title: Application of the analytic hierarchy process to compare alternatives for the long-term management of surplus mercury.
abstract: This paper describes a systematic method for comparing options for the long-term management of surplus elemental mercury in the US, using the analytic hierarchy process as embodied in commercially available Expert Choice software. A limited scope multi-criteria decision analysis was performed. Two (2) general types of treatment technologies were evaluated (stabilization/amalgamation and selenide), combined with four (4) disposal options: (a) hazardous waste landfill; (b) hazardous waste monofill; (c) engineered below-ground structure; and (d) mined cavity. In addition, three storage options for elemental mercury were considered: (a) aboveground structure; (b) hardened structure; and (c) mined cavity. Alternatives were evaluated against criteria that included costs, environmental performance, compliance with current regulations, implementation considerations, technology maturity, potential risks to the public and workers, and public perception. Considering non-cost criteria only, the three storage options rank most favorably. If both cost and other criteria are considered, then landfill options are preferred, because they are the least expensive ones. Storage options ranked unfavorably on cost because: (a) even relatively small per annum costs will add up over time; and (b) storage is a temporary solution and, sooner or later, a treatment and disposal technology will be adopted, which adds to the cost. However, the analysis supports continued storage for a short period (up to a few decades) followed by permanent retirement when treatment technologies have matured. Suggestions for future work include: (a) involving additional stakeholders in the process, (b) evaluating alternatives for mercury-containing wastes rather than for elemental mercury only, (c) revisiting the analysis periodically to determine if changes are required, (d) conducting uncertainty analyses utilizing Monte Carlo-based techniques.
authors.affiliation: Land Remediation and Pollution Control Division, National Risk Management Research Laboratory, Office of Research and Development, US Environmental Protection Agency, 26W Martin Luther King Drive, Cincinnati, OH 45268, USA. randall.paul@epa.gov
authors.forename: Paul
authors.initials: P
authors.lastname: Randall
authors.forename: Linda
authors.initials: L
authors.lastname: Brown
authors.forename: Larry
authors.initials: L
authors.lastname: Deschaine
authors.forename: John
authors.initials: J
authors.lastname: Dimarzio
authors.forename: Geoffrey
authors.initials: G
authors.lastname: Kaiser
authors.forename: John
authors.initials: J
authors.lastname: Vierow
mesh_terms: D003657:Decision Making; D004787:Environmental Pollution / Q000517:prevention & control; D005544:Forecasting; D006256:Hazardous Waste; D008628:Mercury; D008962:Models, Theoretical; D012984:Software; D018505:Waste Management / Q000379:methods*
chemical_list: D006256:Hazardous Waste; D008628:Mercury