The city of Los Angeles is one of the fastest growing cities in the United States. As the city grows in size, the intra-city commuting infrastructure is increasingly pushed to its limits. As the traffic infrastructure becomes increasingly stressed, traffic congestions have become the norm. These congestions can lead to higher pollutant emissions. One pollutant of particular interest is CO, as its similar density to air will allow it to stay at street level for long periods. Previous studies have shown that long term exposure to CO may lead to higher health risks, particularly for pregnant women and their children. Thus, it is important to study the relationship between traffic and CO emissions, and how the pollutant travels through nearby communities. In this work, we simulate the flow of CO emission from vehicles on freeway as it flows through nearby communities, using a computational fluid dynamics (CFD) model. The CO emission from vehicles is modeled using the average speed-based emission method, which is coupled with our CFD model. The CFD simulation results are validated by comparing with field data of pollutant emission.


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    Titel :

    Modeling of Traffic Carbon Monoxide Emissions in Urban Communities


    Beteiligte:
    Kuo, Y. J. (Autor:in) / Li, N. (Autor:in) / Lopez, D. (Autor:in)

    Kongress:

    International Conference on Sustainable Infrastructure 2017 ; 2017 ; New York, New York



    Erscheinungsdatum :

    24.10.2017




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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