We undertake innovative research relating to Catchment-scale hydrology and flood risk management, interactions between vegetation and river flow, and transport of contaminants and groundwater.
Our recent RCUK grants awarded include:
- £210k from NERC for a project entitled "COMPACT: The role of soil management in Catchment Flood Risk, which will use novel field approaches of GPR and CT scanning to quantify local soil characteristics and the upscale using a hydrological model to assess potential for Natural Flood Management.
- EPSRC GCRF funding £1.4million for project entitled “EWIN: Flood Prediction using real time sensing Emergency Water Information Networks of mobile phone networks and WiFi, which aims to develop an Artificial Neural Network Flood Forecasting model, quantifying model representation and uncertainties using novel statistical approaches.
Our research on submerged vegetation-flow interactions uses CFD models to quantify turbulence and sediment transport, builds upon our work on turbulent flows and riparian vegetation induced drag for river flooding.
We use mathematical models to quantify processes of soil erosion, unsaturated flow through soils and contaminant movement through groundwater aquifers, focussing particularly on the non-linear nature of the diffusion-convection equations.
Reducing non-domestic waste water bills and lowering flood risk
Unique, accurate and cost effective.