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    Numerico-Empirical Analyses of Atmospheric Diffusion Theories

    Source: Journal of the Atmospheric Sciences:;1975:;Volume( 032 ):;issue: 009::page 1794
    Author:
    Lamb, Robert G.
    ,
    Chen, Wen H.
    ,
    Seinfeld, John H.
    DOI: 10.1175/1520-0469(1975)032<1794:NEAOAD>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Numerico-empirical expressions for the particle displacement probability density function from which the mean concentration of material in turbulent fluid may be obtained are derived from the numerical planetary boundary layer model of Deardorff. These expressions are then used to compute profiles of the mean, cross-wind-integrated concentration of an inert pollutant issuing from a continuous point source below a stable layer. Profiles are derived for each of two conditions of atmospheric stability: zi/L=0 and ?4.5, where zi is the inversion base height and L the Monin-Obukhov length. The resulting concentration profiles [referred to as the numerico-empirical (NE) profiles] are then used in two separate experiments designed to assess the adequacy of conventional atmospheric diffusion formulations. First, the validity of the atmospheric diffusion equation is assessed by determining for each of the two stabilities cited above the profile of vertical eddy diffusivity that produces the closest fit of the mean concentration predicted by the atmospheric diffusion equation with the NE profiles. Second, comparisons are made between the NE profiles and the corresponding concentration distributions predicted by the Gaussian plume formula with Pasquill-Gifford dispersion parameters, and the Gaussian puff equation with McElroy-Pooler travel-time-dependent dispersion parameters.
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      Numerico-Empirical Analyses of Atmospheric Diffusion Theories

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4152742
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    contributor authorLamb, Robert G.
    contributor authorChen, Wen H.
    contributor authorSeinfeld, John H.
    date accessioned2017-06-09T14:18:26Z
    date available2017-06-09T14:18:26Z
    date copyright1975/09/01
    date issued1975
    identifier issn0022-4928
    identifier otherams-16907.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4152742
    description abstractNumerico-empirical expressions for the particle displacement probability density function from which the mean concentration of material in turbulent fluid may be obtained are derived from the numerical planetary boundary layer model of Deardorff. These expressions are then used to compute profiles of the mean, cross-wind-integrated concentration of an inert pollutant issuing from a continuous point source below a stable layer. Profiles are derived for each of two conditions of atmospheric stability: zi/L=0 and ?4.5, where zi is the inversion base height and L the Monin-Obukhov length. The resulting concentration profiles [referred to as the numerico-empirical (NE) profiles] are then used in two separate experiments designed to assess the adequacy of conventional atmospheric diffusion formulations. First, the validity of the atmospheric diffusion equation is assessed by determining for each of the two stabilities cited above the profile of vertical eddy diffusivity that produces the closest fit of the mean concentration predicted by the atmospheric diffusion equation with the NE profiles. Second, comparisons are made between the NE profiles and the corresponding concentration distributions predicted by the Gaussian plume formula with Pasquill-Gifford dispersion parameters, and the Gaussian puff equation with McElroy-Pooler travel-time-dependent dispersion parameters.
    publisherAmerican Meteorological Society
    titleNumerico-Empirical Analyses of Atmospheric Diffusion Theories
    typeJournal Paper
    journal volume32
    journal issue9
    journal titleJournal of the Atmospheric Sciences
    identifier doi10.1175/1520-0469(1975)032<1794:NEAOAD>2.0.CO;2
    journal fristpage1794
    journal lastpage1807
    treeJournal of the Atmospheric Sciences:;1975:;Volume( 032 ):;issue: 009
    contenttypeFulltext
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