The thesis established the value of empirical data (biological, chemical and physical) in enabling an effective prediction of the potential for biological remediation to take place. While this was calibrated with over forty genuine environmental scenarios, its application to genuine fieldscale operations was more limited. Empirical data also underpinned the assessment of a set of low cost ameliorants in complexing heavy metals enabling the protection of controlled waters. In this case the ameliorant calcium polysulphide out-performed the other solid matrices investigated. The commercial sponsor of the project was Remedios Limited who have pioneered the development and environmental applications of microbial biosensors. This project served to audit the current performance of biosensors and consider their future potential. All of the empirical data and the statistically evaluated results were integrated into a tiered decision support tool. This tool: Remediation DST was developed through a series of options that were weighted to reflect the parameters that assist users in reaching and justifying decisions regarding contaminated land remediation. Tier 1 considers generic risk assessment in the context of remediation. Tier 2 is a multi-component correlation matrix that matches soils or water to the available technologies. A weighted scoring system differentiates the relative merit of the selected option. Tier 3 is a manual interface that links the bespoke needs of users to generic strategies for effective remediation. Once test driven, the tiered approach was effective at clearly justifying the best remedial option available. The output from this project makes full use of empirical data to enable end-users to reach clear and well justified decisions.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:540543 |
| Date | January 2011 |
| Creators | Diplock, E. E. |
| Publisher | University of Aberdeen |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
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