sesion04 souza00In 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

 

1Laboratory of Air Quality Control, Department of Sanitary and Environmental Engineering, Technological Center, Federal University of Santa Catarina, Campus Reitor João David Ferreira Lima, Trindade, Florianópolis, SC, Brasil, PO Box 476

 

Wind Rose Pro3

wind rose pro3   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.

cilindro   Some guidelines are necessary to help environmental managers of industrial plants and environmental technicians of Environmental Regulatory offices in order to avoid mistakes when choosing dispersion modelling software.

 

Diaz C.1; Cartelle D.2 and Barclay J.3

(1) SVPA, Gerena, Spain (2) Troposfera, Ferrol, Spain (3) independent consultant, Auckland, New Zealand

   Corresponding author: carlosdiaz@olores.org

   Competing interests: The author has declared that no competing interests exist.

   Academic editor: Carlos N Díaz.

   Content quality: This paper has been peer reviewed by at least two reviewers. See scientific committee here

   Citation:Diaz C., Cartelle D., Barclay J., 2014, Revision of Regulatory Dispersion Models, an Important Key in Environmental Odour Management, Ist International Seminar of Odours in the Environment, Santiago, Chile, www.olores.org

   Copyright: 2014 olores.org. Open Content Creative Commons license., It is allowed to download, reuse, reprint, modify, distribute, and/or copy articles in olores.org website, as long as the original authors and source are cited. No permission is required from the authors or the publishers.

   Keywords: subhourly data, topography, average time, peak to mean relation, calm and light winds

   Acronyms: APGNO: Activity that may Potentially Generate Nuisance by Odours, IEA: Integrated Environmental Authorisation, AAE: Authorisation for Atmospheric Emissions, EIA: Environmental Impact Assessment, FB: Fractional Bias; NMSE Normalised Mean Square Error; GM Geometric Mean Bias, WWTP: Waste water Treatment Plant.

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