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Reliability of Low-Cost, Sensor-Based Fine Dust Measurement Devices for Monitoring Atmospheric Particulate Matter Concentrations

Currently, low-cost, sensor-based fine dust measurement devices are commercially available in South Korea. This study evaluated the reliability of three such devices—Yi Shan A4, Plantower PMS7003, and Plantower PMS7003—in comparison to long-term consecutive monitoring systems for discharge and preve...

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Autores principales: Cho, Eun-Min, Jeon, Hyung Jin, Yoon, Dan Ki, Park, Si Hyun, Hong, Hyung Jin, Choi, Kil Yong, Cho, Heun Woo, Cheon, Hyo Chang, Lee, Cheol Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6518220/
https://www.ncbi.nlm.nih.gov/pubmed/31013626
http://dx.doi.org/10.3390/ijerph16081430
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author Cho, Eun-Min
Jeon, Hyung Jin
Yoon, Dan Ki
Park, Si Hyun
Hong, Hyung Jin
Choi, Kil Yong
Cho, Heun Woo
Cheon, Hyo Chang
Lee, Cheol Min
author_facet Cho, Eun-Min
Jeon, Hyung Jin
Yoon, Dan Ki
Park, Si Hyun
Hong, Hyung Jin
Choi, Kil Yong
Cho, Heun Woo
Cheon, Hyo Chang
Lee, Cheol Min
author_sort Cho, Eun-Min
collection PubMed
description Currently, low-cost, sensor-based fine dust measurement devices are commercially available in South Korea. This study evaluated the reliability of three such devices—Yi Shan A4, Plantower PMS7003, and Plantower PMS7003—in comparison to long-term consecutive monitoring systems for discharge and prevention facilities regarding fine dust control. The performance of these devices for concentration intervals over time was examined through real-time comparison using a GRIMM (Model: 11-A, dust spectrometer from Grimm Technologies) as a reference; this included a correction factor (C-Factor), calculated by a gravimetric method and an equivalence test. For comparison, the reference and target devices were installed in a chamber with fine dust concentrations of 2 µg/m(3), with temperature and humidity maintained at 20 °C and 40%, respectively. The fine particulate matter (PM)(2.5) concentrations were classified into five intervals: ≤40 µg/m(3), 40–80 µg/m(3), 80–120 µg/m(3), 120–160 µg/m(3), and 200–230 µg/m(3). Statistical analysis was performed using data obtained from national stations for monitoring and controlling fine dust released from facilities under high fine dust loading conditions. The results showed that the measurements of all target devices, which were corrected according to the reference device, provided accurate values at PM(2.5) concentrations of ≥40 µg/m(3). The statistical analysis results suggest that the evaluated devices are more reliable than the conventional numerical-analysis-based monitoring system
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spelling pubmed-65182202019-05-31 Reliability of Low-Cost, Sensor-Based Fine Dust Measurement Devices for Monitoring Atmospheric Particulate Matter Concentrations Cho, Eun-Min Jeon, Hyung Jin Yoon, Dan Ki Park, Si Hyun Hong, Hyung Jin Choi, Kil Yong Cho, Heun Woo Cheon, Hyo Chang Lee, Cheol Min Int J Environ Res Public Health Technical Note Currently, low-cost, sensor-based fine dust measurement devices are commercially available in South Korea. This study evaluated the reliability of three such devices—Yi Shan A4, Plantower PMS7003, and Plantower PMS7003—in comparison to long-term consecutive monitoring systems for discharge and prevention facilities regarding fine dust control. The performance of these devices for concentration intervals over time was examined through real-time comparison using a GRIMM (Model: 11-A, dust spectrometer from Grimm Technologies) as a reference; this included a correction factor (C-Factor), calculated by a gravimetric method and an equivalence test. For comparison, the reference and target devices were installed in a chamber with fine dust concentrations of 2 µg/m(3), with temperature and humidity maintained at 20 °C and 40%, respectively. The fine particulate matter (PM)(2.5) concentrations were classified into five intervals: ≤40 µg/m(3), 40–80 µg/m(3), 80–120 µg/m(3), 120–160 µg/m(3), and 200–230 µg/m(3). Statistical analysis was performed using data obtained from national stations for monitoring and controlling fine dust released from facilities under high fine dust loading conditions. The results showed that the measurements of all target devices, which were corrected according to the reference device, provided accurate values at PM(2.5) concentrations of ≥40 µg/m(3). The statistical analysis results suggest that the evaluated devices are more reliable than the conventional numerical-analysis-based monitoring system MDPI 2019-04-22 2019-04 /pmc/articles/PMC6518220/ /pubmed/31013626 http://dx.doi.org/10.3390/ijerph16081430 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Technical Note
Cho, Eun-Min
Jeon, Hyung Jin
Yoon, Dan Ki
Park, Si Hyun
Hong, Hyung Jin
Choi, Kil Yong
Cho, Heun Woo
Cheon, Hyo Chang
Lee, Cheol Min
Reliability of Low-Cost, Sensor-Based Fine Dust Measurement Devices for Monitoring Atmospheric Particulate Matter Concentrations
title Reliability of Low-Cost, Sensor-Based Fine Dust Measurement Devices for Monitoring Atmospheric Particulate Matter Concentrations
title_full Reliability of Low-Cost, Sensor-Based Fine Dust Measurement Devices for Monitoring Atmospheric Particulate Matter Concentrations
title_fullStr Reliability of Low-Cost, Sensor-Based Fine Dust Measurement Devices for Monitoring Atmospheric Particulate Matter Concentrations
title_full_unstemmed Reliability of Low-Cost, Sensor-Based Fine Dust Measurement Devices for Monitoring Atmospheric Particulate Matter Concentrations
title_short Reliability of Low-Cost, Sensor-Based Fine Dust Measurement Devices for Monitoring Atmospheric Particulate Matter Concentrations
title_sort reliability of low-cost, sensor-based fine dust measurement devices for monitoring atmospheric particulate matter concentrations
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6518220/
https://www.ncbi.nlm.nih.gov/pubmed/31013626
http://dx.doi.org/10.3390/ijerph16081430
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