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

Article

Sohn, Jae Ho, Pioggia, Giovanni, Craig, Ian P., 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. https://doi.org/10.1016/j.biosystemseng.2008.12.010

Article Title	Identifying major contributing sources to odour annoyance using a non-specific gas sensor array
ERA Journal ID	3455
Article Category	Article
Authors	Sohn, Jae Ho (Author), Pioggia, Giovanni (Author), Craig, Ian P. (Author), Stuetz, Richard M. (Author) and Atzeni, Michael G. (Author)
Journal Title	Biosystems Engineering
Journal Citation	102 (3), pp. 305-312
Number of Pages	8
Year	2009
Publisher	Elsevier
Place of Publication	United Kingdom
ISSN	1537-5110
	1537-5129
Digital Object Identifier (DOI)	https://doi.org/10.1016/j.biosystemseng.2008.12.010
Web Address (URL)	http://www.sciencedirect.com/science?_ob=PublicationURL&_tockey=%23TOC%237168%232009%23998979996%23932063%23FLA%23&_cdi=7168&_pubType=J&_auth=y&_acct=C000052720&_version=1&_urlVersion=0&_userid=1472215&md5=5d7fdf6fc02cf4f3e4478ae6fc2647cf
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.
Keywords	odour; chemical sensor; partial least squares-discriminant analysis; pattern recognition algorithms; self-organising maps
ANZSRC Field of Research 2020	469999. Other information and computing sciences not elsewhere classified
	340108. Sensor technology (incl. chemical aspects)
	401199. Environmental engineering not elsewhere classified
Public Notes	Files associated with this item cannot be displayed due to copyright restrictions.
Byline Affiliations	Department of Primary Industries and Fisheries, Queensland
	University of Pisa, Italy
	Department of Agricultural, Civil and Environmental Engineering
	University of New South Wales

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

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