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http://dx.doi.org/10.5668/JEHS.2020.46.6.719

Analysis of the Fine Particulate Matter Particle Size Fraction Emitted from Facilities Using Solid Refuse Fuel  

You, Han-Jo (Gyeonggi Institute of Health and Environment in North Branch)
Jung, Yeon-Hoon (Gyeonggi Institute of Health and Environment in North Branch)
Kim, Jin-guil (Gyeonggi Institute of Health and Environment in North Branch)
Shin, Hyung-Soon (Gyeonggi Institute of Health and Environment in North Branch)
Lim, Yoon-Jung (Gyeonggi Institute of Health and Environment in North Branch)
Lee, Sang-Soo (Gyeonggi Institute of Health and Environment in North Branch)
Son, Hae-Jun (Gyeonggi Institute of Health and Environment in North Branch)
Lim, Sam-Hwa (Gyeonggi Institute of Health and Environment in North Branch)
Kim, Jong-Su (Gyeonggi Institute of Health and Environment in North Branch)
Publication Information
Journal of Environmental Health Sciences / v.46, no.6, 2020 , pp. 719-725 More about this Journal
Abstract
Objectives: With the growth of national interest in fine particulate matter, many complaints about pollutants emitted from air pollution emitting facilities have arisen in recent years. In particular, it is thought that a large volume of particulate pollutants are discharged from workplaces that use Solid Refuse Fuel (SRF). Therefore, particulate contaminants generated from SRF were measured and analyzed in this study in terms of respective particle sizes. Methods: In this study, particulate matter in exhaust gas was measured by applying US EPA method 201a using a cyclone. This method measures Filterable Particulate Matter (FPM), and does not consider the Condensable Particulate Matter (CPM) that forms particles in the atmosphere after being discharged as a gas in the exhaust gas. Results: The mass concentration of Total Suspended Particles (TSP) in the four SRF-using facilities was 1.16 to 11.21 mg/Sm3, indicating a very large concentration deviation of about 10 times. When the fuel input method was the continuous injection type, particulate matter larger than 10 ㎛ diameter showed the highest particle size fraction, followed by particulate matter smaller than 10 ㎛ and larger than 2.5 ㎛, and particulate matter of 2.5 ㎛ or less. Contrary to the continuous injection type, the batch injection type had the smallest particle size fraction of particulate matter larger than 10 ㎛. The overall particulate matter decreased as the operating load factor decreased from 100% to 60% at the batch input type D plant. In addition, as incomplete combustion significantly decreased, the particle size fraction also changed significantly. Both TSP and heavy metals (six items) satisfied the emissions standards. The measured value of the emission factor was 38-99% smaller than the existing emissions factor. Conclusions: In the batch injection facility, the particulate matter decreased as the operating load factor decreased, as did the particle size fraction of the particulate matter. These results will help the selection of effective methods such as reducing the operating load factor instead of adjusting the operating time during emergency reduction measures.
Keywords
Particulate matter (PM); Solid Refuse Fuel (SRF); operating load-factor; heavy metals; emission factor;
Citations & Related Records
Times Cited By KSCI : 8  (Citation Analysis)
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1 World Health Organization (WHO). Guideline for air quality. 2000.
2 Yoon DK, Namgoung SJ, Kong HK, Hong HJ, Lim HB, Park SH, et al. Assessment of exposure to and risk of formaldehyde and particulate matter (PM10 and PM2.5) by time activity applying real-time indoor and outdoor monitoring. J Environ Health Sci. 2019; 45(6): 646-657.   DOI
3 Shin DW, Joo HS, Lee GE. A survey on the people's consciousness of particulate matter. Korea Environment Institute. 2019; KEI Focus. 45.
4 Kang DE, Jang KW, Lim SY, Heo SH, Kim DG, Kang JG, et al. A study on the management plan for the reduction of the fine particulate matter from solid refuse fuel manufacturing and using facilities. National Institute of Environmental Research. 2017.
5 Korea Environment Corporation. Manufacturing, use, and import status of solid fuel products (as of the end of June 2019). Https://www.srf-info.or.kr/lbry/lbryPa geR.do[accessed 3 january 2020].
6 United States Environmental Protection Agency (U.S EPA). Method201a, Determination of PM10 And PM2.5 emissions from stationary sources. https://www.epa.gov/sites/production/files/2019-08/documents/method_201a_0.pdf [accessed 3 january 2020].
7 Park HS, Lee DA, Yang JG, Jang SG, Kim HB, Kim DS. Emission characteristics of PM10 and PM2.5 in thermal power plants using different fuel types. Journal of Korean Society for Atmospheric Environment. 2018; 34(4): 534-541.   DOI
8 Kim JH, Heo SH, Kim HC, Jo MR, Lim SO, Lee SB et al. A study on emission characteristics of air pollutants from the use of solid fuel. Journal of Korean Society for Atmospheric Environment. 2017; 33(2): 77-86.   DOI
9 United States Environmental Protection Agency (U.S EPA). Toxicological review of zinc and compounds. EPA/635/R-05/002. 2005.
10 Myung N-I, Lee Y-S, Shin D-Y. A case study on health impact assessment from incinerator operation in new towns -Human risk assessment due to heavy metals inhalation-. Journal of Environmental Impact Assessment. 2010; 19(3): 271-279.
11 Kim YH, Choi SK, Lee YS. A cade study of health impact assessment on incinerator construction project -Human risk assessment due to inhalation exposure to heavy metals-. Journal of Environmental Impact Assessment. 2009; 18(1): 11-19.
12 Shin HS, Jung YH, Kim JG, Jung JP, Lee SS, You HJ, et al. Characteristics of heavy metals in the industrial complex area of pocheon city. J Environ Health Sci. 2019; 45(6): 577-582.   DOI
13 Kim SC. Investigation of the concentration of PM2.1 & PM10 and alveolar deposition ratio. J Environ Health Sci. 2019; 45(2): 126-133.