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
In this podcast, Professor Rob Lamb explores how digital technologies can support 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.
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.
Analysis of local authority areas where different types of tree planting (floodplain, riparian, wider catchment) could help reduce flood risk
This report aims to help identify the data and modelling needs, and the robustness of evidence, for developing Natural Flood Management strategies in the Skell catchment to reduce flood and sediment risks.
This page hosts a database listing flash flood events in the UK derived from historical reports dating back over more than 200 years.
Zora van Leeuwen presented her poster “A Method for Assessing the Resilience of Leaky Dam Networks” online at the 21st River Restoration Centre conference.
New paper reports a probabilistic analysis of the risk to the British railway network from scour at bridges.
Many important decisions about planning for flooding rely on statistical assessments of risk. This one-day workshop enabled communication and discussion between academics and practitioners on the technical, practical, scientific and risk management implications of applying non-stationary statistical models to flood event data