Identifying major contributing sources to odour annoyance using a non-specific gas sensor array

Sohn, Jae Ho and Pioggia, Giovanni and Craig, Ian P. and Stuetz, Richard M. and Atzeni, Michael G. (2009) Identifying major contributing sources to odour annoyance using a non-specific gas sensor array. Biosystems Engineering, 102 (3). pp. 305-312. ISSN 1537-5110

Abstract

Identification of major contributors to odour annoyance in areas with multiple emission sources is necessary to address and resolve odour disputes. In an effort to develop an appropriate tool for this task, odour samples were collected on-site at a piggery and an abattoir (the major odour sources in the area) and at surrounding off-site areas, then analysed using a commercial non-specific chemical sensor array to develop an odour fingerprint database. The developed odour fingerprint database was analysed using two pattern recognition algorithms including a partial least squares-discriminant analysis (PLSDA) and a Kohonen self-organising map (KSOM). The KSOM model could identify odour samples sourced from the piggery shed 15, piggery pond 8, piggery pond 9, abattoir, motel and others with mean percentage values of 77.5, 65.0, 90.2, 75.7, 44.8 and 64.6%,respectively.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Depositing User: Dr Ian Craig
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - No Department
Date Deposited: 28 Oct 2009 05:29
Last Modified: 02 Jul 2013 23:20
Uncontrolled Keywords: odour; chemical sensor; partial least squares-discriminant analysis; pattern recognition algorithms; self-organising maps
Fields of Research (FOR2008): 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining
03 Chemical Sciences > 0301 Analytical Chemistry > 030107 Sensor Technology (Chemical aspects)
09 Engineering > 0907 Environmental Engineering > 090799 Environmental Engineering not elsewhere classified
Socio-Economic Objective (SEO2008): D Environment > 96 Environment > 9601 Air Quality > 960199 Air Quality not elsewhere classified
Identification Number or DOI: doi: 10.1016/j.biosystemseng.2008.12.010
URI: http://eprints.usq.edu.au/id/eprint/5402

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