Date of Award
12-1996
Document Type
Thesis
Degree Name
Master of Science
Department
Department of Operational Sciences
First Advisor
Jack M. Kloeber, Jr., PhD
Abstract
The majority of remediation resources have been consumed by costly and lengthy remedial investigation studies to characterize the human health risk. Unable to deal directly with the uncertainty resulting from the convolution of the uncertainties in a multitude of variables, and heavily persuaded by the liabilities, decision makers and regulators have relied on conservative assumptions and more studies to take appropriate actions. The main objective of this research is to provide tools and techniques to aid risk analysts in determining whether it would be beneficial to gather additional information or whether the decision to take an appropriate action can be made without further investigation. This research provides some probabilistic risk assessment and decision analysis techniques to avoid using simple conservative assumptions to deal with the complex uncertainties to evaluate the value of information of additional studies in the complex remediation decision process. The methodologies in this research were tested on Operable Unit 2, Wright-Patterson AFB, Ohio, and Site 4, Air Force Plant 44, Arizona.
AFIT Designator
AFIT-GEE-ENS-96D-02
DTIC Accession Number
ADA320809
Recommended Citation
Hinojos, Alejandro, "Applying Probabilistic Risk Assessment and Decision Analysis Techniques to Avoid Excessive Remedial Investigation Costs" (1996). Theses and Dissertations. 5894.
https://scholar.afit.edu/etd/5894