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Traffic Emission Pollution Sampling and Analysis on Urban Streets with High-Rising Buildings

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  • Zhou, Hongchang
  • Sperling, Daniel

Abstract

Air pollution at many types of intersections and other roadside “hot spots” is not accurately characterized by state-of-the-practice models. In this study, data were collected on traffic flows, second-by-second CO and NO2 ambient concentrations in Shanghai, China. The sampled data were compared with CAL3QHC modeling results. We found that: (1) intersection hot spot emission concentrations were explained primarily by queuing activities of motor vehicles; (2) air quality concentrations are difficult to predict because of complex dispersion processes near high-rise buildings; and (3) screening models such as CAL3QHC are prone to large errors in dense cities with mixed traffic and high-rising buildings. Suggestions are made for improved models relevant to dense developing cities.

Suggested Citation

  • Zhou, Hongchang & Sperling, Daniel, 2001. "Traffic Emission Pollution Sampling and Analysis on Urban Streets with High-Rising Buildings," Institute of Transportation Studies, Working Paper Series qt2hv8078v, Institute of Transportation Studies, UC Davis.
    • Handle: RePEc:cdl:itsdav:qt2hv8078v
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    Cited by:

    1. Tzeng, Gwo-Hshiung & Lin, Cheng-Wei & Opricovic, Serafim, 2005. "Multi-criteria analysis of alternative-fuel buses for public transportation," Energy Policy, Elsevier, vol. 33(11), pages 1373-1383, July.

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