Decision Support Model to Optimize Site Characterization Activities Taken in Compliance with the Comprehensive Environmental Response Compensation and Liability Act

Abstract

One of the most frequently cited reasons for the slow and costly progress of Superfund cleanups is the remedial investigation and feasibility study process (RI/FS). After each phase of the RI/FS process there are several possible alternatives that may be chosen. This research developed decision support models to help decision makers choose between the feasible alternatives at five different decision points during site characterization activities. The models make recommendations on how to deal with any particular chemical based on the risk posed by that chemical. The models assume that the value of characterizing the site further is a reduction in the uncertainty associated with the chemical concentrations in the contaminated media and a reduction in the probability of errors occurring during and after remedy selection. The models developed in this research were verified and validated using data from a fully characterized hazardous waste site. The site evaluated was the POL Storage Area in operable unit two at Wright-Patterson AEB, Ohio.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1995
Accession Number
ADA303789

Entities

People

  • Daniel J. Clairmont

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Alkanes
  • Alkenes
  • Computers
  • Environment
  • Environmental Pollutants
  • Environmental Protection
  • Environmental Restoration And Remediation
  • Feasibility Studies
  • Hazardous Waste
  • Hazardous Waste Sites
  • Law
  • Plastic Explosives
  • Pol Storage
  • Probability
  • Risk Analysis
  • Spreadsheet Software
  • Waste Management

Fields of Study

  • Environmental science

Readers

  • Computational Modeling and Simulation
  • Environmental Remediation and Restoration.
  • Groundwater Contamination Remediation.