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Title: Sustainable remediation : designing a decision support tool for the selection of 'gentle' remediation approaches
Author: Onwubuya, Kenechukwu Maurice
Awarding Body: University of Brighton
Current Institution: University of Brighton
Date of Award: 2013
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A range of tools have been proposed to support decision making in contaminated land remediation (collectively referred to as Decision Support Tools or DSTs). From a European perspective it is clear, however, that there are considerable national differences in the decision support process, and more generally in the extent to which this process supports the se lection of less invasive, alternative and potentially more sustainable remediation options such as phytoremediation, in situ immobilisation etc. (referred to here as "gentle" remediation technologies or options). This thesis critically reviews available DSTs in terms of their fitness for purpose for the application of "gentle" remediation technologies, using published literature and data from two stakeholder surveys: the first from a European perspective (completed in the European Union ERANET SNOWMAN project SUMATECS (Sustainable Management of Trace Element Contaminated Sites)) (sample size of 130) and the second focused on contaminated land consultants and managers in the UK (sample size of 71). In general stakeholder feedback from both surveys indicates a lack of knowledge of currently available DSTs and the requirement for a simple OST using a tiered approach that can be integrated into an existing national framework. Based on this stakeholder feedback, a novel OST has been developed that will interface with an existing national framework and which will act as a guide to selection of "gentle" remediation approaches. This DST is a literature based tool that will direct users to collated information on successful practical pilot/field scale studies on " gentle remediation approaches and ensures that the elements or sustainability are considered during selection. The proposed approach is validated against data from three large-scale remediation projects, involving both gentle and more invasive remediation methods, in the UK, France and Belgium.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available
Keywords: F850 Environmental Sciences