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Making the CERCLA Criteria Analysis of Remedial Alternatives More Objective
Author(s) -
Grelk Brian J.,
Kloeber Jack M.,
Jackson Jack A.,
Parnell Gregory S.,
Deckro Richard F.
Publication year - 1998
Publication title -
remediation journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.762
H-Index - 27
eISSN - 1520-6831
pISSN - 1051-5658
DOI - 10.1002/rem.3440080209
Subject(s) - superfund , remedial education , multiple criteria decision analysis , decision maker , weighting , task (project management) , decision analysis , risk analysis (engineering) , liability , set (abstract data type) , compensation (psychology) , computer science , operations research , management science , business , engineering , accounting , economics , hazardous waste , mathematics , psychology , waste management , mathematics education , systems engineering , radiology , psychoanalysis , programming language , mathematical economics , medicine
This article shows how decision analysis techniques assisted decision makers in the critical RI/FS task of technology selection at a specific Superfund site. Each remediation alternative's performance was quantified by creating a set of objective evaluation measures tied to the criteria mandated in the comprehensive Environmental Response, Compensation and Liability Act of 1980. The evaluation measure scores were input into a quantitative decision analysis model used to rank alternatives based on their performance relative to the CERCLA criteria, and to provide insight to the sensitivity of the results to changes in decision maker preferences or technology performance. The model is designed to reflect the site decision maker's preferences and the site‐specific characteristics within the framework of the nine CERCLA criteria. This model will give Superfund site decision makers an objective and transparent framework to evaluate remedial technologies.

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