Monitoring of odor nuisance in the tri-city agglomeration

J. Gębicki, T. Dymerski, J. Namieśnik
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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.
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三城市群气味滋扰监测
本文介绍了正在设计的三城市群恶臭危害监测网络的工作原理。此外,它还介绍了对城市垃圾填埋场附近环境空气质量有关气味滋扰的初步调查结果。调查在春冬季节使用电子鼻原型和鼻游骑兵现场嗅觉计进行。原型机配备了一套由费加罗公司生产的6个半导体传感器和一个pid型传感器。使用现场嗅觉计测定气味剂的平均浓度,根据测量地点的不同,平均浓度为2.2至30.2 ou/m3。在使用电子鼻原型进行调查的情况下,利用交叉验证方法支持的kNN算法对采样地点的环境空气样本进行分类。环境空气样本分类正确率为66.7%。进行的调查显示,环境空气样品的不同浓度的气味剂和原产地的区别是可能的。
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