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Details of Grant 

EPSRC Reference: GR/R03518/01
Title: Quantification of Factors Affecting Rate & Magnitude of Secondary Settlement of Landfills
Principal Investigator: Richards, Professor DJ
Other Investigators:
Robinson, Dr J Powrie, Professor W
Researcher Co-Investigators:
Project Partners:
Building Research Establishment (BRE) Golder Associates (UK) Ltd
Department: School of Civil Eng and The Environment
Organisation: University of Southampton
Scheme: Standard Research (Pre-FEC)
Starts: 01 May 2001 Ends: 30 April 2004 Value (£): 273,343
EPSRC Research Topic Classifications:
Waste Minimisation
EPSRC Industrial Sector Classifications:
No relevance to Underpinning Sectors Environment
Related Grants:
GR/R02832/01
Panel History:  
Summary on Grant Application Form
Quantitative investigations into the fundamental mechanisms of secondary settlement are rate. This is due to the range of factors that may influence the processes that cause secondary settlement, which include the waste composition, as placed dry density, depth of waste, waste pre-treatment, active gas extraction, water content and leachate mobility.The programme of research will commence with a comprehensive literature review together with an assessment of existing field trial results. The key influences on secondary waste settlement will then be investigated by a series of closely controlled large-scale laboratory tests to determine settlement and gas generation rates. Two test cells (0.16cm(3) will contain prepared waste under a constant load. The cells will be instrumented to automatically measure the log gas generation and settlement rates, and regular waste sampling and leachate monitoring will determine the degree of degradation within the waste mass. A quantitative understanding of the influence of the key factors of waste composition, density, water content and leachate mobility determined through the large-scale testing programme will provide the basis for the development of a robust methodology for predicting future waste settlements and will yield high quality data for the validation of quantitative models currently being developed.
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Further Information:  
Organisation Website: http://www.soton.ac.uk