Professor Stuart McLelland S.J.McLelland@hull.ac.uk
Deputy Director of the Energy and Environment Institute
EVOFLOOD: The Evolution of Global Flood Hazard and Risk
People Involved
Project Description
This project will deliver new models and quantitative understanding of how the world’s largest rivers and floodplains function, and how they respond to natural and anthropogenic-driven disturbances over timescales of years to centuries. Our objectives are to: (i) deliver new datasets, understanding and model representations of key processes that control river and floodplain functioning, including interactions between vegetation and morphodynamics; (ii) integrate these process representations in models of river-floodplain functioning, using modelling frameworks across varying scales; (iii) apply the resulting models to address unresolved questions concerning responses of large rivers to natural and anthropogenic sediment supply perturbations and eco(vegetation)-morphodynamic controls on future changes in flood risk; (iv) extend the modelling framework to embrace fundamental questions facing the scientific community.
| Type of Project | Standard |
|---|---|
| Project Acronym | EVOFLOOD |
| Status | Project Live |
| Funder(s) | Natural Environment Research Council |
| Value | £530,236.00 |
| Project Dates | May 1, 2021 - Apr 30, 2026 |
| Partner Organisations | Global Flood Partnership National Oceanic and Atmospheric Administration Academy of Social Sciences European Centre for Medium-Range Weather Forecasts East China Normal University Guy Carpenter & Co Ltd Insurance Development Forum Jacobs Consultancy UK Ltd Office for National Statistics Start Network Ove Arup Foundation Cardiff University Environment Agency HR Wallingford Ministry of Water Resources and Meteorology NERC British Antartic Survey Centre for Ecology & Hydrology (NERC) Université du Littoral Côte d'Opale Newcastle University Royal Geographical Society University of Colorado University of Glasgow University of Leeds VRIJE Universiteit Amsterdam Oasis Loss Modelling Framework University of Illinois Urbana-Champaign United States Geological Survey |
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