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Details of Grant 

EPSRC Reference: EP/H015736/1
Title: Simplified Dual-Drainage Modelling for Flood Risk Assessment in Urban Areas
Principal Investigator: Savic, Professor D
Other Investigators:
Djordjevic, Professor S Keedwell, Professor E
Researcher Co-Investigators:
Professor AS Chen
Project Partners:
CH2M Hill (Halcrow) City of Bradford Met District Council Environment Agency (Grouped)
H R Wallingford Ltd Mouchel Parkman MWH UK Ltd
Northumbrian Water Group plc Richard Allitt Associates Ltd Thames Water Plc
Torbay Council UK Water Industry Research Ltd (UKWIR) United Utilities
Wallingford Software Yorkshire Water
Department: Engineering Computer Science and Maths
Organisation: University of Exeter
Scheme: Standard Research
Starts: 01 May 2010 Ends: 30 April 2013 Value (£): 424,862
EPSRC Research Topic Classifications:
Coastal & Waterway Engineering Water Engineering
EPSRC Industrial Sector Classifications:
Construction Environment
Water
Related Grants:
Panel History:
Panel DatePanel NameOutcome
09 Sep 2009 Process Environment and Sustainability (PES) Announced
Summary on Grant Application Form
Flooding is a major problem in the UK as recent high profile events in the summers of 2006 and 2007 have shown. In these events the damage to property and belongings ran into billions of pounds and a number of people were injured or lost their lives in these events. Therefore, predicting the location and severity of flooding is extremely important in preventing these losses. Current computer models for predicting flooding are highly accurate, but take a very long time to run even on the fastest computers. This project intends to use a technique known as cellular automata, a model based on the localised interactions of small cells, to simulate flooding in such a way that it will be possible to run complicated scenarios on a standard PC. The new approach will gain efficiency by making use of the fact that each cell can only 'see' the cells closest to it and the project will investigate the best ways of allowing each cell to communicate with its neighbours. The approach will be tested over a number of different flooding scenarios and compared with existing methodologies to demonstrate its accuracy and increased efficiency over standard methods.
Key Findings
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Potential use in non-academic contexts
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Impacts
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Summary
Date Materialised
Sectors submitted by the Researcher
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Project URL: http://emps.exeter.ac.uk/engineering/research/cws/research/flood-risk/caddies/
Further Information:  
Organisation Website: http://www.ex.ac.uk