scholarly journals Some characteristic parameters of Gaussian plume model

MAUSAM ◽  
2021 ◽  
Vol 63 (1) ◽  
pp. 123-128
Author(s):  
M. ABDELWAHAB ◽  
KHALEDS.M. ESSA ◽  
M. EMBABY ◽  
SAWSANE.M ELSAID
Keyword(s):  
Concentration Distribution ◽  
Concentration Level ◽  
Ground Level ◽  
Characteristic Parameters ◽  
Gaussian Plume Model ◽  
Ground Level Concentration ◽  
Wind Tunnel Measurements ◽  
Gaussian Plume ◽  
First Four Moments ◽  
Skewness And Kurtosis

The Gaussian solution of the diffusion equation for line source is used to have the first four moments of the vertical concentration distribution (centroid, variance, skewness, and kurtosis). The magnitude and position of maximum concentration level were evaluated. Also the plume advection wind speed is estimated. Equations for the ground level concentration were compared with wind tunnel measurements.

scholarly journals Maximum ground level concentration Of air pollutant

MAUSAM ◽  
2021 ◽  
Vol 42 (4) ◽  
pp. 381-384
Author(s):  
A. B. MAYHOUB ◽  
AZZA O. EL-SHAL ◽  
A. AZZAM
Keyword(s):  
Ground Level ◽  
Air Pollutant ◽  
Theoretical Treatment ◽  
Illustrative Case ◽  
Effective Height ◽  
Ground Level Concentration ◽  
Gaussian Plume ◽  
Illustrative Case Study ◽  
Semi Empirical

The emission of an air pollutant from an elevated point source according to Gaussian plume model has been presented. Au. elementary theoretical treatment for both the highest possible ground-level concentration and the downwind distance at which this maximum occurs for different stability classes has been constructed. The effective height release modification was taken into consideration. An illustrative case study, namely, the emission from the research reactor in Inchas, has been studied.  The results of these analytical treatments and of the derived semi-empirical formulae are discussed and presented in few  illustrative diagrams.  

scholarly journals INFLUENCE OF SETTLING VELOCITY OF PARTICULATE MATTER ON GROUND LEVEL CONCENTRATIONS

2016 ◽  
Vol 38 ◽  
pp. 560 ◽  
Author(s):  
Tiziano Tirabassi ◽  
Davidson Martin Moreira
Keyword(s):  
Particulate Matter ◽  
Analytical Solution ◽  
Diffusion Equation ◽  
Concentration Distribution ◽  
Settling Velocity ◽  
Atmospheric Stability ◽  
Ground Level ◽  
Advection Diffusion Equation ◽  
Advection Diffusion ◽  
Ground Level Concentration

The settling velocity and deposition of particulate matter on the earth's surface has been introduced in an analytical solution of advection-diffusion equation. The influence of particle diameters in ground level concentration distribution was investigated in function of different atmospheric stability condiyions 

Optimization of Stack Emission Parameters Using Gaussian Plume Model

2012 ◽  
Vol 58 (2) ◽  
Author(s):  
Zairi Ali ◽  
Ubaidullah D. ◽  
M. N. Zahid ◽  
Kahar Osman
Keyword(s):  
Dispersion Model ◽  
Ground Level ◽  
Ambient Air ◽  
Quality Standard ◽  
Ease Of Use ◽  
Manufacturing Plant ◽  
Data Sampling ◽  
Gaussian Plume Model ◽  
Plume Model ◽  
Gaussian Plume

Numerical simulation is an economical way to control air pollution because of its consistency and ease of use compared to traditional data sampling method. The objective of this research is to develop a practical numerical algorithm to predict the dispersion of pollutant particles around a specific source of emission. The algorithm is tested with a rubber wood manufacturing plant. Gaussian-plume model were used as air dispersion model due to its simplicity and generic application. Results of this study show the concentrations of the pollutant particles on ground level reached approximately 90μg/m3, compared with other software. This value surpasses the limit of 50μg/m3 stipulated by the National Ambient Air Quality Standard (NAAQS) and Recommended Malaysian Guidelines (RMG) set by Environment Department of Malaysia. The manufacturing plant is advised to make a few changes with its emission parameters and adequate values are suggested. In general, the developed algorithm is proven to be able to predict particles distribution around emitted source with acceptable accuracy.

In the special case shown here, the Gaussian plume model does not predict the location of the maximum concentration in agreement with the experiment, but it is appropriate to determine the concentration decay in downwind direction. That what happens between the point source location and the maximum location is of accademic interest only. A question for practical purpose is how we can get information about the maximum location, where from the model is realistic. From equation (3.13) we can deduct a rough approximation of the location where maximum ground-level concentration occurs. It is argued that the turbulent diffusion acts more and more on the emitted substances, when the distance from the point source increases: therefore the downwind distance dependency of the diffusion coefficients is done afterwards. If we drop this dependency, equation (3.13) leads to Xmax = 34,4 m for AK = I (curve a) and xmax = 87,7 m for AK = V (curve b), what is demonstrated in fig. 11. The interpolated ranges of measured values are lined in. Curve a overestimates the nondimensional concentration maximum, but its location seems to be correct. In the case of curve b the situation is inverted. C urve c is calculated with the data of AK = II. The decay of the nondimen­ sional concentration is predicted well behind the maximum. Curve d is produced with F - 12,1, f = 0,069, G = 0,04 and g = 1,088. The ascent of concentration is acceptable, but that is all, because there is no explana­ tion of plausibility how to alter the diffusivity parameters. Therefore it must be our aim to find a suitable correction in connection with the meteorological input data. o 0

1986 ◽  
pp. 124-124
Keyword(s):  
Point Source ◽  
Diffusion Coefficients ◽  
Input Data ◽  
Ground Level ◽  
Ground Level Concentration ◽  
Concentration Maximum ◽  
Rough Approximation ◽  
Gaussian Plume ◽  
Meteorological Input ◽  
Special Case

scholarly journals An Analytical Simple Formula for the Ground Level Concentration from a Point Source

Atmosphere ◽  
2011 ◽  
Vol 2 (2) ◽  
pp. 21-35 ◽  
Author(s):  
Tiziano Tirabassi ◽  
Alessandro Tiesi ◽  
Marco T. Vilhena ◽  
Bardo E.J. Bodmann ◽  
Daniela Buske
Keyword(s):  
Point Source ◽  
Simple Formula ◽  
Ground Level ◽  
Ground Level Concentration
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