A considerable amount of pollution to the air in the forms of hydrocarbons, carbon monoxide (CO), nitrogen oxides (NOx), particular matter (PM) and air toxics comes from the on-road mobile sources. Estimation of the emissions of these pollutants and quantification of the pollutants released are the most important initial steps in the process of controlling the air pollution. This study presents a methodology to rank the roads based on the On-Road Mobile Source Air Pollutant (ORMSAP) emissions using self organizing maps (SOM). This methodology was applied in a case study in Ohio with the historic Average Annual Daily Traffic (AADT) data for highways. This data was obtained from Ohio Department of Transportation (ODOT) and the ORMSAP emission estimates were computed from Motor Vehicle Emission Simulator (MOVES). Traffic was considered as of two types of vehicles, gasoline powered passenger vehicles and diesel powered commercial trucks driven on three types of highways, route, state route and US route. Five ORMSAPs -CO, NOx, PM10, and SO2- were taken into account in this study. Ohio highway network was classified into groups based on five ORMSAP emissions per road length and also per road segment. Ohio counties were classified according to the total ORMSAP emissions per county and also ORMSAP emissions per highway length, per capita and per area of the county. The results were visualized with the GIS maps.


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    Titel :

    On-Road Mobile Source Pollutant Emissions: Identifying Hotspots and Ranking Roads


    Beteiligte:
    R. Kandiah (Autor:in)

    Erscheinungsdatum :

    2010


    Format / Umfang :

    76 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




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