Introduction: The rapid urbanization coupled with industrial development in Indian cities has led to air pollution that causes adverse effects on the health of human beings. So, it is crucial to track the quality of air in industrial areas of a city to insulate the public from harmful air pollutants.  The present study examined and predicted air quality index levels in industrial areas located ...

In recent years, large cities in China face severer air pollution due to motor vehicle emissions. Accurate high-resolution emission inventories are essential as they are commonly used in air quality dispersion modeling analysis to determine impacts from motor vehicle emissions and assess the effectiveness of control strategies. This paper presents a case study based on motor vehicle emissions i...

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 ...

Apulia region in the Southern Italy is frequently characterised by high photochemical pollution levels in the warm period and by high levels of PM10 and NO2 in the winter season. Emissions in the area derive essentially from urban, shipping and industrial activities. The main industrial activities are related to the iron and steel industry (one of the largest in Europe) on the western coast and...

Improper natural ventilation practices may deteriorate indoor air quality when in close proximity to roadways, although the intention is often to reduce energy consumption. In this study, we employed a CFD-based air quality model to quantify the impact of traffic-related air pollution on the indoor air quality of a naturally ventilated building. Our study found that the building envelope restri...

The DAUMOD model is a simple urban scale atmospheric dispersion model which was originally developed to estimate inert air pollutant ground-level background concentrations resulting from a great number of area emission sources. The model has been tested against observations from Buenos Aires and different cities of Europe and the US, and has been extensively used during the past two decades to ...

This study describes key aspects of global chemistry-transport models and their impact on stratospheric tracer transport. We concentrate on global models that use assimilated winds from numerical weather predictions, but the results also apply to tracer transport in general circulation models. We examined grid resolution, numerical diffusion, air parcel dispersion, the wind or mass flux update ...

Contributions of the emissions from a U.K. regulated fossil-fuel power station to regional air pollution and deposition are estimated using four air quality modeling systems for the year 2003. The modeling systems vary in complexity and emphasis in the way they treat atmospheric and chemical processes, and include the Community Multiscale Air Quality (CMAQ) modeling system in its versions 4.6 a...

In the case of a major pollution incident, terrorist attack, or a radioactive event such as the Chernobyl disaster in 1986, dispersion models are used to predict the transport of pollution away from its source, so allowing potentially affected areas to be warned or even evacuated. Thus it is important for both economic and human health reasons that there is continued research in developing and ...

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...