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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
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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.
The current problems in relation to odor pollution episodes make it necessary to have methods to assess odor impacts. Such assessment can be performed using dispersion models that allow to estimate odor concentrations considering the emissions, the meteorology and the topography, among other data.
Dispersion modeling defines the relationship between the emission source and the receptor. While control measures may be applied to the emission source, compliance with odor nuisance standards depend on whether the odor concentrations at the receptor have been adequately reduced with respect to their frequency, intensity, duration and location.