PREDICTION OF ROAD TRANSPORT POLLUTANT EMISSIONS FROM AIR QUALITY DATA - VOLUMES 1, VOLUME 2: APPENDICIES A-C, DATA SUMMARIES AND LISTINGS. DISSERTATION SUBMITTED IN PARTIAL FULFILMENT OF THE DEGREE OF PHD AT IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE

This dissertation presents an inverse model which calculates a real-world value for the average emission rate of any directly emitted pollutant. The model is designed to be simple in use and to require the minimum amount of input data to produce an accurate result. Application of the model is demonstrated by determining emission rates for six volatile hydrocarbons which are emitted by road transport and can affect public health and air quality. These results are calculated from data collected for roadside air quality, local meteorological conditions and traffic flow at a motorway site, in conjunction with a small amount of published information. Model accuracy is highly dependent on the quality of input data and so a method is shown for checking basic air quality data before use in the model. Examples are also discussed of two incidents where non-road transport sources of pollution influenced the acquired data. The relationships between the different pollutants measured are examined to show how best to select an appropriate tracer pollutant, which is the starting point of the model. (A)

  • Corporate Authors:

    TRL

    Crowthorne House, Nine Mile Ride
    Wokingham, Berkshire  United Kingdom  RG40 3GA
  • Authors:
    • RILLIE, I
  • Publication Date: 2000

Language

  • English

Media Info

  • Features: References;

Subject/Index Terms

Filing Info

  • Accession Number: 00801646
  • Record Type: Publication
  • Source Agency: Transport Research Laboratory
  • Files: ITRD
  • Created Date: Nov 8 2000 12:00AM