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

Eun-Min Cho, Hyung Jin Jeon, Dan Ki Yoon, Si Hyun Park, Hyung Jin Hong, Kil Yong Choi, Heun Woo Cho, Hyo Chang Cheon and Cheol Min Lee
Additional contact information
Eun-Min Cho: Department of Applied Chemistry, College of Applied Science, Kyung Hee University, Yongin 17104, Korea
Hyung Jin Jeon: Korea Environmental Information Center, Korea Environment Institute, Bldg B, 370 Sicheong-daero, Sejong-si 30147, Korea
Dan Ki Yoon: Institute of Risk Assessment, Department of Chemical & Biological Engineering, Seokyeong University, 124 Seogyeong-ro, Seongbuk-gu, Seoul 02173, Korea
Si Hyun Park: Institute of Risk Assessment, Department of Chemical & Biological Engineering, Seokyeong University, 124 Seogyeong-ro, Seongbuk-gu, Seoul 02173, Korea
Hyung Jin Hong: Institute of Risk Assessment, Department of Chemical & Biological Engineering, Seokyeong University, 124 Seogyeong-ro, Seongbuk-gu, Seoul 02173, Korea
Kil Yong Choi: Institute of Risk Assessment, Department of Chemical & Biological Engineering, Seokyeong University, 124 Seogyeong-ro, Seongbuk-gu, Seoul 02173, Korea
Heun Woo Cho: E-Three. Co., Ltd, B-309, Woolim Blue 9 Business Center, Yangcheon-ro 583, Gangseo-gu, Seoul 07547, Korea
Hyo Chang Cheon: E-Three. Co., Ltd, B-309, Woolim Blue 9 Business Center, Yangcheon-ro 583, Gangseo-gu, Seoul 07547, Korea
Cheol Min Lee: Institute of Risk Assessment, Department of Chemical & Biological Engineering, Seokyeong University, 124 Seogyeong-ro, Seongbuk-gu, Seoul 02173, Korea

IJERPH, 2019, vol. 16, issue 8, 1-10

Abstract: 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

Keywords: low-cost sensors; sensor evaluation; fine dust; particle pollutants; statistical analysis (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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