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

Galvin, Geordie and 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. ISSN 0969-1855

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


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Author version not held.
Depositing User: Ms Leslie Blay
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Agricultural, Civil and Environmental Engineering
Date Deposited: 16 Aug 2010 11:25
Last Modified: 02 Jul 2013 23:56
Uncontrolled Keywords: air pollution; odour measurement; olfactometry
Fields of Research (FOR2008): 10 Technology > 1002 Environmental Biotechnology > 100204 Environmental Biotechnology Diagnostics (incl. Biosensors)
09 Engineering > 0999 Other Engineering > 099901 Agricultural Engineering
05 Environmental Sciences > 0502 Environmental Science and Management > 050206 Environmental Monitoring
Socio-Economic Objective (SEO2008): D Environment > 96 Environment > 9601 Air Quality > 960103 Farmland, Arable Cropland and Permanent Cropland Air Quality
Identification Number or DOI: doi: 10.1002/apj.5500120509
URI: http://eprints.usq.edu.au/id/eprint/8227

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