Identifying major contributing sources to odour annoyance using a non-specific gas sensor array
Articolo
Data di Pubblicazione:
2009
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 odor 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.
Tipologia CRIS:
01.01 Articolo in rivista
Elenco autori:
Pioggia, Giovanni
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