Inhalation Exposure Risk During a Military Operation: A Risk Assessment Approach.

Abstract

Risk management decisions are a military decision-maker's primary responsibility and are based on risk assessments characterizing the probability and severity of the potential mission effect. Military deployment environmental hazard tolerances are presently based on point estimates of exposure risks using regulatory standards. The goal of this research is the evaluation of deterministic and probabilistic techniques in assessing and characterizing deployment exposure risks. This research estimated noncarcinogenic health risk from inhalation exposure to benzene during a military deployment, based on air monitoring conducted at 16 locations using U.S. Environmental Protection Agency (EPA) methods and guidelines. Ambient benzene concentrations -3.86 microngram/m3 (Tuzla), 8.27 microngram/m3 (1st Brigade), and 1.1 microngram/m3 (2nd Brigade) - were similar to U.S. urban areas. Hazard quotients derived using EPA's Reasonable Maximum Exposure (RME) procedures and Monte Carlo simulations for deployed occupational cohorts are compared. An RfDi calculated by time-weighting EPA's reference concentration and the American Conference of Government Industrial Hygienists' Threshold Limit Value is proposed for military deployment risk assessment.

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Document Details

Document Type
Technical Report
Publication Date
Apr 22, 1999
Accession Number
ADA363340

Entities

People

  • Bruce A. Ruscio

Organizations

  • Johns Hopkins University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Alkenes
  • Chemical Synthesis
  • Chemistry
  • Computational Science
  • Databases
  • Environmental Exposure
  • Environmental Monitoring
  • Environmental Pollutants
  • Health Services
  • Hygiene
  • Information Science
  • Medical Personnel
  • Occupational Safety And Health
  • Organic Chemistry
  • Surveys
  • Waste Disposal Facilities

Fields of Study

  • Environmental science

Readers

  • Auditory Neuroscience/Auditory Physiology.
  • Military Science
  • Statistical inference.