Instrumental Odour Monitoring Systems (IOMS) represent the only tool available for environmental monitoring capable to perform real-time characterization of ambient air. They have been commonly used to assess odour impact at receptors thanks to their capability to detect odours and identify their provenance. An emerging application of IOMS concerns the real-time monitoring of emissions at plant fencelines. To do this, IOMS must provide a fast and accurate measurement of the odour concentration.
The most common approach, currently applied for odour quantification models, involves simplified regression algorithms, neglecting the classification of detected odours before quantification. This results in poorly accurate estimations of the odour concentration since IOMS responses to samples having the same odour concentration, but representative of different sources, may differ significantly.