In the Denver air quality control region, the abundance of sunlight, the high altitude, and the large percapita automobile population have resulted in a serious oxidant pollutant problem. Local officials have required and the public has supported the use of the latest state of the art to analyze existing air quality and to determine what may be expected in the future. The photochemical oxidant model developed by Systems Applications, Inc., has been used to assess local conditions. The model was calibrated in the winter for a bad carbon monoxide condition and in the summer for a bad ozone condition. The 120 h of carbon monoxide data sets used to compare the measured versus model-predicted values resulted in a correlation coefficient of 0.71. Ozone data for 74 h resulted in a correlation coefficient of 0.80. Linear regression equations were used to adjust the model for minor unaccountable error for each pollutant. To date, the model has been used to analyze regional air quality situations given various transportation and land use scenarios. This use includes the assessment of air quality control strategies, transportation system alternatives, and alternative routing of a major freeway proposal. Recent innovations in the model have improved chemistry reaction rates; the model output now approaches the precision of pollutant monitoring equipment. The improved model has been used to analyze various land use strategies and will be incorporated into the transportation planning process. /Author/

Media Info

  • Media Type: Print
  • Features: Figures; References; Tables;
  • Pagination: pp 9-20
  • Monograph Title: Air quality analysis in transportation planning
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00193360
  • Record Type: Publication
  • Files: TRIS, TRB
  • Created Date: May 26 1979 12:00AM