Comparative analysis of systems and methods for monitoring particulate pollution

A.I. Riabous, K.Z. Biliatdinov, V.A. Lepikhova

Abstract


Determination of the concentration and dispersed composition of particulate matter pollution is one of the tasks to ensure occupational safety in industry and construction. This review includes the most relevant and applied methods for monitoring the concentration of particulate air pollution.

The methods are reviewed according to the following algorithm. First, there is a brief description of the method operation, highlighting its main idea. After that, a theoretical justification of the method with the basic formulas is given. The next step is to describe a typical monitoring system using this method, highlighting the key elements. After that, the dust measurement process is described step by step. In conclusion, the effectiveness of each method is described, including the scope of its application, accuracy, key differences from other methods and the main disadvantages or features that require some special attention.

The following five methods are considered: (1) beta-attenuation method, (2) laser scattering method, (3) method that uses Tapered Element Oscillating Microbalance (TEOM), (4) acoustic method based on the theory of ultrasonic attenuation, (5) acoustic method based on the principles of acoustic emission. Monitoring systems based on these methods are used to determine dust concentrations in industries, construction, mines and other occupational safety tasks. However, in the dust monitoring task the method based on the principles of acoustic emission is of interest. This method determines the concentration of dust, as well as its dispersed composition in real time. Since the other methods considered do not provide analysis of dust dispersed composition along with concentration, the acoustic emission-based method deserves further development and practical implementation.


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References


Liu, T., & Liu, S. (2020). The impacts of coal dust on miners’ health: A review. Environmental Research, 109849. doi:10.1016/j.envres.2020.109849

Wu, Z., Zhang, X., & Wu, M. (2016). Mitigating construction dust pollution: state of the art and the way forward. Journal of Cleaner Production, 112, 1658–1666. doi:10.1016/j.jclepro.2015.01.015

Cheriyan, D., & Choi, J. (2020). A review of research on particulate matter pollution in the construction industry. Journal of Cleaner Production, 120077. doi:10.1016/j.jclepro.2020.120077

Flynn, M. R., & Susi, P. (2003). Engineering Controls for Selected Silica and Dust Exposures in the Construction Industry -- A Review. Applied Occupational and Environmental Hygiene, 18(4), 268–277. doi:10.1080/10473220301406

Maks, A., & Zagorodnov, M. (2013). 3 Fractional and chemical composition of dust in the working area of machine building enterprise. Occupational and Environmental Medicine, 70, A1 - A2. https://doi.org/10.1136/oemed-2013-101717.3.

Wireless Sensor Network-based Air Quality Monitoring System // Samer Mansour, Nidal Nasser et al. / 2014 International Conference on Computing, Networking and Communications, Wireless Ad Hoc and Sensor Networks Symposium, 2014, pp. 545-550.

Xin Wang, Longquan Ma, Huizhong Yang Online Water Monitoring System Based on ZigBee and GPRS / Procedia Engineering, No. 15 (2011) pp. 2680 – 2684

A Real-Time Monitoring System of Industry Carbon Monoxide Based on Wireless Sensor Networks // Jiachen Yang 1, Jianxiong Zhou et al. / Sensors 2015, No. 15

Respirable Dust Monitoring in Construction Sites and Visualization in Building Information Modeling Using Real-time Sensor Data // Nour Smaoui, Kyungki Kim et al. / Sensors and Materials, Vol. 30, No. 8 (2018) pp. 1775–1786

Low-cost Wireless Dust Monitoring System // Uglješa Z. Jovanoviс, Igor D. Jovanoviс et al. / Serbia, Nis, October 16-19, 2013, pp. 635-638

Wastewater quality monitoring //Olivier Thomas, Frederic Theaulaz et al. / trends in analytical chemistry, vol. 16, no. 7, 1997, pp. 419-424.

