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

  • Zhou, Hongchang
  • Sperling, Daniel
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    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.

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    Paper provided by Institute of Transportation Studies, UC Davis in its series Institute of Transportation Studies, Working Paper Series with number qt2hv8078v.

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    Date of creation: 01 Jul 2001
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    Handle: RePEc:cdl:itsdav:qt2hv8078v
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