Analysis for the Accuracy Definition of the Air Quality Assessment Model (AQAM) at Williams Air Force Base, Arizona. Volume I. Technical Discussion.

Abstract

The Air Quality Assessment Model (AQAM) overall predictive accuracy is analyzed using actual air base ambient air quality measurements. These measurements of CO, NO, NO(x), THC, CH4, and visibility at Williams Air Force Base, Arizona, from June 1976 to June 1977 were compared with AQAM predicted air pollution concentrations to determine AQAM's predictive power. The AQAM accuracy is analyzed on an hour-by-hour basis and statistical bases using accumulative frequency distribution. The conclusions are that AQAM accuracy is well within the accuracy range expected for Gaussian urban dispersion models. Even though an attempt was made to select an isolated base from urban background emissions, the background concentration had to be accounted for in the analysis. Concentrations in the air base vicinity were extremely low when compared with background concentrations resulting from urban transport. Without the background concentration adjustments, the AQAM model tended to underpredict the pollutant concentrations. The results also indicate that AQAM is especially accurate in simulating the potential worst case airbase concentrations associated with morning hours, low wind speeds, stable atmospheric conditions, and high activity. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1980
Accession Number
ADA091171

Entities

People

  • D. M. Rote
  • E. P. Dunphy
  • F. J. Lamich
  • L. A. Conley
  • R. J. Yamartino

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Air Force Facilities
  • Air Pollution
  • Aircrafts
  • Computational Science
  • Computations
  • Data Science
  • Databases
  • Engineering
  • Information Science
  • Meteorology
  • Observation
  • Plastic Explosives
  • Statistical Algorithms
  • Statistical Analysis
  • Three Dimensional

Fields of Study

  • Environmental science

Readers

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