Abstract This paper reviewed the studies of livestock odour dispersion modeling including odor sources, odor emission rate, odor characteristics and measurements, odor dispersion modeling methods, and methods and results of adapting industrial air dispersion models for livestock odor dispersion simulations. The Gaussian plume models, Puff models, Fluctuating models and other models that have be...

prediction of spatial and temporal variation of water quality is vital for managing pollutantsdisposal into the rivers. depletion of dissolved oxygen (do) takes place due to the consumption of oxygen bymicrobes to digest bio-degradable pollutants which enter a water course. reaeration takes place in a specificrate depending on do deficit. many investigators have formulated models as an alternat...

Pollutants in the ambient air result in personal exposure, target tissue exposure and health responses. Ambient air quality measurement using various indicators is important in exposure assessment. Establishment of standard air quality monitoring networks helps in scientific investigation of health effects of air pollution, national and international reporting and to enforce regulations. Partic...

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 ...

Managing vegetation in urban environments requires an understanding of its structure, atmospheric interactions and function. This has led to quantification and development of models to estimate the functions of urban vegetation, particularly the integrated effects that take place between vegetation and local atmospheres. The Urban FORest Effects (UFORE) model (developed in North America by the ...

Air pollution caused by motor vehicles is one of the most serious problems of civilized society. The aim of this paper is to develop a decision support system that can be used by authorities to reduce air pollution from road transport. The essence of this system consists of mathematical sub-models based on the computer program methodology for calculating emissions from road transport, (COPERT I...

Emissions of air pollutants in and around urban areas lead to negative health impacts on the population. To estimate these impacts, it is important to know the sources and transport mechanisms of the pollutants accurately. Mexico City has a large urban fleet in a topographically constrained basin leading to high levels of carbon monoxide (CO). Large point sources of sulfur dioxide (SO2) surroun...

This paper presents the methodology and results of impact assessment of renewable energy policies on atmospheric emissions of mercury in Europe. The modeling exercise described here was carried out within the EU’s FP7 EnerGEO Project and involves an interaction of several models. First, a set of energy scenarios has been developed with the REMix model that simulates different levels of penetrat...

Air quality simulations and forecasting using photochemical transport models require detailed information of the emissions in the area under investigation. Due to the wide range of space and time scales involved in the physical and chemical processes of air pollution phenomena, a need to perform air quality simulations over larger regions, at finer grid resolutions, using more emissions sources...