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.
This study developed and trialled new surface water flood (SWF) forecast products in a flood incident workshop and makes recommendations for the application of future forecast information and processes.
Analysis of local authority areas where different types of tree planting (floodplain, riparian, wider catchment) could help reduce flood risk
MSc project poster – Anthony Royffe appraised the benefits of rewilding as a landscape-scale land management approach for upland and lowland areas of England.
MSc project poster – Emma Brook investigated the feasibility of community scale renewable energy for the Malhamdale community in North Yorkshire.
MSc project poster – Alice Dear investigated where the construction industry (particularly flood risk management) can reduce single-use plastic (SUP) consumption and improve waste management sustainability
Research outputs from a PhD to investigate the resilience of natural flood management (NFM) systems.
A summary of the PhD research carried out by Tom Padgett into how weirs, fish passes and hydro-electric plants can best be configured to avoid disruption to eel and fish migration.
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.
