PROBAQM--A PROBABILISTIC AIR QUALITY MODEL FOR HIGHWAYS. FINAL REPORT

The Probabilistic Air Quality Model (PROBAQM) provides realistic and easily interpreted estimates of air quality impacts in the microregion of one or more highways. The model has been designed to enable environmental analysts and highway design engineers who may have little or no computer experience to perform detailed and realistic analyses of the impacts of existing or proposed highway facilities. It incorporates many advanced computational and modeling features specifically designed to give the user a great deal of power without a great deal of complexity. The model is also very flexible. It will easily accommodate new air quality standards and can address single-hour and multiple-hour air quality standards up to 24 hours. In addition, it can address standards which either count or do not count overlapping multiple-hour violations. It can model up to thirteen line sources with completely independent variations in source characteristics. PROBAQM also provides a complete range of informative output. The user's guide in this report describes both data sources and methods for acquiring PROBAQM input data. Alternatively, the user can choose to use some of the program's defaults for many of the model's input traffic parameters. The user's guide also provides detailed descriptions of the input procedures, as well as a presentation of the mathematical and probabilistic concepts upon which PROBAQM is built. The PROBAQM source code is available on tape together with sample data and the source code for PWTHRDCT and PWCLASS, two programs for performing a required one-time preprocessing of PROBAQM meteorological data.

• Supplemental Notes:
  • This Report is a Successor to Report FHWA-RD-82-100.
• Corporate Authors:

  Inco Incorporated

  8260 Greensboro Drive
  McLean, VA  United States  22102

  Federal Highway Administration

  Turner-Fairbank Highway Research Center, 6300 Georgetown Pike
  McLean, VA  United States  22101
• Authors:
  • Carpenter, W A
  • Hendricks, W J
  • Belli, D M
  • Davis, S R
  • Hudson, J L
  • Sabadell, Y P
  • Yu, S B
• Publication Date: 1984-8

Media Info

• Features: Appendices; Figures; References; Tables;
• Pagination: 162 p.

Subject/Index Terms

• TRT Terms: Air pollution; Computer programs; Environmental impacts; Guides to information; Highway design; Mathematical models; Probability; Standards
• Uncontrolled Terms: Models; Probabilistic analysis
• Old TRIS Terms: Guides
• Subject Areas: Data and Information Technology; Design; Environment; Highways; Operations and Traffic Management; Planning and Forecasting; I21: Planning of Transport Infrastructure;

Filing Info

• Accession Number: 00393973
• Record Type: Publication
• Report/Paper Numbers: FHWA-RD-84-046 Final Rpt., FCP 39B4012
• Contract Numbers: DTFH61-82-C-00047
• Files: TRIS, ATRI, USDOT
• Created Date: Jul 31 1985 12:00AM