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http://dx.doi.org/10.11629/jpaar.2020.16.2.031

A study on the monitoring of high-density fine particulate matters using W-station: Case of Jeju island  

Lee, Jong-Won (Observer)
Park, Moon-Soo (Research Center for Atmospheric Environment, Hankuk University of Foreign Studies)
Won, Wan-Sik (School of Mechanical and Aerospace Engineering, Nanyang Technological University)
Son, Seok-Woo (School of Earth and Environmental Sciences, Seoul National University)
Publication Information
Particle and aerosol research / v.16, no.2, 2020 , pp. 31-47 More about this Journal
Abstract
Although interest in air quality has increased due to the frequent occurrence of high-concentration fine particulate matter recently, the official fine particulate matter measuring network has failed to provide spatial detailed air quality information. This is because current measurement equipment has a high cost of installation and maintenance, which limits the composition of the measuring network at high resolution. To compensate for the limitations of the current official measuring network, this study constructed a spatial high density measuring network using the fine particulate matter simple measuring device developed by Observer, W-Station. W-Station installed 48 units on Jeju Island and measured PM2.5 for six months. The data collected in W-Station were corrected by applying the first regression equation for each section, and these measurements were compared and analyzed based on the official measurements installed in Jeju Island. As a result, the time series of PM2.5 concentrations measured in W-Station showed concentration characteristics similar to those of the environmental pollution measuring network. In particular, the results of comparing the measurements of W-Station within a 2 km radius of the reference station and the reference station showed that the coefficient of determination (R2) was 0.79, 0.81, 0.67, respectively. In addition, for W-Station within a 1 km radius, the coefficient of determination was 0.85, 0.82, 0.68, respectively, showing slightly higher correlation. In addition, the local concentration deviation of some regions could be confirmed through 48 high density measuring networks. These results show that if a network of measurements is constructed with adequate spatial distribution using a number of simple meters with a certain degree of proven performance, the measurements are effective in monitoring local air quality and can be fully utilized to supplement or replace formal measurements.
Keywords
$PM_{2.5}$; Low-cost sensor network; Air quality monitoring; Air pollution; Jeju island;
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1 Kumar, P., Morawska, L., Martani, C., Biskos, G., Neophytou, M., Sabatino, S. D., Bell M., Norford, L., and Britterl, R. (2015). The rise of low-cost sensing for managing air pollution in cities, Environment International, 75, 199-205.   DOI
2 Liu, X., Gu, J., Li, Y., Cheng, Y., Qu, Y., Han, T., Wang, J., Tian, H., Chen, J., and Zhang, Y. (2013). Increase of aerosol scattering by hygroscopic growth: Observation, modeling, and implications on visibility, Atmospheric Research, 132, 91-101.   DOI
3 Marco, S. (2014). The need for external validation in machine olfaction: emphasis on health-related applications, Analytical Bioanal Chemistry, 406, 3941-3956.   DOI
4 Mead, M.I., Popoola, O.A.M., Stewart, G.B., Landshoff, P., Calleja, M., Hayes, M., Bal25 dovi, J.J., McLeod, M.W., Hodgson, T.F., Dicks, J., Lewis, A., Cohen, J., Baron, R., Saffell, J.R., and Jones, R.L. (2013). The use of electrochemical sensors for monitoring urban air quality in low-cost, high-density networks, Atmospheric Environment, 70, 186-203.   DOI
5 Moltchanov, S., Levy, I., Etzion, Y., Lerner, U., Broday, D.M., and Fishbain, B. (2015). On the feasibility of measuring urban air pollution by wireless distributed sensor networks, Science of the Total Environment, 502, 537-547.   DOI
6 Park, M.-S., and Chae, J.-H. (2018). Features of sea-land-breeze circulation over the Seoul Metropolitan Area, Geoscience Letters, 5, 28.   DOI
7 Park, S.S., Kim, Y.J., Lee, K.W., Chun, K.J., Lee, J.Y., Lim, Y.S., and Han, J.S. (2001). Development of an automatic Beta gauge particulate sampler with filter cassette mechanism, Aerosol Science and Technology, 35, 844-851.   DOI
8 Ropkins, K. and Colvile, R.N. (2000). Critical review of air quality monitoring technologies for urban traffic management and control (UTMC) systems, Urban Traffic Management & Control (UK).
9 Snyder, E.G., Watkins, T.H., Solomon, P.A., Thoma, E.D., Williams, R.W., Hagler, G.S.W., Shelow, D., Hindin, D.A., Kilaru, V.J., and Preuss, P.W. (2013). The changing paradigm of air pollution monitoring, Environmental Science and Technology, 47(20), 11369-11377.   DOI
10 Wang, Y., Li, J., Jing, H., Zhang, Q., Jiang, J., and Biswas, P. (2015). Laboratory evaluation and calibration of three low-cost particle sensors for particulate matter measurement, Aerosol Science and Technology, 49(11), 1063-1077.   DOI
11 Wedding, J.B., and Weigand, M.A. (1993). An automatic particle sampler with Beta gauging, Journal of Air & Waste Management Association, 43, 475-479.   DOI
