Performance Evaluation of Low-Cost Particulate Matter Sensors for PM2.5 and PM10 Measurement
Keywords:
Low-cost particulate matter sensors, Particulate matter, Light scatteringAbstract
This paper presents the performance evaluation of low-cost particulate matter sensors (LCPMS) using light scattering technique. By creating a device for controlling sensors and measuring particulate matter with diameter of less than 2.5 microns (PM2.5) and 10 microns (PM10) for high- and low-concentration environments in a test chamber and for comparing with the average PM2.5 and PM10 of 1-hour and 24-hour continuous of Pollution Control Department (BAM1020) in February to June 2022. From the PM2.5 and PM10 results, it was found that LCPMS and BAM1020 are very strong correlation in the perfect positive. Correlation coefficient square () and measurement error () are decreased by decreasing sampler time of LCPMS detection. The average PM2.5 of 24-hour continuous of LCPMS_5 is very strong correlation with BAM1020 by = 0.7786 and = 20.35. The average PM10 of 24-hour continuous of LCPMS_1 is very strong correlation with BAM1020 by = 0.8662 and = 13.53.
References
J. Wang, M. Zhang, X. Bai, H. Tan, S. Li, J. Liu, R. Zhang, M. A. Wolters, X. Qin, M. Zhang, H. Lin et al., “Large-scale transport of PM2.5 in the lower troposphere during winter cold surges in China,” Scientific Reports, vol. 7, Oct. 2017, Art. no. 13238, doi: 10.1038/s41598-017-13217-2.
G. Kallos, M. Astitha, P. Katsafados, and C. Spyrou, “Long-Range Transport of Anthropogenically and Naturally Produced Particulate Matter in the Mediterranean and North Atlantic: Current State of Knowledge,” Journal of Applied Meteorology and Climatology, vol. 46, no. 8, pp. 1230–1251, 2007, doi: 10.1175/JAM2530.1.
C. -W. Chen, Y. -S. Tseng, A. Mukundan and H. -C. Wang, “Air Pollution: Sensitive Detection of PM2.5 and PM10 Concentration Using Hyperspectral Imaging,” Applied Sciences, vol. 11, no. 10, 2021, Art. No. 4543, doi: 10.3390/app11104543.
J. Núñez, Y. Wang, S. Bäumer and A. Boersma, “Inline Infrared Chemical Identification of Particulate Matter,” Sensors, vol. 20, no. 15, 2020, Art. no. 4193, doi: 10.3390/s20154193.
Air Quality and Noise Management Division, “Standard of general particulate matter in air of Thailand,” in Manual of Measuring Particulate Matter in Air, Bangkok, Thailand: PCD. MNRE, 2003, ch. 2, sec. 2.2, pp. 4–6. [Online]. Available: https://www.pcd.go.th/publication/4702. (in Thai)
Y. Wang, W. Yang, B. Han, W. Zhang, M. Chen and Z. Bai, “Gravimetric analysis for PM2.5 mass concentration based on year-round monitoring at an urban site in Beijing,” Journal of Environmental Sciences, vol. 40, pp. 154–160, 2016, doi: 10.1016/j.jes.2015 .09.015.
Q.-F. Li, L. Wang-Li, Z. Liu and A. J. Heber, “Field evaluation of particulate matter measurements using tapered element oscillating microbalance in a layer house,” Journal of the Air & Waste Management Association, vol. 62, no. 3, pp. 322–335, 2012, doi: 10.1080/ 10473289.2011.650316.
J. D. Wanjura, B. W. Shaw, C. B. Parnell, R. E. Lacey, S. C. Capareda, “Comparison of Continuous Monitor (TEOM) and Gravimetric Sampler Particulate Matter Concentrations,” American Society of Agricultural and Biological Engineers (ASABE), vol. 51, no. 1, pp. 251–257, 2008, doi: 10.13031/2013.24218.
P. L. Rocca and F. Riggi, “Absorption of beta particles in different materials: an undergraduate experiment,” European Journal of Physics, vol. 30, no. 6, pp. 1417–1425, 2009, doi: 10.1088/ 0143-0807/30/6/019.
Ambient air – Measurement of the mass of particulate matter on a filter medium – Beta-ray absorption method, ISO 10473, 2000.
S. A. Pozza, E. P. Lima, T. T. Comin, M. L. Gimenes and J. R. Coury, “Time series analysis of PM2.5 and PM10-2.5 mass concentration in the city of Sao Carlos, Brazil,” International Journal of Environment and Pollution, vol. 41, no. 1–2, pp. 90–108, 2010.
N. Poor, T. Clark, L. Nye, T. Tamanini, K. Tate, R. Stevens and T. Atkeson, “Field performance of dichotomous sequential PM air samplers,” Atmo-spheric Environment, vol. 36, no. 20, pp.3289–3298, 2002, doi:10.1016/S1352-2310(02)00304-7.
