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There is a wide range of methods used to monitor incidents at a real time scale using dispersion models in some occasions coupled with electronic sensor gas emission monitoring. In other cases the monitoring is made with the help of real data from residents or with dedicated panellists. They all have one thing in common: These tools predict the event when it is already happening, therefore there is no option for the plant manager to take actions to correct the incident.
David Cartelle Fernándezb, Carlos N. Díaz Jiménez*a, Jose M. Vellón Grañab, Ángel Rodríguez Lópezb.
a SVPA, Servicios de Protección Ambiental
b TROPOSFERA
Contacto: carlosdiaz@prolor.net
website: www.prolor.net
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.
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.