2009
DOI: 10.1098/rspa.2009.0394
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An analytical model for dispersion of pollutants from a continuous source in the atmospheric boundary layer

Abstract: For the dispersion of a pollutant released from a continuous source in the atmospheric boundary layer (ABL), a generalized analytical model describing the crosswind-integrated concentrations is presented. An analytical scheme is described to solve the resulting twodimensional steady-state advection-diffusion equation for horizontal wind speed as a generalized function of vertical height above the ground and eddy diffusivity as a function of both downwind distance from the source and vertical height. Special ca… Show more

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Cited by 36 publications
(40 citation statements)
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“…that the turbulence becomes very weak, sporadic, intermittent and no longer continuous in time and space [14]. For comparative purposes, we use the same digital version of the dataset used by Kumar & Sharan [3] as available at http://www2.dmu.dk/ atmosphericenvironment/Docs/PrairieGrass.xls, that gives the normalized crosswind-integrated concentrations and meteorological variables with a surface roughness length z 0 = 0.006 m.…”
Section: Resultsmentioning
confidence: 99%
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“…that the turbulence becomes very weak, sporadic, intermittent and no longer continuous in time and space [14]. For comparative purposes, we use the same digital version of the dataset used by Kumar & Sharan [3] as available at http://www2.dmu.dk/ atmosphericenvironment/Docs/PrairieGrass.xls, that gives the normalized crosswind-integrated concentrations and meteorological variables with a surface roughness length z 0 = 0.006 m.…”
Section: Resultsmentioning
confidence: 99%
“…Tables 1 and 2 summarize the micrometeorological parameters, emission data and the observed crosswind-integrated concentrations normalized by the source strength. The very stable cases (z 1 /L > 10) were not considered, based on the same argument given by Kumar & Sharan [3], i.e. that the turbulence becomes very weak, sporadic, intermittent and no longer continuous in time and space [14].…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…We can use x = Ut to transform (3) to an x-dependent form. If then the bracketed averages are taken over sufficiently large samples (as would be the case for long time averages at stationary sensors such as a tower), the velocity variances on the RHS of (3) approach the total velocity variance in each dimension, denoted by However, as noted in multiple studies (e.g., Seinfeld 1986;Arya 1995;Degrazia et al 2001;Moreira et al 2005;Kumar and Sharan 2010), Taylor (1921) found an alternate formula appropriate to short time/near-source plume behavior. For t << T L the mean squared displacement of particles is given by:…”
Section: D) Gaussian Plume Near-source Analytical Solutionsmentioning
confidence: 99%
“…Srivastava et al [10] have given a three dimensional atmospheric diffusion model with variable removal rate and variable wind velocity using power law profile. Kumar et al [7] have presented an analytical model for the dispersion of pollutant released from a continuous source in the atmospheric boundary layer describing the crosswindintegrated concentration. They have claimed that the model can also be used for the concentration distribution of a pollutant released from a line source perpendicular to the direction of the mean wind and to study the turbulent dispersion from a steady two dimensional horizontal source in a wide open channel for a generalized profile of wind flow and eddy diffusivity.…”
Section: Introductionmentioning
confidence: 99%