Xusong Qin, Furong Gao, Guohua Chen Wastewater quality monitoring system using sensor fusion and machine learning techniques / Water Research, December 2011, pp. 7

Yu, X., Shi, Y., Wang, T., & Sun, X. (2017). Dust-concentration measurement based on Mie scattering of a laser beam. PLoS ONE, 12. https://doi.org/10.1371/journal.pone.0181575.

Zhang, Y., Lou, W., & Liao, M. (2018). Research on Dust Concentration Measurement Technique Based on the Theory of Ultrasonic Attenuation. Journal of Physics: Conference Series, 986. https://doi.org/10.1088/1742-6596/986/1/012026.

Evtushenko, S., Lyepikhova, V., Lyashenko, A., & Riabous, A. (2022). FEATURES OF THE ACOUSTIC SIGNAL IN THE CONTINUOUS MONITORING OF DUST IN THE PRODUCTION OF BUILDING MATERIALS. Construction and Architecture. https://doi.org/10.29039/2308-0191-2022-10-4-116-120.

Ruey-Hung Chen A Review of Acoustic Detection of Supermicrometer Aerosol Particles. / International Journal of Microscale and Nanoscale Thermal / Volume 3, Number 3, 2012 Nova Science Publishers, Inc.

RYSZARD J. PAŁCZYŃSKI, ANNA B. ZWOŹDZIAK Air particulate mass monitoring with a beta radiation detector / Environment Protection Engineering Vol. 5, №1, 1979

Kritika Shukla, Shankar G. Aggarwal A Technical Overview on Beta-Attenuation Method for the Monitoring of Particulate Matter in Ambient Air / Aerosol and Air Quality Research, Volume 22, Issue 12, 2022

Zhang, H., Nie, W., Liang, Y., Chen, J., & Peng, H. (2021). Development and performance detection of higher precision optical sensor for coal dust concentration measurement based on Mie scattering theory. Optics and Lasers in Engineering, 144, 106642.

Yu, X., Shi, Y., Wang, T., & Sun, X. (2017). Dust-concentration measurement based on Mie scattering of a laser beam. PLOS ONE, 12(8), e0181575. doi:10.1371/journal.pone.0181575

Huang, X. Q., Lepiller, V., Bailly, Y., Guermeur, F., & Hervé, P. (2012). Particle sizing and velocity measurement of microspheres from the analysis of polarization of the scattered light. Optics and Lasers in Engineering, 50(1), 57–63. doi:10.1016/j.optlaseng.2011.07.0

Patashnick, H., & Rupprecht, E. G. (1991). Continuous PM-10 Measurements Using the Tapered Element Oscillating Microbalance. Journal of the Air & Waste Management Association, 41(8), 1079–1083. doi:10.1080/10473289.1991.1046690

Ruppecht, E., Meyer, M., & Patashnick, H. (1992). The tapered element oscillating microbalance as a tool for measuring ambient particulate concentrations in real time. Journal of Aerosol Science, 23, 635–638. doi:10.1016/0021-8502(92)90492-e

Guo, M. R., Lou, W. Z., Ren, L. N., & Lu, Y. F. (2014). A Novel System for Fine Particle Concentration Measurement. Advanced Materials Research, 901, 29–33. doi:10.4028/www.scientific.net/amr.901.29

Victoria A. Lepikhova, Nadegda V. Lyashenko, Elena A. Yakovenko, Sergey G. Shestak, and Andrey Yu. Ryabous "Mathematical and software support for experimental work and algorithms for vibroacoustic diagnostics", Proc. SPIE 12251, Computer Applications for Management and Sustainable Development of Production and Industry (CMSD2021), 122510C (17 May 2022); https://doi.org/10.1117/12.2630929

V A Lepikhova, N V Lyashenko, E A Yakovenko, A V Vyaltsev and A Yu Ryabous Choice of method for determining the concentration and fractional composition of dust and gas flow / March 2023 IOP Conference Series Earth and Environmental Science 1154(1):012046 DOI:10.1088/1755-1315/1154/1/012046


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