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  Future flood risk assuming climate change uncertainties


   School of Energy, Geoscience, Infrastructure and Society

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  Dr L Beevers, Dr L Collet  No more applications being accepted  Funded PhD Project (UK Students Only)

About the Project

Floods are the most common and widely distributed natural risk, causing over £1 billion of damage per year in the UK as a result of recent events.

Climatic projections predict an increase in flood risk; it becomes urgent to assess climate change impact on extreme flows and flood extents, and evaluate uncertainties related to these projections. These uncertainties should reflect the range of possible futures and need to be embraced by the stakeholder community.

This work would be based on the newest UK climatic projections (UKCP18) to assess extreme peak flows across the UK and flood extent in case studies and quantify uncertainties related to these projections. This work would build on statistical and probabilistic approaches to analyse uncertainty and numerical modelling to assess flood risk. Advanced mathematical techniques inspired by the oil industry will need to be developed to reduce computing time in hydraulic modelling and perform Monte Carlo simulations. The PhD would seek to develop these ideas, investigate methods to assess climate change impact on flood hazard in an uncertainty framework, and consider communicating results to practitioners for flood risk assessment.

Funding Notes

This is a full scholarship, which will cover tuition fees and provide an annual stipend of £14,553 for the 42 month duration of the project. The scholarship is available to UK candidates.

EPSRC eligibility criteria apply so please view the EPSRC website (https://www.epsrc.ac.uk/skills/students/help/eligibility/) before applying to ensure you are eligible.

Applicants should have a first-class honours degree or a 2.1 honours degree plus Masters (or equivalent) in a relevant subject, e.g. Civil Engineering, Physical Geography, Climatology or other numerate discipline. The scholarship will be awarded by competitive merit, taking into account the academic ability of the applicant.