The Fine Dust Reduction Effect and Operational Strategy of Vegetation Biofilters Based on Subway Station Passenger Volume

지하역사 내 승하차 인원에 따른 식생바이오필터의 미세먼지 저감효과와 운전전략

  • Jae Young Lee (Dept. Of Green Smart, Sangmyung University) ;
  • Ye Jin Kim (Dept. of Landscape Architecture, Sangmyung University) ;
  • Mi Ju Kim (Dept. of Landscape Architecture, Sangmyung University)
  • 이재영 (상명대학교 그린스마트학과) ;
  • 김예진 (상명대학교 환경조경학과) ;
  • 김미주 (상명대학교 환경조경학과)
  • Received : 2023.10.19
  • Accepted : 2023.12.12
  • Published : 2023.12.31

Abstract

A subway station is a prominent multi-purpose facility where the quantitative management of fine dust, generated by various factors, is conducted. Recently, eco-friendly air purification methods using air-purifying plants are being discussed, with the focus on biofiltration through vegetation. Previous research in this field has confirmed the reduction effects of transition metals such as Fe, which have been identified as harmful to human health. This study aimed to identify the sources of fine dust dispersion within subway stations and derive an efficient operational strategy for air-purifying plants that takes into account the behavior characteristics of fine dust within multi-purpose facilities. The experiment monitored regional fine dust levels through IAQ stations established based on prior research. Also, the data was analyzed through time-series and correlation analyses by linking it with passenger counts at subway stations and the frequency of train stops. Furthermore, to consider energy efficiency, we conducted component-specific power consumption monitoring. Through this study, we were able to derive the optimal operational strategy for air-purifying plants based on time-series comprehensive analysis data and confirm significant energy efficiency.

Keywords

Acknowledgement

본 연구는 환경부 및 한국환경산업기술원의 2022년도 녹색융합 전문인력양성 지원사업과 농촌진흥청연구사업(세부과제번호: PJ0170712022)의 지원으로 수행되었습니다.

References

  1. Goldasteh, I, et al., "Human induced flow field and resultant particle resuspension and transport during gait cycle", Building and Environment, Vol. 77, pp. 101-109, 2014. https://doi.org/10.1016/j.buildenv.2014.03.016
  2. Shakya, K.M., Saad, A., and Ahronian, A., "Commuter exposure to particulate matter at underground subway stations in Philadelphia", Building and Environment, Vol. 186, pp. 107322, 2020.
  3. Y.S, Kim, et al., "Predictive monitoring and diagnosis of periodic air pollution in a subway station", Journal of Hazardous Materials, Vol. 183, pp. 448-459, 2010. https://doi.org/10.1016/j.jhazmat.2010.07.045
  4. T.H, Kim., M.J, Kim., and J.E, Oh., et al., "Study on Particulate Pollutant Reduction Characteristics of Vegetation Biofilters in Underground Subway Stations", Journal of the Semiconductor & Display Technology, Vol. 21(4), pp. 99-105, 2022.
  5. Weerakkody, U, et al., "Quantification of the traffic-generated particulate matter capture by plant species in a living wall and evaluation of the important leaf characteristics", Science of the Total Environment, Vol. 635, pp. 1012-1024, 2018. https://doi.org/10.1016/j.scitotenv.2018.04.106
  6. K.Y, Yoon, et al., "Spatial distribution of particulate matter (PM10 and PM2.5) in Seoul Metropolitan Subway stations", Journal of Hazardous Materials, Vol. 154, pp. 440-443, 2008. https://doi.org/10.1016/j.jhazmat.2007.10.042
  7. Korea Culture & Tourism Institute, KCTI-INFO-No. 40, 2018.
  8. T.H, Kim, et al., "Purification Effect of Vegetation Biofilters on Particulate Transition Metals in Multi-Use Facilities", JPPE, Vol. 24(4), pp. 327-334, 2023. https://doi.org/10.11628/ksppe.2023.26.4.327
  9. Seoul Metro, statistics of passengers using subway, 2022.
  10. Chen, J, et al., "The concentrations and reduction of airborne particulate matter (PM10, PM2. 5, PM1) at shelterbelt site in Beijing", Atmosphere Environment, Vol. 6(5), pp. 650-676, 2015. https://doi.org/10.3390/atmos6050650
  11. Izadi, T, et al., "The effect of ventilation system with and without under-platform exhaust on the concentration of braking micro-particles inside the subway system", Tunnelling and Underground Space Technology, Vol. 128, pp. 104638, 2022.
  12. S.B, Kwon, et al., "A multivariate study for characterizing particulate matter (PM10, PM2.5, and PM1) in Seoul metropolitan subway stations, Korea", Journal of Hazardous Materials, Vol. 297, pp. 295-303, 2015. https://doi.org/10.1016/j.jhazmat.2015.05.015
  13. Higuchi, K., and Saito, A., "Elucidation of efficient photosynthesis in plants with limited iron", Soil Science and Plant Nutriton, Vol. 68, pp. 505-513, 2022. https://doi.org/10.1080/00380768.2022.2106115
  14. M.H, Kim., and H.S, Park, "Photosynthetic Photon Flux Density (PPFD) for Plant Growth Lighting", Journal of the Korean Institute of Illuminating and Electrical Installation Engineers, Vol. 35, pp. 26-30, 2021. https://doi.org/10.5207/JIEIE.2021.35.6.026
  15. Avgoustaki, D.D., and Xydis, G., "Study on Particulate Pollutant Reduction Characteristics of Vegetation Biofilters in Underground Subway Stations", Biosystems Engineering, Vol. 211, pp. 219-229, 2021. https://doi.org/10.1016/j.biosystemseng.2021.09.006