Paper
10 November 2016 Monitoring of odor nuisance in the tri-city agglomeration
Author Affiliations +
Proceedings Volume 10161, 14th International Conference on Optical and Electronic Sensors; 101610L (2016) https://doi.org/10.1117/12.2244679
Event: 14th International Conference on Optical and Electronic Sensors, 2016, Gdansk, Poland
Abstract
The paper describes a principle of operation of odor nuisance monitoring network, which is being designed in the tri-city agglomeration. Moreover, it presents the preliminary results of an investigation on ambient air quality with respect to odour nuisance in a vicinity of the municipal landfill. The investigation was performed during spring-winter season using a prototype of electronic nose and the Nasal Ranger field olfactometers. The prototype was equipped with a set of six semiconductor sensors by FIGARO Co. and one PID-type sensor. The field olfactometers were used to determine mean concentration of odorants, which amounted from 2.2 to 30.2 ou/m3 depending on the place of measurement. In case of the investigation with the electronic nose prototype a classification of the ambient air samples with respect to the place of sampling was performed utilizing kNN algorithm supported with a cross-validation method. Correct classification of the ambient air samples was at the level of 66.7%. Performed investigation revealed that discrimination of the ambient air samples differing in concentration of odorants and place of origin was possible.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jacek Gębicki, Tomasz Dymerski, and Jacek Namieśnik "Monitoring of odor nuisance in the tri-city agglomeration", Proc. SPIE 10161, 14th International Conference on Optical and Electronic Sensors, 101610L (10 November 2016); https://doi.org/10.1117/12.2244679
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Nose

Prototyping

Sensors

Principal component analysis

Semiconductors

Signal processing

Chemical analysis

Back to Top