C. Giglioni and A. Natali, “Laser scattering methodology for measuring particulates in the air,” Conservation Science in Cultural Heritage, vol. 9, no. 1, pp. 157–169, 2009, 10.6092/issn.1973-9494/1748.
R. T. H. Collis and E. E. Uthe, “Mie scattering techniques for air pollution measurement with lasers,” Optical and Quantum Electronics, vol. 4, pp. 87–99, 1972, doi: 10.1007/ BF01421174.
B. Alfano, L. Barretta, A. D. Giudice, S. De Vito, Girolamo D. Francia, E. Esposito, F. Formisano, E. Massera, M. L. Miglietta and T. Polichetti, “A Review of Low-Cost Particulate Matter Sensors from the Developers’ Perspectives,” Sensors, vol. 20, no. 23, 2020, Art. No. 6819, doi:10.3390/s20236819.
M. Tagle, F. Rojas, F. Reyes, Y. Vásquez, F. Hallgren, J. Lindén, D. Kolev, Å. K. Watne and P. Oyola, “Field performance of a low-cost sensor in the monitoring of particulate matter in Santiago, Chile,” Environmental Monitoring and Assessment, vol. 192, no. 171, 2020, doi: 10.1007/s10661-020-8118-4.
T. Zheng, M. H. Bergin, K. K. Johnson, S. N. Tripathi, S. Shirodkar, M. S. Landis, R. Sutaria and D. E. Carlson, “Field evaluation of low-cost particulate matter sensors in high- and low-concentration environments,” Atmospheric Measurement Techniques, vol. 11, no. 8, pp. 4823–4846, 2018, doi: 10.5194/amt-11-4823-2018.
M. Badura, P. Batog, A. Drzeniecka-Osiadacz and P. Modzel, “Evaluation of Low-Cost Sensors for Ambient PM2.5 Monitoring,” Journal of Sensors, vol. 2018, Article no. 5096540, doi: 10.1155/2018/5096540.x
SDS011 sensor, Nova Fitness Co., Ltd., Oct. 9, 2015. [Online]. Available: https://cdn-reichelt.de/documents/datenblatt/X200/SDS011-DATASHEET.pdf.
ZH03B Particles Sensor PM2.5 Dust Sensor, Zhengzhou Winsen Electronics Technology Co., Ltd., 2019. [Online]. Available: https://www.winsen-sensor.com /sensors/dust-sensor/zh3b.html.
T. Chalida (2015) Correlation and Regression Analysis [Online]. Available: http://pws.npru.ac.th/chalida/data/files/บทที่%208สหสัมพันธ์และการถดถอย.pdf.
S. Wijitwanna, “Correlation in Statistics: How to Use,” Journal of Humanities and Social Sciences, vol. 8, no. 2, pp. 1–15, 2022.
Y. Wei, X. Qiu, M. D. Yazdi, A. Shtein, L. Shi, J. Yang, A. A. Peralta, B. A. Coull and J. D. Schwartz, “The Impact of Exposure Measurement Error on the Estimated Concentration Response Relationship between Long-Term Exposure to PM25 and Mortality,” Environmental Health Perspectives, vol. 130, no. 7, Art. no. 077006, July 2022, doi: 10.1289/EHP10389.
Thailand's air quality Information, Pollution Control Department, Bangkok, Thailand, Nov. 30, 2022. [Online]. Available: http://air4thai.pcd.go.th/webV2/history/.
M. Zead, P. Biswas, S. Ghosh, Md. T. H. Maruf, Md. Shehzad, Md. I. Hasan and S. R. Shoshi, “Design and Implementation of Temperature & Relative Humidity Control System for Poultry Farm,” in 2020 International Conference on Computational Perfor-mance Evaluation (ComPE), Shillong, India, Jul. 2–4, 2020, pp. 90–108, doi: 10.1109/ComPE49325.2020. 9200032.
Vissavavit Rachnarong, “A Study of Air Quality Effect by Creating a Device Detect PM2.5, TVOC and CO2-eq,” Journal of Engineering and Digital Technology (JEDT), vol. 9, no. 2, pp. 37–48, 2021. (in Thai)
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Faculty of Engineering, King Mongkut’s Institute of Technology Ladkrabang
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The published articles are copyrighted by the School of Engineering, King Mongkut's Institute of Technology Ladkrabang.
The statements contained in each article in this academic journal are the personal opinions of each author and are not related to King Mongkut's Institute of Technology Ladkrabang and other faculty members in the institute.
Responsibility for all elements of each article belongs to each author; If there are any mistakes, each author is solely responsible for his own articles.