The current study aims at modelling the dispersion of two pollutants, namely CO (carbon monoxide) and SO2 (sulfur dioxide) released from District 7 of Tehran Municiaplity, from 20 main line sources, by means of CALPUFF modeling system. CALPUFF is a non-steady state puff modeling software which employs meteorological, terrain, and land-use data to effectively simulate air pollutants' dispersion ...

Paper reviews recent laboratory and numerical model studies of passive gaseous tracer dispersion in the atmospheric convective boundary layer (CBL) with surface and elevated wind shears. Atmospheric measurement data used for validation of these two model techniques are briefly discussed as well. A historical overview is given of laboratory studies of dispersion in the atmospheric CBL. Model stu...

results of velocity structure modeling in the earth's crust using a comparison approach of receiver function analysis and joint inversion of receiver functions with surface wave dispersion data are presented in this paper. seismograms of the teleseismic events that have been recorded on a broadband seismic station in the central alborz were used for data processing. velocity models that we...

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...

As residential areas continue to develop near military sites, possible impacts from military traffic and exercises become of greater concern. Of particular concern is the effect of particulate matter and atmospheric dust dispersion on air quality caused by such maneuvers. To aid this problem, Pacific Northwest National Laboratory proposed a plan to develop, document, and test a modeling system ...

The bivariate Poisson distribution is a popular distribution for modeling bivariate count data. Its basic assumptions and marginal equi-dispersion, however, may prove limiting in some contexts. To allow for data dispersion, we develop here a bivariate Conway–Maxwell–Poisson (COM–Poisson) distribution that includes the bivariate Poisson, bivariate Bernoulli, and bivariate geometric distributions...

The following article contains information about modeling of pollutants dispersion systems in the atmosphere. It also describes main types of pollutants, emission points and analysis of typical atmosphere pollutant dispersion models. It shows a way of using computer cluster systems in modeling process and proper programming libraries for parallel computing. Finally it presents a possibility of ...

it is well known that, contaminant transportation is a major problem in coastal zones and has to be faced when coastal structures are being planned. sea pollution not only causes environmental damage, but also impacts quality and population of sea resources. oil is the most important pollutant, pollutants emanating from industries, ships, drilling and exploration in the seabed, ship sewage, tox...