The theoretical basis and techniques for using this (AIRPOL-4) gaussian dispersion model for predicting the impact of a roadway on carbon monodixe (CO) levels within the microscale environment of the roadway are detailed. AIRPOL-4 can predict the air quality impact of a highway over a wide range of geometric, meteorological and traffic conditions, and predict CO levels for receptors at any positive elevation on either the upwind or downwind side of at-grade elevated, or depressed roadways. It can also automatically superimpose CO levels from any desired number of roadways. The model can process any positive wind speed, and any load-wind orientation. AIRPOL-4 could be used to determine CO levels for up to three prediction years, two stability classes, six wind speeds, two receptor elevations and eight receptor distances or up to a total of 576 predictions using only 2 input cards and producing 2 output pages. The model also includes elaborate data verification procedures to assist the user and help prevent abnormal job termination due to erroneous input. Special considerations and examples are described to give the reader a working familiarity with the program.

  • Record URL:
  • Corporate Authors:

    Virginia Highway and Transportation Research Council

    Charlottesville, VA  United States 
  • Authors:
    • Carpenter, W A
    • Clemena, G G
    • Lunglhofer, W R
  • Publication Date: 1975-5

Media Info

  • Features: Appendices; Figures; References;
  • Pagination: 73 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00131367
  • Record Type: Publication
  • Created Date: May 14 1976 12:00AM