A PROBABILISTIC APPROACH TO THE NEAR ROADWAY IMPACT OF AIR POLLUTANTS

In the report on the project entitled "A Probabilistic Approach to the Near Roadway Impact of Nitrogen Dioxide" two methods for estimating the a priori probability, denoted by P(V), of violating certain air quality standards are presented. The standards addressed are those which specify maximum time-average pollutant concentrations which may not be exceeded more than once per year. Two computer programs were developed to test these methods before addressing the additional task of modeling nitrogen dioxide (NO2) concentrations on the micro-region of a highway. These programs, PROBCO 1 and SIMCO 1, predict (PV) for highways relative to carbon monoxide (CO), simple non-reactive gas which, it is generally assumed, disperses in a Gaussian fashion. Examples and comparisons with other techniques are included which show that these methods are efficient and effective. Next a computer model was developed to predict NO2 concentrations near highways. This model is based on the Gaussian formulation for non-reactive gases combined with algebraic manipulation of the NO2, O3, NO chemical balance based on the time constants of the molecular mixing, chemical reaction, and the turbulent dispersion and advection processes. Based on the form of the model the simulation method employed in SIMCO 1 was selected for application to the NO2 problem. The computer program SIMNO 2 incorportes the NO2 model and the simulation method of SIMCO 1 to predict P(V) relative to NO2 concentrations near highways. Examples and comparisons show that SIMNO 2 is efficient and effective. (FHWA)

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/UVA529173CHE80101
• Corporate Authors:

  University of Virginia, Charlottesville

  Center for Transportation Studies, P.O. Box 400742
  Charlottesville, VA  United States  22904-4742
• Authors:
  • Carpenter, W A
  • Hudson, J L
  • White, C C
• Publication Date: 1982-6

Media Info

• Pagination: 124 p.

Subject/Index Terms

• TRT Terms: Air pollution; Carbon monoxide; Concentration (Chemistry); Distance; Nitric oxide; Nitrogen oxides; Probability; Simulation
• Uncontrolled Terms: Concentration; Probabilistic analysis
• Old TRIS Terms: Gaussian plume model
• Subject Areas: Data and Information Technology; Highways;

Filing Info

• Accession Number: 00373118
• Record Type: Publication
• ISBN: UVA/529173/CHE80/101
• Report/Paper Numbers: FHWA-RD-82-100 Final Rpt., FCP EEF3-512
• Contract Numbers: DOT-FH-11-9520
• Files: TRIS
• Created Date: Jun 30 1983 12:00AM