The validation of a simple Gaussian dispersion model for determining odour emission rates from area sources

Article


Galvin, Geordie, Lowe, Scott and Smith, Rod. 2004. "The validation of a simple Gaussian dispersion model for determining odour emission rates from area sources." Developments in Chemical Engineering and Mineral Processing. 12 (5/6), pp. 545-558. https://doi.org/10.1002/apj.5500120509
Article Title

The validation of a simple Gaussian dispersion model for determining odour emission rates from area sources

Article CategoryArticle
AuthorsGalvin, Geordie (Author), Lowe, Scott (Author) and Smith, Rod (Author)
Journal TitleDevelopments in Chemical Engineering and Mineral Processing
Journal Citation12 (5/6), pp. 545-558
Number of Pages14
Year2004
Place of PublicationPerth, Western Australia
Digital Object Identifier (DOI)https://doi.org/10.1002/apj.5500120509
Abstract

The accuracy of dispersion models is a widely debated topic. The goal of this research was to assess if the odour emission rates (OER) predicted using a simple Gaussian model were comparable to the more intensive and expensive wind tunnel-based odour measurement technique. A Gaussian dispersion model (STINK) was used to determine odour emission rates from piggery ponds. These values were then compared to those measured simultaneously on the pond surfaces using a wind tunnel, and analysed using dynamic olfactometry. Results of linear regressions showed a moderate relationship for two of the three seasons studied, and a very good relationship for the other season studied. Overall, the model showed a good correlation between calculated downwind, and calculated on-pond odour emission rates. The use of the STINK model shows promise as an alternative to the more labour-intensive direct emission rate measurement technique

Keywordsair pollution; odour measurement; olfactometry
ANZSRC Field of Research 2020410304. Environmental biotechnology diagnostics (incl. biosensors)
409901. Agricultural engineering
410404. Environmental management
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Byline AffiliationsDepartment of Primary Industries, Queensland
Department of Agricultural, Civil and Environmental Engineering
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