The detection and nuisance concentrations of odors are frequently quoted in terms of dilutions from the initial source concentration. Meteorological dispersion modeling has been used to estimate the dilutions achieved between a release point, such as a stack, and a downwind receptor. Conventional models have proven to yield reasonable results for neutral and stable atmospheric conditions, withi...

Since municipal solid waste (MSW) landfills emit significant amounts of methane, a potent greenhouse gas, there is considerable interest in quantifying surficial methane emissions from landfills. The authors propose a new and easier method by which to estimate methane emissions. The technique uses hundreds of ambient air VOC measurements taken within a landfill, as receptors, and solves the sta...

BACKGROUND Airports represent a complex source type of increasing importance contributing to air toxics risks. Comprehensive atmospheric dispersion models are beyond the scope of many applications, so it would be valuable to rapidly but accurately characterize the risk-relevant exposure implications of emissions at an airport. METHODS In this study, we apply a high resolution atmospheric disp...

In this study, we introduce the prospect of using prognostic model-generated meteorological output as input to steady-state dispersion models by identifying possible advantages and disadvantages and by presenting a comparative analysis. Because output from prognostic meteorological models is now routinely available and is used for Eulerian and Lagrangian air quality modeling applications, we ex...

today, the cement industry is one of the major air polluting industries in the world. hence, in this study, owing to the importance and role of contaminants from the plant, an appraisal of the emission contributions in addition to other factors have been discussed. there are several reasons behind the importance of modeling air pollutants. first, the assessment of standards for air pollution, a...