Computer Models for Predicting the Probability of Violating CO Air Quality Standards: The Model SIMCO

Report No: 83-R7

Published in 1982

About the report:

This report presents the user instructions and data requirements for SIMCO, a combined simulation and probability computer model developed to quantify and evaluate carbon monoxide in roadside environments. The model permits direct determinations of the probability of violating the one- and eight-hour National Ambient Air Quality Standards for carbon monoxide. It also provides information on the magnitude and frequency of carbon monoxide concentrations. The probability of violating an air quality standard is a function of the random influences of meteorology, traffic volumes, emission patterns, and background pollution levels. SIMCO simulates carbon monoxide concentrations based on these parameters. Generally ten years of hourly concentrations are simulated for each analysis. The input data required by SIMCO are the source and receptor coordinates, representative historical meteorological records, temporal vehicle traffic volume and emission patterns, and representative background pollutant statistics. The model can be used to provide a comprehensive microscale analysis for highway environmental impact studies and state implementation plan hot spot analyses, and for monitor-siting studies to determine the attainment and maintenance of the standards for carbon monoxide.

Disclaimer Statement:The contents of this report reflect the views of the author(s), who is responsible for the facts and the accuracy of the data presented herein. The contents do not necessarily reflect the official views or policies of the Virginia Department of Transportation, the Commonwealth Transportation Board, or the Federal Highway Administration. This report does not constitute a standard, specification, or regulation. Any inclusion of manufacturer names, trade names, or trademarks is for identification purposes only and is not to be considered an endorsement.


Other Authors

William A. Carpenter, Ronald L. Heisler, Samuel F. Curling

Last updated: January 18, 2024

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