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 ...

Gaseous emissions from the fluidised bed co-combustion of 50% w/w chicken litter and peat were monitored and recorded. Emission data were used to create a dispersion model for a proposed site on a poultry farm in Ireland. Variables within the combustion unit influenced both combustion and emission levels of pollutants such as SO(2) and NO(x), CO. Concentrations of atmospheric pollutants decreas...

this paper examines the utility of the air pollution model (tapm) in simulating meteorology and dispersion of pm10 and wind data in order to assess the impacts of wind variability function on urban heat island for the day of 25, november, 2012 in karaj city that experienced severe degradation in air quality. drawing, skew-t diagrams, maps of surface pressure (500hp), omega (850hp) and atmospher...

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 ...

Guangzhou is the capital and largest city (land area: 7287 km(2)) of Guangdong province in South China. The air quality in Guangzhou typically worsens in November due to unfavorable meteorological conditions for pollutant dispersion. During the Guangzhou Asian Games in November 2010, the Guangzhou government carried out a number of emission control measures that significantly improved the air q...

Atmospheric processes and the associated transport and dispersion of atmospheric pollutants are known to be highly variable in time and space. Current air-quality models that characterize atmospheric chemistry effects, for example, the Community Multiscale Air Quality model (CMAQ), provide volume-averaged concentration values for each grid cell in the modeling domain given the stated conditions...

Continuous measurements of the air pollutant concentrations at monitoring stations serve as a reliable basis for air quality regulations. Their availability is however limited only at locations of interest. In most situations, the spatial distribution beyond these locations still remains uncertain as it is highly influenced by other factors such as emission sources, meteorological effects, disp...

This study developed new procedures to loosely integrate an air dispersion model, AERMOD, and a geographic information system (GIS) package, ArcGIS, to simulate air dispersion from stationary sources in the Bronx, New York City, for five pollutants: PM(10), PM(2.5), NO(x), CO, and SO(2). Plume buffers created from the model results were used as proxies of human exposure to the pollution from th...

Air quality, like weather, can affect everyone, but responses differ depending on the sensitivity and health condition of a given individual. To help protect exposed populations, many countries have put in place real-time air quality nowcasting and forecasting capabilities. We present in this paper an optimal combination of air quality measurements and model outputs and show that it leads to si...