Abstract
Owing to serious health and financial impacts, asbestos contaminated land must be treated in order to protect public health, welfare and the environment. The site characterisation and field investigations as well as other engineering data are typically required in order to assess the risks and to design the remedial actions. Nevertheless, data collection and analysis is a time consuming and usually expensive task. Furthermore, the role of stakeholders in recent years becomes critical in many cases and it should be taken into consideration when setting remedial action objectives. For the above reasons, considerable interest has been focused on the use of evaluation systems for the assessment of remediation alternatives, minimising data requirements, incorporating multiple criteria and competing objectives as well. The present study focuses on the development of a methodology for the preliminary selection of the most appropriate solution for remedying a former asbestos milling plant, based on the principles of fuzzy analytic hierarchy process (AHP). The outcomes indicate that the developed methodology results in a time saving and reasonable cost process that may contribute to a sound prioritisation of the alternatives.
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