Comparison of the measurement techniques employed for evaluation of ambient air odor quality

Wojciech Wojnowski, T. Majchrzak, J. Gębicki, T. Dymerski, J. Namieśnik
{"title":"Comparison of the measurement techniques employed for evaluation of ambient air odor quality","authors":"Wojciech Wojnowski, T. Majchrzak, J. Gębicki, T. Dymerski, J. Namieśnik","doi":"10.1117/12.2244678","DOIUrl":null,"url":null,"abstract":"The paper presents the results of investigation on ambient air odor quality in a vicinity of the industrial sewage treatment plant being a part of the crude oil processing plant. 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 20.2 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 the kNN (where k=3) algorithm supported with a cross-validation method. Correct classification of the ambient air samples was at the level of 47.9%. Performed investigation revealed that evaluation of the ambient air samples with respect to odor was possible using the electronic nose instrument.","PeriodicalId":101814,"journal":{"name":"Scientific Conference on Optical and Electronic Sensors","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Conference on Optical and Electronic Sensors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2244678","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The paper presents the results of investigation on ambient air odor quality in a vicinity of the industrial sewage treatment plant being a part of the crude oil processing plant. 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 20.2 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 the kNN (where k=3) algorithm supported with a cross-validation method. Correct classification of the ambient air samples was at the level of 47.9%. Performed investigation revealed that evaluation of the ambient air samples with respect to odor was possible using the electronic nose instrument.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
环境空气气味质量评价测量技术的比较
本文介绍了某原油加工厂所属工业污水处理厂附近环境空气气味质量的调查结果。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。使用现场嗅觉仪确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20.2 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(其中k=3)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47.9%。进行的调查显示,使用电子鼻仪器对环境空气样本的气味进行评估是可能的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Realization of a fiber optic sensor detecting the presence of a liquid Zirconia-based mixed potential sensor with Pt electrode prepared by spin-coating of polymeric precursor Techniques of acquiring additional features of the responses of individual gas sensors Extraction and evaluation of gas-flow-dependent features from dynamic measurements of gas sensors array Features extraction from the electrocatalytic gas sensor responses
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1