Water research at Bristol
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Transcript of 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.
AQUATEST• 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
MoSSaiC• 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
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
Enabling technology: fusing LiDAR and map data
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• 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
Carlisle case study – 10m modelPerformance measures:
Inundation correctly predicted = 90%, rmse elevation = 0.32 m
Study area
LISFLOOD-FP Amazon
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.
Low water, F= 23%
High water, F=73%