12 World Health Organization. (2000). The World Health Report 2000: Health systems: improving performance.
13 World Health Organization. (2019). Health impact of ambient air pollution in Serbia.
14 Yoon, S.S., and Lee, B. (2017). Effects of using high-density rain gauge networks and weather radar data on urban hydrological analyses, Water, 9, 931.   DOI
15 Jemin's Daily, http://www.jemin.com/news/articleView.html?idxno=586079
16 Yu, C.H., Fan, Z., Lioy, P.J., Baptista, A., Greenberg, M., and Laumbach, R.J. (2016). A novel mobile monitoring approach to characterize spatial and temporal variation in traffic-related air pollutants in an urban community, Atmospheric Environment, 141, 161-173.   DOI
17 Zheng, T., Bergin, M.H., Johnson, K. K., Tripathi, S.N., Shirodkar, S., Landis, M.S., Sutaria, R., and Carlson, D.E. (2018). Field evaluation of low-cost particulate matter sensors in high- and low-concentration environments, Atmospheric Measurement Techniques, 11(8), 4823-4846.   DOI
18 The Ministry of Environment (2018). Guidelines for the installation and operation of air pollution measuring network.
19 Badura, M., Batog, P., Drzeniecka-Osiadacz, A., and Modzel, P. (2018). Evaluation of low-cost sensors for ambient PM2.5 monitoring, Journal of Sensors, 2018, 5096540.
20 Aleixandre, M., and Gerboles, M. (2012). Review of small commercial sensors for indicative monitoring of ambient gas, Chemical Engineering Transactions, 30, 169-174.
21 Barkjohn, K.K., Bergin, M.H., Norris, C., Schauer, J.J., Zhang, Y., Black, M., Hu, M., and Zhang, J. (2019). Using low-cost sensors to quantify the effects of air filtration on indoor and personal exposure relevant PM2.5 concentrations in Beijing, China, Aerosol and Air Quality Research, 20, 297-313.   DOI
22 Day, D.E., and Malm, W.C. (2001). Aerosol light scattering measurements as a function of relative humidity:A comparison between measurements made at three different sites, Atmospheric Environment, 35(30), 5169-5176.   DOI
23 Dempsey, J.C., and Polinshuk, P. (1966). Radioisotopes for Aerospace, Part 2,Plenum Press, New York, p. 203.
24 Gao, M., Cao J., and Seto, E. (2015). A distributed network of low-cost continuous reading sensors to measure spatiotemporal variations of PM2.5 in Xi'an, China, Environmental Pollution, 199, 56-65.   DOI
25 Hagler, G., Solomon, P., and Hunt, S. (2014). New technology for low-cost, real-time air monitoring. EM:Air and Waste Management Association's Magazine for Environmental Managers, Air & Waste Management Association: Pittsburgh, PA, USA.
26 Jovasevic-Stojanovic, M., Bartonova, A., Topalovic, D., Lazovic, I., Pokric, B., and Ristovski, Z. (2015). On the use of small and cheaper sensors and devices for indicative citizen-based monitoring of respirable particulate matter, Environmental Pollution, 206, 696-704.   DOI
27 Holstius, D.M., Pillarisetti, A., Smith, K.R., and Seto, E. (2014). Field calibrations of a low-cost aerosol sensor at a regulatory monitoring site in California, Atmospheric Measurement Techniques, 7, 1121-1131.   DOI
28 International Agency for Research on Cancer (2013). Agents Classified by the IARC Monographs, Volumes 1109.
29 Johnson, K.K., Bergin, M.H., Russell, A.G., and Hagler, G.S. (2018). Field test of several low-cost particulate matter sensors in high and low concentration urban environments, Aerosol and Air Quality Research, 18(3), 565-578.   DOI
30 Joo, H.S., Lee, S.M., Choi, J.W., Kim, C.Y., Choi, M.W., and Kim, K.W. (2019). Correlation Analysis of Fine Dust Concentration in China and Pollution between Korea and China, Korea Environment institute occasional research report, 5, 1-194.
31 Kamionka, M., Breuil, P., and Pijolat, C. (2006). Calibration of a multivariate gas sensing device for atmospheric pollution measurement. In Elsevier Sensors and Actuators B: Chemical, 118, 323-327.   DOI
32 Kang, D.S., Oh, J.E., Lee, S.Y., Shin, H.J., Bong, H.K., and Kim, D.S. (2018). Development and performance evaluation of a real-time PM monitor based on optical scattering method, Particle and Aerosol Research, 14, 107-119.   DOI
33 Kang, M., Park, M.-S. Chae, J.-H., Min, J.-S. Chung, B.Y., and Hang S.E. (2019). Effects of network density on gridded horizontal distribution of meteorological variables in the Seoul Metropolitan Area, Atmosphere, 29(2), 183-196.   DOI
34 Kim, J.S., Jang, Y.J., Kim, J.S., Park, M.W., Bu, C.J., Lee, Y.G., Kim, Y.H., and Woo, J.H. (2018). Evaluation of the usability of micro-sensors for the portable fine particle measurement, Environmental Impact Assessment Association, 27(4), 378-393.
35 Kelly, K.E., Whitaker, J., Petty, A., Widmer, C., Dybwad, A., Sleeth, D., Martin, R., and Butterfield, A. (2017). Ambient and laboratory evaluation of a low-cost particulate matter sensor, Environmental Pollution, 221, 491-500.   DOI
36 Kim, D.S., Cho, Y.K., and Yoon, Y.H. (2014). Development of a real-time monitoring device for measuring particulate matter, Particle and Aerosol Research, 10, 1-8.   DOI
37 Kim, H.C., Kim, S., Kim, B.U., Jin, C.S., Hong, S., Park, R., Son, S.W., Bae, C., Bae, M., Song, C.K., and Stein, A. (2017). Recent increase of surface particulate matter concentrations in the Seoul Metropolitan Area, Korea, Scientific Reports, 7, 4710.   DOI