Water research at Bristol. Professor Paul Bates, School of Geographical Sciences. ~25 academic staff in 12 Departments from 5 Faculties engaged in water research
Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.
Professor Paul Bates, School of Geographical Sciences
~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 WHOAQUATEST
M of water sources in developing countries.anagement 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 BankMoSSaiC
An EWB-Bristol project of water sources in developing countries.
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 reductionHavana Water Project
2D of water sources in developing countries.flood inundation model developed at Bristol
Predicts dynamic flooding along river valley, estuaries and coasts
Scales ranging from urban areas to major continental riversLISFLOOD-FP
Carlisle case study – 10m model resolution of 1m, using a statistically active contour (Snake).
Performance measures: Inundation correctly predicted = 90%, rmse elevation = 0.32 m
Study area resolution of 1m, using a statistically active contour (Snake).LISFLOOD-FP Amazon
Low water, resolution of 1m, using a statistically active contour (Snake).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.