Skip to main content

Fountains and rain: Improved nowcasting techniques to help heritage landscapes adapt to changing rainfall patterns

Academic lead
Dr Gareth Keevil, School of Earth and Environment, g.m.keevil@leeds.ac.uk
Co-supervisor(s)
Prof Cathryn Birch, School of Earth and Environment, c.e.birch@leeds.ac.uk , Prof Jonathan Carrivick, School of Geography, j.l.carrivick@leeds.ac.uk , Prof Dave Hodgson, School of Earth and Environment, d.hodgson@leeds.ac.uk
Project themes
Climate & Weather, Computational & Analytical Tools, Environmental Flows

Moving from forecasting to nowcasting flood events to reduce risks requires technique innovations to prioritise decision-making. This studentship aims to develop, test, and validate a novel large-scale particle imaging velocimetry (LSPIV) techniques to collect real-time data on surface water velocity and water level during flood events. These data will be combined with real-time level monitoring and turbidity data to provide nowcasts to non-specialists (e.g. Heritage organisations and landowners), supporting risk management authorities in their responses to river and flash flooding at sensitive heritage sites that are prone to flooding and damage. This modelling will use machine learning methodologies to develop catchment specific outcomes and develop a workflow that can be deployed at a range of scales and locations.