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Research project

The Evolution of Global Flood Hazard & Risk [EVOFLOOD]

Project overview

This NERC funded Large Grant 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.

Staff

Lead researchers

Professor Steve Darby

Associate Dean Research

Research interests

  • River and coastal flooding - relationships between geomorphology and flooding in rivers and deltas
  • Biogeomorphology - interactions between river processes and life
  • River bank erosion processes
Connect with Steve

Email: [email protected]

Other researchers

Professor Julian Leyland

Professor

Research interests

  • Fluvial and Intertidal Geomorphology
  • Remote Environmental Sensing
  • UAVs, USVs and Autonomy in Geoscience
Connect with Julian

Email: [email protected]

Professor Andrew Tatem

Personal Chair

Research interests

  • Developing approaches to map population distributions, demographics and dynamics through complementing traditional datasources (census, survey, registries) with new forms of geospatial data from e.g. satellite imagery and mobile devices.
  • Understanding the drivers of small area heterogeneities in population health and development in low and middle income settings.
  • The use of high resolution demographic and mobility data for improving understanding and modelling of pathogen dynamics.
Connect with Andrew

Email: [email protected]

Collaborating research institutes, centres and groups

Research outputs

A high-resolution daily global dataset of statistically downscaled CMIP6 models for climate impact analyses
Solomon Gebrechorkos, Julian Leyland, Louise Slater, Michel Wortmann, Philip J. Ashworth, Georgina L. Bennett, Richard Boothroyd, Hannah Cloke, Pauline Delorme, Helen Griffith, Richard J. Hardy, Laurence Hawker, S.J. McLelland, Jeffrey Neal, Andrew Nicholas, Andrew J. Tatem, Ellie Vahidi, Daniel R. Parsons & Stephen E. Darby, 2023, Scientific Data, 10(1)
DOI: 10.1038/s41597-023-02528-x
Type: article
Beyond just floodwater
J.L. Best, Peter Ashmore & Stephen Darby, 2022, Nature Sustainability, 5(10), 811-813
DOI: 10.1038/s41893-022-00929-1
Type: letterEditorial