Integrating environmental restoration management within DOE using an alternative identification and evaluation procedure: A methodology and a case history

The process of identifying and evaluating alternative corrective measures is a fundamental integrating part of Environmental Restoration (ER) activities. The process used in the Los Alamos National Laboratory (the Laboratory) ER Program is based on principles and tools from multiattribute decision analysis, a well-developed and proven method for evaluating options in decision situations involving multiple objectives, uncertainty, multiple interested stakeholders in the final decision, and the need for technical input from disparate disciplines. The process provides a methodology that has been extensively developed and reviewed over the past five decades; it provides a methodological structure for incorporating the concepts espoused in the streamlined approach as well as more specific guidelines such as data quality objectives (DQOs). The application of this methodology to the ER Program at Los Alamos is described in this paper