Monitoring of odour nuisance in the Tricity Agglomeration - Publication - Bridge of Knowledge

Search

Monitoring of odour nuisance in the Tricity Agglomeration

Abstract

The paper describes a principle of operation of odour nuisance monitoring network, which is being designed in the Tricity 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.

Citations

  • 0

    CrossRef

  • 0

    Web of Science

  • 0

    Scopus

Cite as

Full text

full text is not available in portal

Keywords

Details

Category:
Conference activity
Type:
materiały konferencyjne indeksowane w Web of Science
Title of issue:
14th International Conference on Optical and Electronic Sensors strony 1 - 7
ISSN:
0277-786X
Language:
English
Publication year:
2016
Bibliographic description:
Gębicki J., Dymerski T., Namieśnik J..: Monitoring of odour nuisance in the Tricity Agglomeration, W: 14th International Conference on Optical and Electronic Sensors, 2016, SPIE CCC,.
DOI:
Digital Object Identifier (open in new tab) 10.1117/12.2244679
Verified by:
Gdańsk University of Technology

seen 117 times

Recommended for you

Meta Tags