catchment experiments for multi-local scale modelling of nature-based solutions
- Contribution by:Hankin, B., Lamb, R.
- Publish date:26.10.2021
This research explores findings from the Q-natural flood management project in Cumbria. Co-developed with the Environment Agency, the project involved monitoring 18 micro-catchments to study the affect of nature-based solutions on the flow of water. This paper demonstrates an approach to applying donor-parameter-shifts obtained from modelling two of the paired micro-catchments to a much larger scale, in order to understand the potential for improved distributed modelling of nature-based solutions in the form of additional tree-planting.
- Tags: Catchment Management and Natural Flood Management Hydrology
- Published by:Hydrological Processes
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Sampling uncertainty of UK design flood estimation
- Contribution by:Hammond, A.
- Publish date:12.10.2021
Using resampling approaches adapted to the Flood Estimation Handbook methods, this paper quantifies the sampling uncertainty for single site, pooled (ungauged), enhanced single site (gauged pooling) and across catchment types.
- Tags: Hydrology
- Published by:Hydrology Research
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Review of groundwater flood risk management in England
- Contribution by:Wagstaff, S., McFadden, B., Ngai, R., Chorlton, K., Zaidman, M., Faulkner, D.
- Publish date:01.06.2021
JBA led this rapid evidence review, funded by the Environment Agency, to support the National Flood and Coastal Erosion Risk Management Strategy for England (2020) for England.
- Tags: Flood Resilience Hydrology
- Published by:Environment Agency
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Development of interim national guidance on non-stationary fluvial flood frequency estimation: science report and practitioner guidance
- Contribution by:Faulkner, D., Warren, S., Shelton, K.
- Publish date:26.02.2021
Through the development of practitioner guidance and software, as well as national-scale analysis of trends and non-stationarity, this JBA-led guidance highlights new tools and techniques to help detect and take account of non-stationarity in flood frequency estimation for flood scheme appraisal.
- Tags: Climate Resilience, Policy and Research Hydrology
- Published by:Environment Agency
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Rapid evidence assessment of non-stationarity in sources of UK flooding
- Contribution by:Faulkner, D., Luxford, F.
- Publish date:01.11.2020
JBA led this Environment Agency-funded evidence review, which is accompanied by another report giving recommendations for future research.
- Tags: Flood Resilience Hydrology
- Published by:Environment Agency
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Reservoir flood estimation: the way ahead
- Contribution by:Faulkner, D., Benn, J.
- Publish date:04.12.2019
This paper calls for a comprehensive update to hydrological procedures used for the design and assessment of dam spillways and led to a national research project which was completed in 2022.
- Tags: Asset Management Hydrology
- Published by:Dams and Reservoirs
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Can we still predict the future from the past? Implementing non-stationary flood frequency analysis in the UK
- Contribution by:Faulkner, D., Warren, S.
- Publish date:03.12.2019
This paper calls for the adoption of a new approach to flood frequency analysis when planning and designing defences. The publication of this guidance led to a national-scale project, completed in 2020.
- Tags: Flood Resilience Hydrology
- Published by:Journal of Flood Risk Management
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Modelling the clustering of extreme events for short-term risk assessment
- Contribution by:Lamb, R.
- Publish date:28.08.2019
This research addresses an important question: how much more likely are we to see another flood in the aftermath of a flood?
- Tags: Flood Resilience Hydrology
- Published by:Journal of Agricultural, Biological and Environmental Statistics
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