scholarly journals Box and Gaussian plume models of the exhaust composition evolution of subsonic transport aircraft in- and out of the flight corridor

1997 ◽  
Vol 15 (1) ◽  
pp. 88-96 ◽  
Author(s):  
I. L. Karol ◽  
Y. E. Ozolin ◽  
E. V. Rozanov
Keyword(s):  
Air Entrainment ◽  
Ambient Air ◽  
Background Concentration ◽  
Plume Dispersion ◽  
Gaussian Plume Model ◽  
Dispersion Parameters ◽  
Transport Aircraft ◽  
Sources And Sinks ◽  
Plume Model ◽  
Gaussian Plume

Abstract. A box and a Gaussian plume model including gas-phase photochemistry and with plume dispersion parameters estimated from the few available plume observations are proposed and used for evaluation of photochemical transformations of exhausts from a single subsonic transport aircraft. The effects of concentration inhomogeneities in the plume cross section on the photochemical sources and sinks in the plume are analyzed for various groups of compounds. The influence of these inhomogeneities on the rate and on the mass of ambient air entrainment into the plume are studied also by comparing the box and the Gaussian plume model simulations during the first hours of their "life''. Due to the enterance of HOx and NOx from ambient air into the plume with rates varying from the wind shear and turbulence conditions, the rate of emitted NOx oxidation in the plume is dependent on these and also on the background concentration levels of HOx and NOx.

Optimisation of dispersion parameters of Gaussian plume model for CO2 dispersion

2015 ◽  
Vol 22 (22) ◽  
pp. 18288-18299 ◽  
Author(s):  
Xiong Liu ◽  
Ajit Godbole ◽  
Cheng Lu ◽  
Guillaume Michal ◽  
Philip Venton
Keyword(s):  
Gaussian Plume Model ◽  
Dispersion Parameters ◽  
Plume Model ◽  
Gaussian Plume

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.

scholarly journals Derivation the Schemes of Lateral and Vertical Dispersion Parameters: Application in Gaussian Plume Model

2013 ◽  
Vol 02 (01) ◽  
pp. 19-24
Author(s):  
Mohamed M. Abdel-Wahab ◽  
Khaled S. M. Essa ◽  
Mokhtar Embaby ◽  
Sawsan E. M. Elsaid
Keyword(s):  
Gaussian Plume Model ◽  
Dispersion Parameters ◽  
Plume Model ◽  
Vertical Dispersion ◽  
Gaussian Plume

scholarly journals Crosswind integrated concentration for various dispersion parameter systems

MAUSAM ◽  
2021 ◽  
Vol 64 (4) ◽  
pp. 645-654
Author(s):  
KHALED SMESSA ◽  
SOAD METMAN
Keyword(s):  
Wind Profile ◽  
Dispersion Parameter ◽  
Diffusion Experiment ◽  
Gaussian Plume Model ◽  
Dispersion Parameters ◽  
Plume Model ◽  
Statistical Measures ◽  
Gaussian Plume ◽  
Release Height ◽  
Logarithmic Wind Profile

LFkkuh; Lrj izdh.kZu ds fy, xkSlh;u fiPNd ekWMy ¼Gaussian Plume Model½ dk O;kid :i ls iz;ksx fd;k tkrk gSA vuqizLFk iou dh dqy lkanzrk Kkr djus ds fy, xkSlh;u lw= ¼QkWewyk½ dks laxfBr fd;k gSA vuqizLFk iou dh dqy lkanzrk dh x.kuk djus ds fy, izdh.kZu izkpyksa dh fHkUu&fHkUu iz.kkfy;ksa dk mi;ksx fd;k x;k gSA lrg Lrj esa Å¡pkbZ ds vuqlkj iou xfr dh fHkUurk dk o.kZu djus ds fy, ykxfjFehd foaM izksQkby dk mi;ksx fd;k x;k gSA blesa NksM+h tkus okyh izHkkoh Å¡pkbZ dks /;ku  esa j[kk x;k gSA fHkUu fHkUu izdh.kZu izkpy iz.kkfy;ksa ds fy, iwokZuqekfur lkanzrkvksa vkSj dksisugsxu ds folj.k iz;ksx ls izkIr fd, x, izsf{kr vk¡dM+ksa dh rqyuk djus ds fy, lkaf[;dh; ifjekiksa dk mi;ksx fd;k x;k gSA  The Gaussian plume model is the most widely used model for local scale dispersion. The   Gaussian formula has been integrated to obtain the crosswind-integrated concentration. Different systems of dispersion parameters are used to calculate the crosswind integrated concentration. A logarithmic wind profile is used to describe the variation of wind speed with height in the surface layer. The effective release height was taken into consideration. Statistical measures are utilized in the comparison between the predicted concentrations for different dispersion parameter systems and the observed concentrations data obtained from Copenhagen diffusion experiment.

The Simulation of Release Consequence with a Modified Gaussian Plume Model

2016 ◽  
pp. 445-454
Author(s):  
Hongya Zhu ◽  
Xuanya Liu ◽  
Qingsong Wang ◽  
Jinhua Sun
Keyword(s):  
Gaussian Plume Model ◽  
Plume Model ◽  
Gaussian Plume
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