Add to ORKGIn this work programme shall be used in the mathematical modeling of the dynamics of atmospheric \ud pollutants.This is important in assessing the impact of pollutants on air. \ud Mathematical relationships used\ud are presented within this model, the model structure, required \ud parameters in solving problem
The monitoring and forecasting of particulate matter (e.g., PM2.5) and gaseous pollutants (e.g., NO,...
Population and industrial growth in Mexico’s Bajío region demand greater electricity consumption. Th...
A new mathematical model (IIT Air Quality Model or IITAQM) is developed to retain all the desired fe...
Gaussian plume concept and formula (model) is one example of computational modes in which if and whe...
321-324Over the last three decades, strict environmental regulations and the availability of persona...
The increase of the industrial production and the development of new processes led to the necessity ...
Modified expressions for vertical and horizontal dispersion coefficients σy and σz are proposed. The...
Seasonal SO2 average concentrations have been simulated in a topographically complex-coastal site, b...
Seasonal sulphur-dioxide concentrations have been simulated in a topographically complex-coastal sit...
Monitoring is essential to assessing the effectiveness of air pollution control actions. The goal of...
The increasing cost of controlling emissions from industrial sources has magnified the need to devel...
In this work, we present the results of the application of two Gaussian simulation models for the ai...
Air pollution predictions for environmental impact assessments usually use Gaussian plume/puff model...
The aim of this work is to study modeling of air pollution measured data that are remotely sensed th...
In this study, we examined the usage of the Gaussian air dispersion model to visualise point source ...
The monitoring and forecasting of particulate matter (e.g., PM2.5) and gaseous pollutants (e.g., NO,...
Population and industrial growth in Mexico’s Bajío region demand greater electricity consumption. Th...
A new mathematical model (IIT Air Quality Model or IITAQM) is developed to retain all the desired fe...
Gaussian plume concept and formula (model) is one example of computational modes in which if and whe...
321-324Over the last three decades, strict environmental regulations and the availability of persona...
The increase of the industrial production and the development of new processes led to the necessity ...
Modified expressions for vertical and horizontal dispersion coefficients σy and σz are proposed. The...
Seasonal SO2 average concentrations have been simulated in a topographically complex-coastal site, b...
Seasonal sulphur-dioxide concentrations have been simulated in a topographically complex-coastal sit...
Monitoring is essential to assessing the effectiveness of air pollution control actions. The goal of...
The increasing cost of controlling emissions from industrial sources has magnified the need to devel...
In this work, we present the results of the application of two Gaussian simulation models for the ai...
Air pollution predictions for environmental impact assessments usually use Gaussian plume/puff model...
The aim of this work is to study modeling of air pollution measured data that are remotely sensed th...
In this study, we examined the usage of the Gaussian air dispersion model to visualise point source ...
The monitoring and forecasting of particulate matter (e.g., PM2.5) and gaseous pollutants (e.g., NO,...
Population and industrial growth in Mexico’s Bajío region demand greater electricity consumption. Th...
A new mathematical model (IIT Air Quality Model or IITAQM) is developed to retain all the desired fe...