The Effect of Meteorological Data Averaging Times on Plume Concentrations from Explosive Ordnance Disposal Open Burning Operations

Abstract

Explosive Ordnance Disposal (EOD) Open Burning (OB) operations are performed to treat and dispose of unserviceable munitions in the Department of Defense (DOD) inventory. Air pollution modeling of OB operations is an Environmental Protection Agency requirement for permit issuance at OB sites. Specific OB regulation is still in its infancy; therefore, establishment of OB modeling techniques is still in the early stages. This thesis effort sought to develop a computer model, based upon the Gaussian Puff Equation. The model varies from standard plume modeling practices by not making the assumption that the wind direction, wind speed and turbulence are uniform throughout the duration of the burn. The model assigns meteorological data to each explosion (puff) generated by the OB source. The experiments in this research effort assigned meteorological data to the puffs based upon averaging the weather data over 1, 10, and 60 minute periods. The results of the research showed that there was a statistically significant difference (95% confidence) between 1 minute and 60 minute weather data plume concentrations in the receptor grid in 100% of the experiments performed.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1995
Accession Number
ADA303818

Entities

People

  • Ida L. Widmann

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Counter IED
  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Pollution
  • Computers
  • Department Of Defense
  • Engineering
  • Environmental Protection
  • Equations
  • Explosions
  • Explosive Ordnance Disposal
  • Explosives
  • Inventory
  • Materials
  • Meteorological Data
  • Munitions
  • Temperature Gradients
  • Waste Management
  • Wind Direction

Fields of Study

  • Environmental science

Readers

  • Climatology
  • Munitions and Ordnance Engineering
  • Regression Analysis.