Dr Will Shepherd - Research Staff
Address: Room D106
Department of Civil & Structural Engineering
Sir Frederick Mappin Building
Telephone: +44 (0)1142225732
Fax: +44 (0)1142225700
email : email@example.com
Will became a Post-Doctoral Research Associate with the Pennine Water Group in 2003 following completion of his PhD entitled `Solute Mixing in CSO Structures´. Will’s research interests predominantly surround urban drainage and areas of expertise include:
- Monitoring and modelling of hydraulics and water quality in urban drainage systems and associated watercourses.
- Modelling of surface water flooding.
- Application of rainfall radar to urban drainage.
- Laboratory and field testing of CSOs and storage tanks.
- Solute tracing and analysis for determination of travel time and dispersion parameters.
- Application of GIS for visualisation and assessment of overland flow paths and flooding.
- Asset performance modelling.
QUICS - Quantifying Uncertainty in Integrated Catchment Studies is an EU funded FP7 Initial Training Network co-ordinated at Sheffield and being project managed by Will. The project involves 9 key partners across the EU where 12 PhD fellows and 4 Post-Docs will be assessing the uncertainty of integrated catchment model water quality predictions and providing guidance and tools for practitioners to take this into account when using these models.
CENTAUR - is a European Union Horizon 2020 (H2020) research and innovation project.
This project aims to provide an innovative, cost effective, local autonomous sewer flow control system, to reduce urban flood risk and thus fits within the requirements of the priority thematic area of flood management identified by the EIP on Water.
Will is managing the project on a day to day basis and taking an active role in developing and testing the Fuzzy Logic algorithms used to control flow.
Selection of Completed Projects
Cloud to Coast is a NERC funded project seeking to develop a new integrated model to predict the exposure to and the health impact assessment of pathogen risks, as indexed by Faecal Indicator Organisms (FIOs), in near-shore coastal waters. Will is responsible for investigating and modelling FIO inputs from the urban system.
CSO Analytics is funded by a UK Water Company and is applying Artificial Intelligence techniques to continuous water level and rainfall data to better understand the performance of combined sewer overflows in near real time and thus minimise unconsented discharges to water courses.
EU INTERREG IVB – FloodResilienCity. Involvement includes the development of methodologies to apply 1D-2D hydraulic models for the prediction of urban flood extents in two catchments, supervising a PDRA to run hydraulic models and process results, and liaison with Environment Agency to enable acceptance of enhanced flood outlines.
EU INTERREG IVB – SKINT. Use of LiDAR data and mapping within ArcMap to determine catchment areas draining to road gullies, researching road gully design, field study to assess gully performance and management options.
Contaminant Ingress in Distribution Systems. Laboratory and modelling study investigating the potential for ingress of pollutants into water distribution systems. Will carried out laboratory testing and analysed the resulting data, showing the effects of leak size on the dissipation of transients, assessing the significance of the media surrounding the pipe and helping to prove that ingress of contaminants is possible.
Yorkshire Water Strategic Catchments. Long term monitoring of two sewerage catchments to assess the extent of monitoring required to gain improvements in system performance.
DTi SAM. This project developed a Risk-Based procedure and tools to support Integrated Urban Drainage Design and Management. Will carried out the case study to test tools developed by other partners in the project.
Defra Integrated Urban Drainage Pilots Making Space for Water. Involved with modelling and interpretation of results for River Aire, West Garforth studies.
Performance Of Storm Tanks And Potential For Improvements In Overall Storm Management. Phases 1 and 2 – included literature review, review of current practice, alternative technologies, field and laboratory tracer testing and quality sampling, development of modelling tool to predict pollutant retention performance. Funded by UKWIR.
Cost-S – Whole Life Costing of Sewerage Systems. Project involved development of tools to assess current and future performance of sewerage systems within a cost accounting framework. Personal involvement included development of asset performance models for the prediction of blockage and collapse events. Funded by EPSRC and UK water companies.
SQS. Modular Sewer Quality Simulation software allowing rapid assessment of development options. Funded by Yorkshire Water.