Details of Grant 

EPSRC Reference:	GR/M75914/01
Title:	PROCESS & PERFORMANCE MODELS FOR GROUNDWATER POLLUTION & RESTORATION - A PLATFORM GRANT
Principal Investigator:	Lerner, Professor DN
Other Investigators:	Banwart, Professor S Crouch, Professor R
Researcher Co-Investigators:
Project Partners:
Department:	Civil and Structural Engineering
Organisation:	University of Sheffield
Scheme:	Standard Research (Pre-FEC)
Starts:	01 May 2000	Ends:	31 October 2004	Value (£):	381,742
EPSRC Research Topic Classifications:	Assess/Remediate Contamination
EPSRC Industrial Sector Classifications:	Environment No relevance to Underpinning Sectors
Related Grants:
Panel History:
Summary on Grant Application Form
To use, protect and restore our groundwater resources we are faced with the challenge of predicting the behaviour of complex mixtures at contaminant sources, the hydrochemical and microbiological processes along their pathways through the subsurface and the impacts on their receptors.The migration of pollutants is controlled by complex interactions of physical, chemical and biological processes in often heterogeneous or fractured geological media. Improved understanding and descriptions of these processes gained from the field and laboratory must be incorporated into numerical models. Advances in model accuracy, robustness and efficiency are also necessary. Whilst process models are primarily tools used in improving understanding and exploring hypotheses, they are also a necessary step to achieving performance models, ie those capable of producing correct and useful predictions for practical problems, using affordable data sets. Such models will probably use coarse grids and include subsets of processes while maintaining rigorous interpretation. New methodologies must be developed and implemented, to include scaling up of processes and parameters, sensitivity analyses to identify dominant influences, and the application of statistical and probabilistic methods to describe uncertainty.The focus is on developing process and performance models in order to produce practical results, techniques and approaches for the practitioner.
Key Findings
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Organisation Website:	http://www.shef.ac.uk