RECEPTOR MODELING OF VOCS, CO, NOX, AND THC IN TAIPEI

An empirical receptor model based on Markov Chain Monte Carlo simulation was applied to one-year measurements of eight volatile organic compounds (VOCs), carbon monoxide (CO), nitrous oxide (NOx) and total hydrocarbon (THC) collected in Taipei during 1993. Ambient monitoring data were measured at four monitoring stations in Taipei metropolitan. Among five VOC-based sources (motorcycles, catalyst passenger cars, non-catalyst passenger cars, diesel vehicles, and gasoline vapor), non-catalyst passenger cars had the greatest contributions to eight VOCs. Among seven sources based on CO-NOx-THC emissions (catalyst and non-catalyst two-stroke motorcycles, four-stroke motorcycles, catalyst and non-catalyst passenger cars, diesel vehicles, and gasoline vapor), passenger cars had the greatest contributions to NOx, motorcycles had the greatest contributions to CO and gasoline vapor contributed substantially to THC. The empirical receptor models have successfully improved the estimation of source coefficients for VOCs, CO, NOx, and THC by partially solving the collinearity problems among various mobile source profiles. Such an improved methodology is useful for validating sources inventory and managing air quality in metropolitan areas.

  • Availability:
  • Corporate Authors:

    Elsevier

    The Boulevard, Langford Lane
    Kidlington, Oxford  United Kingdom  OX5 1GB
  • Authors:
    • CHAN, C-C
    • NIEN, C-K
  • Publication Date: 1996-1

Language

  • English

Media Info

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Filing Info

  • Accession Number: 00719903
  • Record Type: Publication
  • Source Agency: Transport Research Laboratory
  • Files: ITRD
  • Created Date: Apr 26 1996 12:00AM