Characterizing and Quantifying Local and Regional Particulate Matter Emissions from Department of Defense Installations

Abstract

CP-1191 had six primary objectives: 1) Determine contributions from dust and other sources at Ft. Bliss, TX, to assess the regional impacts of these emissions on ambient particulate matter levels; 2) Develop a dust emission factor database for military vehicles traveling on unpaved surfaces that reflects the influence of the surface over which the travel takes place and the speed of the vehicles; 3) Develop and test a dust emission transport model that can effectively determine the potential of these emissions for long-range transport; 4) Evaluate military vehicle disturbance effects on soil and surface properties and quantify the effects of disturbance on dust emission potential from impacted surfaces; 5) Assess the potential visibility degradation off-post by the emitted PM; and 6) Develop emission components that will be integrated with a GIS-based emission model to estimate dust emission contributions from testing and training activities. To meet the objectives listed above several field studies and one modeling exercise were carried out.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2005
Accession Number
ADA436065

Entities

People

  • D. A. Gillette
  • Geary Schwemmer
  • H. Kuhns
  • H. Moosmueller
  • J. A. Gillies
  • Rohan Varma
  • T. Wilkerson
  • V. Etyemezian
  • W. G. Nickling
  • W. P. Arnott

Organizations

  • Desert Research Institute

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Atmospheric Sciences
  • Chemical Analysis
  • Chemistry
  • Combustion
  • Environment
  • Environmental Protection
  • Measurement
  • Nitrogen Oxides
  • Optical Properties
  • Particle Size
  • Particles
  • Particulate Matter
  • Range Finding
  • Short Range Air Defense
  • Standing Waves
  • Telemetry Equipment
  • Test And Evaluation

Fields of Study

  • Environmental science

Readers

  • Atmospheric Remote Sensing.
  • Computational Modeling and Simulation
  • Internal Combustion Engine (ICE) Technology.