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    Modeling Ambient Carbon Monoxide Trends to Evaluate Mobile Source Emissions Reductions

    Source: Journal of Climate and Applied Meteorology:;1987:;Volume( 026 ):;Issue: 010::page 1377
    Author:
    Dennis, Robin L.
    ,
    Downton, Mary W.
    DOI: 10.1175/1520-0450(1987)026<1377:MACMTT>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Regression models have been used with poor success to detect the effect of emission control programs in ambient concentration measurements of carbon monoxide. An advanced CO regression model is developed whose form is based on an understanding of the physical processes of dispersion. Its performance is shown to be superior to the more traditionally developed regression and time series models. The model separates the effects of emissions change from the effects of fluctuations in meteorological conditions. The separation appears to be most reliable for winter conditions. The model has sufficient precision to identify present trends in emissions ambient concentration data. This model should be useful for detecting changes in emission trends due to implementation of a control program on vehicular emissions such as an inspection and maintenance program.
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      Modeling Ambient Carbon Monoxide Trends to Evaluate Mobile Source Emissions Reductions

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4146449
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    • Journal of Climate and Applied Meteorology

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    contributor authorDennis, Robin L.
    contributor authorDownton, Mary W.
    date accessioned2017-06-09T14:02:00Z
    date available2017-06-09T14:02:00Z
    date copyright1987/10/01
    date issued1987
    identifier issn0733-3021
    identifier otherams-11242.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4146449
    description abstractRegression models have been used with poor success to detect the effect of emission control programs in ambient concentration measurements of carbon monoxide. An advanced CO regression model is developed whose form is based on an understanding of the physical processes of dispersion. Its performance is shown to be superior to the more traditionally developed regression and time series models. The model separates the effects of emissions change from the effects of fluctuations in meteorological conditions. The separation appears to be most reliable for winter conditions. The model has sufficient precision to identify present trends in emissions ambient concentration data. This model should be useful for detecting changes in emission trends due to implementation of a control program on vehicular emissions such as an inspection and maintenance program.
    publisherAmerican Meteorological Society
    titleModeling Ambient Carbon Monoxide Trends to Evaluate Mobile Source Emissions Reductions
    typeJournal Paper
    journal volume26
    journal issue10
    journal titleJournal of Climate and Applied Meteorology
    identifier doi10.1175/1520-0450(1987)026<1377:MACMTT>2.0.CO;2
    journal fristpage1377
    journal lastpage1391
    treeJournal of Climate and Applied Meteorology:;1987:;Volume( 026 ):;Issue: 010
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian