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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.


Lead researcher

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

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Other researchers

Doctor Julian Leyland

Associate Professor

Research interests

  • Fluvial and Intertidal Geomorphology
  • Remote Environmental Sensing

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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.

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Collaborating research institutes, centres and groups

Research outputs

J.L. Best,
Peter Ashmore,
, 2022 , Nature Sustainability , 5 (10) , 811--813
Type: letterEditorial
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