Air Force Assignment Data Analysis Report

Abstract

Risk assessors are often forced to use default, single point, assumptions of typical duration of exposure when performing risk assessments for military populations and their families due to the uncertainty of assignment tour lengths. This project uses a probabilistic approach to risk assessments to provide site specific time on station (i.e., residence time) distributions for both officer and enlisted personnel located at Air Force installations within the continental United States (CONUS). Five distinct assignment dates were investigated to evaluate temporal variations in residence time. A total of 369 spreadsheets containing 733 time-on-station distributions were prepared. Across all five data sets (1987, 1990, 1995, 1998, and 1999) the mean residence time on station was 915 days (2.51 years) for enlisted personnel and 692 days (1.90 years) for officers. This resulted in a factor of 3.59 and 4.74 less, respectively, than the default value of 9 years used by the U.S. Environmental Protection Agency (EPA). Human health risk estimates using a benzene inhalation exposure scenario in a Monte Carlo simulation, were found to be lower than the EPA mean risk estimates by factors of approximately 4 and 5 for enlisted and officer personnel, respectively.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2000
Accession Number
ADA387299

Entities

People

  • Denny A. Reed
  • Erik K. Vermulen
  • Peter A. Lurker

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Air Force Personnel
  • Data Analysis
  • Data Sets
  • Database Management Systems
  • Databases
  • Enlisted Personnel
  • Environmental Protection
  • Information Science
  • Military Personnel
  • Monte Carlo Method
  • Officer Personnel
  • Risk
  • Risk Analysis
  • Statistical Analysis
  • Statistics
  • United States

Fields of Study

  • Environmental science

Readers

  • Aviation Safety Risk Assessment.
  • Naval Personnel Management
  • Regression Analysis.