Development of a Computer-Based Air Force Installation Restoration Workstation for Contaminant Modeling and Decision-Making

Abstract

The objective of this research is to develop a groundwater remediation advisory system for use in investigating possible remediation activities for the cleanup of contamination from hazardous substances, pollutants and contaminants at Air Force sites. The advisory system provides a decision framework for selecting an appropriate model from the numerous available transport models conditioned on available site data. In addition, the use of optimization methods is explored for determining optimal remediation strategies at a specific site. The optimization routine evaluates tradeoffs between the long-term cost of remediation and the probability the remediation strategy will fail. The final product of this project is a computer-based Air Force Installation Restoration Workstation Advisory System for contaminant modeling and decision-making. This software can be used as an aid to technical project managers within the US Air Force Installation Restoration Program in developing and evaluating possible remediation alternatives and managing ongoing remediation activities. This users manual provides guidance on use of the advisory system.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1995
Accession Number
ADA286867

Entities

People

  • Miguel A. Medina
  • Timothy L. Jacobs

Organizations

  • Duke University

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Chemical Reactions
  • Chemistry
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Computers
  • Databases
  • Environmental Restoration And Remediation
  • Groundwater
  • Monte Carlo Method
  • Operating Systems
  • Probabilistic Models
  • Risk Analysis
  • Three Dimensional
  • Two Dimensional
  • Waste Disposal Facilities

Fields of Study

  • Environmental science

Readers

  • Environmental Remediation and Restoration.
  • Instructional Design and Training Evaluation.
  • Software Engineering.