Gaussian plume concept and formula (model) is one example of computational modes in which if and when the exact conditioned specified by parameters occur then Gaussian plume formulas will give fair approximation of the isopleths contours and the orders of magnitude of the concentration be expected. Dispersion co-efficient, pasquill’s stability categories were taken into account and GAUSS MODEL (C++ program) is created to find ground level concentration around RSP. The result obtained is validated with existing records and error is found out. The contours for concentration of various pollutants were drawn. With help of cleanvironment Pvt. Ltd. Field monitoring was done using respirable dust sampler at Kuarmunda area
Nowadays, people are more aware of the air quality than ever. Ground-level pollutants from human act...
1978PDFResearch PaperDOT-TSC-RSPD-78-01DOT-TSC-OST-78-06Information processingComputersAir pollution...
Steady-state Gaussian binomial equations are widely used for predicting the dispersion and ground-le...
In this study, we examined the usage of the Gaussian air dispersion model to visualise point source ...
Numerical simulation is an economical way to control air pollution because of its consistency and ea...
Air quality is far from being a new concern but remains an issue demanding increasing attention. The...
Monitoring is essential to assessing the effectiveness of air pollution control actions. The goal of...
Due to the character of the original source materials and the nature of batch digitization, quality ...
For air quality modeling, the Gaussian plume model has been extensively used to analytically solve t...
Air quality modeling is an essential tool for most air pollution studies and the introduction of SO...
Air pollution prediction around point-source emission of industrial stack has been a great concern t...
The increase of the industrial production and the development of new processes led to the necessity ...
The increase of the industrial production and the development of new processes led to the necessity ...
The increase of the industrial production and the development of new processes led to the necessity ...
The increase of the industrial production and the development of new processes led to the necessity ...
Nowadays, people are more aware of the air quality than ever. Ground-level pollutants from human act...
1978PDFResearch PaperDOT-TSC-RSPD-78-01DOT-TSC-OST-78-06Information processingComputersAir pollution...
Steady-state Gaussian binomial equations are widely used for predicting the dispersion and ground-le...
In this study, we examined the usage of the Gaussian air dispersion model to visualise point source ...
Numerical simulation is an economical way to control air pollution because of its consistency and ea...
Air quality is far from being a new concern but remains an issue demanding increasing attention. The...
Monitoring is essential to assessing the effectiveness of air pollution control actions. The goal of...
Due to the character of the original source materials and the nature of batch digitization, quality ...
For air quality modeling, the Gaussian plume model has been extensively used to analytically solve t...
Air quality modeling is an essential tool for most air pollution studies and the introduction of SO...
Air pollution prediction around point-source emission of industrial stack has been a great concern t...
The increase of the industrial production and the development of new processes led to the necessity ...
The increase of the industrial production and the development of new processes led to the necessity ...
The increase of the industrial production and the development of new processes led to the necessity ...
The increase of the industrial production and the development of new processes led to the necessity ...
Nowadays, people are more aware of the air quality than ever. Ground-level pollutants from human act...
1978PDFResearch PaperDOT-TSC-RSPD-78-01DOT-TSC-OST-78-06Information processingComputersAir pollution...
Steady-state Gaussian binomial equations are widely used for predicting the dispersion and ground-le...