See full article in English here.
See full article in English here.
In this article we make a comparative analysis of the performance of the AERMOD and SYMOS’97 dispersion models for simulating the dispersion of odorous compounds in the atmosphere. Although there are a large amount of air dispersion models in literature, there are few data bases that allow the assessment of results obtained by the dispersion simulation of odorous compounds.
F. F. C. Souza, L. Hoinaski, H. de Melo Lisboa1
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A fundamental operation performing odor impact assessment is the analysis of meteorological data, particularly wind direction and speed. Such an analysis allows for example to evaluate the number of calms, which may give raise to high concentration values, and to spot possible errors in meteorological data before using them in an atmospheric dispersion models. Moreover, the determination of the prevailing wind direction allows to understand if possible sources are generally upwind of the potential receptors.
Software tools capable to visualize the wind data easily and in a very short time are therefore very important, because they allow to perform quality assurance before using the data in dispersion simulation models.
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