Water research at bristol
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Water research at Bristol. Professor Paul Bates, School of Geographical Sciences. ~25 academic staff in 12 Departments from 5 Faculties engaged in water research

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Water research at Bristol

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Water research at bristol

Water research at Bristol

Professor Paul Bates, School of Geographical Sciences

Water at bristol

~25 academic staff in 12 Departments from 5 Faculties engaged in water research

Archaeology and Anthropology, Chemistry, Civil Engineering, Continuing Education, Earth Sciences, Engineering Management Group, Geographical Sciences, Law, Mathematics, Mechanical Engineering, Policy Studies, Social medicine

Engineers Without Borders is one of our largest student groups?

Strong commitment as an Institution to developing solutions to major societal problems related to water.

Water at Bristol


Aims to develop a low-cost test for microbial contamination of water sources in developing countries.

Major funding (to Stephen Gundry) from the EU and the Bill and Melinda Gates Foundation

Prompted the University to create a Water and Health Research Centre now recognised by the WHO



Management of Slope Stability in Communities

Development of cost effective protection against landslide risk for Caribbean communities

Funded by Organisation of East Caribbean States, USAID and the World Bank


Havana water project

An EWB-Bristol project

Aims to install leak control for water supply systems serving 5000 people in Havana, Cuba

Bristol alumni funded

Winner in the Mondialogo Engineering Awards 2005 for contributions to poverty reduction

Havana Water Project

Lisflood fp

2D flood inundation model developed at Bristol

Predicts dynamic flooding along river valley, estuaries and coasts

Scales ranging from urban areas to major continental rivers


Main interest flood modelling and risk

Main interest: flood modelling and risk

Enabling technology fusing lidar and map data

Enabling technology: fusing LiDAR and map data

Water research at bristol

  • Airborne Synthetic Aperture Radar classified at a spatial resolution of 1m, using a statistically active contour (Snake).

  • Can also use LiDAR data to help constrain retrieval of shorelines

Water research at bristol

Carlisle case study – 10m model

Performance measures: Inundation correctly predicted = 90%, rmse elevation = 0.32 m

Lisflood fp amazon

Study area


Water research at bristol

Low water, F= 23%

High water, F=73%

Comparison of model inundation extent with JERS-1 imagery

dark blue = areas inundated in both the JERS-1 image and the model prediction,

red and cyan = over- and under-prediction by model, respectively

black = uncertainty in the JERS-1 image.

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