The Long Lifetime of the Dispersion Methods of Pasquill in U.S. Regulatory Air Modeling

Turner, D.B.

doi:10.1175/1520-0450(1997)036<1016:tllotd>2.0.co;2

Cited by 28 publications

(13 citation statements)

References 8 publications

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“…An obvious approach to calculate turbulence parameters is to define categories regarding radiation parameters, wind speed, surface roughness and cloud cover. The widely used method of Pasquill defines six stability classes from the very unstable A to the moderately stable F based on wind speed, sun elevation and cloud cover (Table 1) [5,6]. The advantage of Pasquill's method is that turbulence parameters can be directly estimated from basic meteorological measurements; however, the accuracy of pre-defined values of the six discrete classes is often low compared to more sophisticated parameterizations.…”

Section: Stability Classesmentioning

confidence: 99%

Dispersion modeling of air pollutants in the atmosphere: a review

et al. 2014

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Modeling of dispersion of air pollutants in the atmosphere is one of the most important and challenging scientific problems. There are several natural and anthropogenic events where passive or chemically active compounds are emitted into the atmosphere. The effect of these chemical species can have serious impacts on our environment and human health. Modeling the dispersion of air pollutants can predict this effect. Therefore, development of various model strategies is a key element for the governmental and scientific communities. We provide here a brief review on the mathematical modeling of the dispersion of air pollutants in the atmosphere. We discuss the advantages and drawbacks of several model tools and strategies, namely Gaussian, Lagrangian, Eulerian and CFD models. We especially focus on several recent advances in this multidisciplinary research field, like parallel computing using graphical processing units, or adaptive mesh refinement.

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Section: Stability Classesmentioning

confidence: 99%

Dispersion modeling of air pollutants in the atmosphere: a review

et al. 2014

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“…I), in order to incorporate the effect of wind shear. But as the information regarding the wind direction shear is not available from routinely available meteorological data, the above modification could not gain popularityC 16 ). We suggest that in the case of non-availability of the data on wind shear, the following methodology may be adopted Wind Velocity (m/s) Wind Angle (Deg.)…”

Section: Model Numerical Calculationsmentioning

confidence: 99%

A 3-D Lagrangian (Monte Carlo) Method for Direct Plume Gamma Dose Rate Calculations

Raza

Ávila

Cervantes

2001

Journal of Nuclear Science and Technology

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A fully 3-D Lagrangian particle method has been presented for calculating the direct gamma dose rates due to a radionuclide plume in the atmosphere. A continuous release of radionuclides into the atmosphere was simulated by liberating a large number of Lagrangian particles whose trajectories were tracked for about 25 h in a turbulent atmosphere with a known wind field. The atmosphere turbulent/stability characteristics like wind velocity fluctuations, eddy lifetime,. etc., were obtained from the reported data in the published literature. · For calculating the direct plume gamma dose rates a point isotropic source formula has been used with appropriate attenuation and build-up factors for the air medium. Each Lagrangian particle represented a point source of radioactivity with a known strength. The dose rates at ground due to the radionuclide cloud were calculated by adding the contribution from each Lagrangian particle in the domain. The numerically calculated dose rates were compared with the already reported results. An excellent comparison was observed for a uniform atmosphere with the Gaussian plume model predictions. However, if the wind shear (change in wind direction with height) is taken into account, we observed that for distances exceeding 20 km, the numerical data were below the reported Gaussian Plume Model (GPM) results. This indicated the need of using a modified GPM for extended distances.

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“…The outcomes from the measured released concentration from those techniques are just a snapshot. However, Turner, 1997 pointed out how important it is to incorporate the use of newer techniques in the regulatory systems, and radionuclide dispersion modeling. Thus making it more important to call for more reliable methods like the use of computer codes.…”

Section: Introductionmentioning

confidence: 99%