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Field comparison of electrochemical gas sensor data correction algorithms for ambient air measurements
Liang, Yue1,2,3,4; Wu, Cheng1,2,3,4; Jiang, Shutong5; Li, Yong Jie6; Wu, Dui1,3,4,7; Li, Mei1,3,4; Cheng, Peng1,3,4; Yang, Wenda1,3,4; Cheng, Chunlei1,3,4; Li, Lei1,3,4; Deng, Tao7; Sun, Jia Yin1,3,4; He, Guowen1,3,4; Liu, Ben6; Yao, Teng4,8; Wu, Manman9; Zhou, Zhen1,3,4
2021-01-15
Source PublicationSENSORS AND ACTUATORS B-CHEMICAL
ISSN0925-4005
Volume327Pages:128897
Abstract

Electrochemical gas sensors (ECGS) have gained substantial popularity in ambient measurements. Several data correction algorithms had been proposed to tackle the drifting response of ECGS due to environmental factors, but there is a lack of performance evaluation of these data correction schemes. To fill this knowledge gap, we conduct a comprehensive evaluation of these data correction algorithms using a large dataset from field comparisons. The dataset covered three commonly used gas pollutants, including CO, NO and O measured by both ECGS and reference instruments, with a time resolution of 1 min and a duration of 6 months. Taking advantage of this large dataset, the performance of 8 different data correction schemes (2 new algorithms and 6 algorithms from the literature) was benchmarked by a set of evaluation metrics using raw signals from ECGS (nA level currents from the working and auxiliary electrodes). Eight scenarios were considered to examine the robustness of correction algorithms in response to different training and evaluation data period configurations. In addition, the bias dependence on temperature, RH, target gas levels and cross-sensitivity by different correction algorithms was investigated. Recommendations on data correction scheme selection are provided based on the comparison results.

KeywordAir Pollution Measurements Data Correction Algorithm Evaluation Electrochemical Gas Sensors Low-cost Sensors
DOI10.1016/j.snb.2020.128897
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaChemistry ; Electrochemistry ; Instruments & Instrumentation
WOS SubjectChemistry, Analytical ; Electrochemistry ; Instruments & Instrumentation
WOS IDWOS:000591675400007
Scopus ID2-s2.0-85091223815
Fulltext Access
FWCI3.2418733
Citation statistics
Document TypeJournal article
CollectionDEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING
Corresponding AuthorWu, Cheng
Affiliation1.Institute of Mass Spectrometry and Atmospheric Environment, Jinan University, Guangzhou, 510632, China
2.State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
3.Guangdong Provincial Engineering Research Center for On-Line Source Apportionment System of Air Pollution, Guangzhou, 510632, China
4.Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 510632, China
5.Shenzhen Soarability Technologies Co., Ltd., Shenzhen, 518057, China
6.Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, Taipa, Macao
7.Institute of Tropical and Marine Meteorology, CMA, Guangzhou, 510080, China
8.Division of Environment & Sustainability, Hong Kong University of Science and Technology, Hong Kong
9.Guangzhou Hexin Analytical Instrument Limited Company, Guangzhou, 510530, China
Recommended Citation
GB/T 7714
Liang, Yue,Wu, Cheng,Jiang, Shutong,et al. Field comparison of electrochemical gas sensor data correction algorithms for ambient air measurements[J]. SENSORS AND ACTUATORS B-CHEMICAL,2021,327:128897.
APA Liang, Yue,Wu, Cheng,Jiang, Shutong,Li, Yong Jie,Wu, Dui,Li, Mei,Cheng, Peng,Yang, Wenda,Cheng, Chunlei,Li, Lei,Deng, Tao,Sun, Jia Yin,He, Guowen,Liu, Ben,Yao, Teng,Wu, Manman,&Zhou, Zhen.(2021).Field comparison of electrochemical gas sensor data correction algorithms for ambient air measurements.SENSORS AND ACTUATORS B-CHEMICAL,327,128897.
MLA Liang, Yue,et al."Field comparison of electrochemical gas sensor data correction algorithms for ambient air measurements".SENSORS AND ACTUATORS B-CHEMICAL 327(2021):128897.
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