the aim of this research paper is the introduction of a novel mathematical approach to improvethe accuracy of the results of air pollution dispersion models based on the calibration of input backgroundconcentrations. using the dunkirk area of the city of nottingham in the uk as a case study, an air pollutionmodel in adms-roads was created for developing the mathematical approach. the iterative ...

The paper describes a MAS (multi-agent system) simulation approach for controlling PM10 (Particulate Matter) crisis peaks. A dispersion model is used with an Artificial Neural Network (ANN) to predict the PM10 concentration level. The dispersion and ANN models are integrated into a MAS system. PM10 source controllers are modelled as software agents. The MAS is composed of agents that cooperate ...

backgrounds and objectives: the dispersion of particulate matter has been known as the most serious environmental pollution of cement plants. in the present work, dispersion of the particulate matter from stack of kerman cement plant was investigated using computational fluid dynamics (cfd) modeling.materials and methods: in order to study the dispersion of particulate matter from the stack, a ...

Turbulent dispersion of passive scalar quantities has been extensively studied in wind tunnel settings, where the flow is carefully conditioned using flow straighteners and grids. Much less is known about turbulent dispersion in the "unconditioned" flows generated by fans that are ubiquitous in indoor environments, despite the importance of these flows to pathogen and contaminant transport. Her...

the sources of groundwater pollution such as, industrial effluents, sewage and extensive farming have lead to agrochemical pollution. mathematical modeling helps to analyze the existing situation, allows forecasting, and to evaluate the effects of changes in the surrounding water quality. the present research has been focused mainly towards understanding the various processes affecting the tran...

The momentary maximum concentration of the most important air pollutants (nitrogen oxide, sulfur dioxide, carbon monoxide and dusts) was determined using the dispersion curves of the pollutants in the densely inhabited areas of Dâmboviţa County. In order to present the industry-wide potential impact of air pollutants on the population and on the environment, maps showing air pollution levels ha...

As air pollution poses a great challenge around the globe, it is essential to fashion out a way of efficiently degrading the air pollutants. Vacuum Ultraviolet (VUV)-based processes are an emerging and promising technology for environmental remediation such as air cleaning, wastewater treatment, and air/water disinfection. When VUV irradiation, photolysis, photocatalysis, and ozone-assisted oxi...

Nitrogen dioxide (NO2) is noxious, phototoxic and causes eutrophication. NO2 is one of the major precursors of ground level ozone pollution. Emission rates and emission concentrations of various pollutants from stationary sources of power plant emissions are calculated using Emission Inventory methodologies. Ground level concentrations of Nitrogen oxide (NOx) pollution are predicted by Gaussian...

For the prediction of the air pollution level, methods used in system identification can be used. In this case, the system will usually have a number of input parameters (mainly meteorological), and one output parameter, the pollutant concentration. For the pollutant generation and dispersion process, a model is to be developed that satisfies the experimental data (process parameters). This mod...