Details of Grant 

EPSRC Reference:	EP/F030177/1
Title:	Adaptive mesh simulation of different scale flood inundation
Principal Investigator:	Liang, Professor Q
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Department:	Civil Engineering and Geosciences
Organisation:	Newcastle University
Scheme:	First Grant Scheme
Starts:	01 October 2008	Ends:	31 March 2012	Value (£):	247,430
EPSRC Research Topic Classifications:	Coastal & Waterway Engineering
EPSRC Industrial Sector Classifications:	Environment
Related Grants:
Panel History:	Panel Date Panel Name Outcome 22 Nov 2007 Engineering Science (Flow) Panel Announced
Summary on Grant Application Form
Flood disasters, including coastal flooding and river inundation are a major threat to human life and assets. In the UK, a combination of climate change and increasing socio-economic vulnerability mean that the risk of flooding is expected to increase significantly during the 21st century unless the current policies for flood management and investment levels can be modified.The Flood Risk Management Research Consortium (FRMRC) has been funded by EPSRC and other government departments and agencies to improve understanding of the cause of flooding and to develop tools for flood risk management. The development and assessment of flood simulation tools has been one of the consortium's research topics. This proposal extends the work in FRMRC by proposing to assess and improve a computer model of flood flows that can adapt to local topography and obstruction, efficiently generating accurate solution even where the flow is very complex. This will mean that, for the first time, very accurate simulation can be applied at a range of different scales (from small to very large), including broad scale interactions of flood flow. This proposed project is consistent with the FRMRC research aims, yet is original in that this is the first time the adaptive model will be applied to simulate large-scale real world flood scenarios. The model will take advantages of modern numerical techniques including adaptive mesh methodologies for efficiency and accuracy, a local time step approach for efficiency, a simplified diffusion wave method for efficiency, and fully 2D shallow flow solution for accuracy. It will result in a robust, efficient and accurate numerical tool for flood simulation at different scales for a wide range of applications. Particularly, the model will allow simulation of very large scale flood inundation (e.g. the whole Thames Estuary area) whilst also resolving the effect of local flows at flood defences. This task is currently beyond most of the existing numerical tools as the scale of the floodplain is very large and the topographic features are complicated, including urban structures.The proposed project, involving further developing an existing adaptive quadtree grid based shallow flow model for flood simulation in different scales by including some model numerical techniques, will be completed in 3 years. The first two years of the project will focus on further developing and accessing the computer model. Problems related to scale effects, accuracy of approximations, etc. will be properly addressed. The efficiency, accuracy and robustness of the model will be confirmed by comparing with existing computer models for flood simulation recommended by FRMRC. In the last year, the improved computer model will be applied to predict future flood inundation scenarios in the whole Thames Estuary area due to extreme tidal conditions with different return periods, including broad scale interaction of flooding waves.The computer model resulted from this project can be used by engineers and researchers to predict flood risk in different situations and provide a reliable basis for improved flood risk assessment. Therefore this research will directly benefit engineering consultants and insurance business involving assessment and management of flood risk. The Environment Agency and local authorities will benefit in that larger scale flood simulation and related risk analysis resulting from this work will provide further information for better flood risk management and alleviation. This will in turn benefit the general public in terms of flood risk reduction and improved communication of flood risk.
Key Findings
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Organisation Website:	http://www.ncl.ac.uk