DOI QR코드

DOI QR Code

Reduction of Particulate Matters Levels in Railway Cabins in Korea

  • Park, Duck-Shin (Eco-Transport Research Division, Korea Railroad Research Institute) ;
  • Kwon, Soon-Bark (Eco-Transport Research Division, Korea Railroad Research Institute) ;
  • Cho, Young-Min (Eco-Transport Research Division, Korea Railroad Research Institute) ;
  • Park, Eun-Young (Eco-Transport Research Division, Korea Railroad Research Institute) ;
  • Jeong, Woo-Tae (Eco-Transport Research Division, Korea Railroad Research Institute) ;
  • Lee, Ki-Young (Department of Environmental Health and Institute of Health and Environment, Graduate School of Public Health, Seoul National University)
  • Received : 2011.12.29
  • Accepted : 2012.02.20
  • Published : 2012.02.29

Abstract

Objectives: High concentrations of airborne particulate matters (PM) can affect the health of passengers using public transportation. The objectives of this research were to develop a PM control system for a railway cabin and to evaluate the performance of the device under conditions of an actual journey. Methods: This study measured the concentrations of $PM_{10}$ and $PM_{2.5}$ simultaneously in a reference cabin and a cabin with the PM control device. Results: The average $PM_{10}$ concentration in the reference cabin was 100 ${\mu}g/m^3$, and the $PM_{10}$ concentration in the cabin with the control device was 79 ${\mu}g/m^3$. While the overall control efficiency of the control device was 15.4%, reduction was more effective for peak $PM_{10}$ concentration. However, $PM_{2.5}$ levels did not differ greatly between the reference cabin and the cabin with the control device. The ratio of $PM_{2.5}$ to $PM_{10}$ was 0.37. $PM_{10}$ concentrations in cabins were not associated with ambient concentrations, indicating that the main sources of $PM_{10}$ were present in cabins. Additionally, average $CO_2$ concentration in the cabins was 1,359 ppm, less than the maximum of 2,000 ppm set out by the Korean Ministry of Environment's guideline. The $CO_2$ concentration in cabins was significantly associated with the number of passengers: the in-cabin concentration = $23.4{\times}N+460.2$, where N is the number of passengers. Conclusions: Application of the PM control device can improve $PM_{10}$ concentration, especially at peak levels but not $PM_{2.5}$ concentration.

Keywords

References

  1. Klepeis NE, Nelson WC, Ott WR, Robinson JP, Tsang AM, Switzer P, et al. The National Human Activity Pattern Survey (NHAPS): a resource for assessing exposure to environmental pollutants. J Expo Anal Environ Epidemiol. 2001; 11(3): 231- 252. https://doi.org/10.1038/sj.jea.7500165
  2. Yang W, Lee K, Yoon C, Yu S, Park K, Choi W. Determinants of indoor activity pattern in Korean population. J Exp Sci Environ Epidemiol. 2011; 21: 310-316. https://doi.org/10.1038/jes.2010.23
  3. Ministry of Land TaMA. 2007 Statistical Yearbook, 2008.
  4. Marshall JD, Riley WJ, McKone TE, Nazaroff WW. Intake fraction of primary pollutants: motor vehicle emissions in the South Coast Air Basin. Atmos Environ. 2003; 37(24): 3455-3468. https://doi.org/10.1016/S1352-2310(03)00269-3
  5. Lee K, Sohn H, Putti K. In-vehicle exposures to particulate matter and black carbon. J Air Waste Manage Assoc. 2010; 60: 130-136. https://doi.org/10.3155/1047-3289.60.2.130
  6. Praml G, Schierl R. Dust exposure in Munich public transportation: a comprehensive 4-year survey in buses and trams. Int Arch Occup Environ Health 2000; 73(3): 209-214. https://doi.org/10.1007/s004200050029
  7. Michaels RA, Kleinman MT. Incidence and apparent health significance of brief airborne particle excursions. Aerosol Sci Technol. 2000; 32(2): 93- 105. https://doi.org/10.1080/027868200303803
  8. Behrentz E, Sabin LD, Winer AM, Fitz DR, Pankratz DV, Colome SD, et al. Relative importance of school bus-related microenvironments to children's pollutant exposure. J Air Waste Manage Assoc. 2005; 55(10): 1418-1430. https://doi.org/10.1080/10473289.2005.10464739
  9. Chan LY, Lau WL, Lee SC, Chan CY. Commuter exposure to particulate matter in public transportation modes in Hong Kong. Atmos Environ. 2002; 36(21): 3363-3373. https://doi.org/10.1016/S1352-2310(02)00318-7
  10. Adams HS, Nieuwenhuijsen MJ, Colvile RN. Determinants of fine particle (PM2.5) personal exposure levels in transport microenvironments, London, UK. Atmos Environ. 2001; 35(27): 4557- 4566. https://doi.org/10.1016/S1352-2310(01)00194-7
  11. Riediker M, Williams R, Devlin R, Griggs T, Bromberg P. Exposure to particulate matter, volatile organic compounds, and other air pollutants inside patrol cars. Environ Sci Technol. 2003; 37(10): 2084-2093. https://doi.org/10.1021/es026264y
  12. Park DU, Ha KC. Characteristics of $PM_{10}$, $PM_{2.5}$, $CO_{2}$and CO monitored in interiors and platforms of subway train in Seoul, Korea. Environ Int 2008; 34(5): 629-634. https://doi.org/10.1016/j.envint.2007.12.007
  13. Leutwyler M, Siegmann K, Monn C. Suspended particulate matter in railway coaches. Atmos Environ. 2002; 36(1): 1-7. https://doi.org/10.1016/S1352-2310(01)00487-3
  14. Abadie M, Limam K, Bouilly J, Genin D. Particle pollution in the French high-speed train (TGV) smoker cars: measurement and prediction of passengers exposure. Atmos Environ. 2004; 38(14): 2017-2027. https://doi.org/10.1016/j.atmosenv.2004.02.013
  15. Kam W, Cheung K, Daher N, Sioutas C. Particulate matter (PM) concentrations in underground and ground-level rail systems of the Los Angeles Metro. Atmos Environ. 2011; 45(8): 1506-1516. https://doi.org/10.1016/j.atmosenv.2010.12.049
  16. Li TT, Bai YH, Liu ZR, Liu JF, Zhang GS, Li JL. Air quality in passenger cars of the ground railway transit system in Beijing, China. Sci Total Environ 2006; 367(1): 89-95. https://doi.org/10.1016/j.scitotenv.2006.01.007
  17. Kwon SB, Cho YM, Park DS, Park EY. Analysis on the $CO_{2}$ Reduction Effect of the electric rail car cabin by opening up and shutting the entrance. J Kor Soc Atmos Environ. 2008; 24(2): 153-161.