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Investigation of Diurnal Pattern of Generation and Resuspension of Particles Induced by Moving Subway Trains in an Underground Tunnel

Category: MAPS-Seoul Nanoparticle in Subway

Volume: 18 | Issue: 9 | Pages: 2240-2252
DOI: 10.4209/aaqr.2017.11.0444

Export Citation:  RIS | BibTeX

Sang-Hee Woo1,2,3, Jong Bum Kim2, Gwi-Nam Bae 2,3, Moon Se Hwang4, Gil Hun Tahk4, Hwa Hyun Yoon4, Se-Jin Yook 1

  • 1 School of Mechanical Engineering, Hanyang University, Seoul 04763, Korea
  • 2 Technology Research Center, Seoul Metropolitan Rapid Transit Corporation, Seoul 04806, Korea
  • 3 Energy and Environmental Engineering, University of Science and Technology, Daejeon 34113, Korea
  • 4 Transportation Environmental Research Team, Korea Railway Research Institute, Uiwang 16105, Korea


Particle mass concentration in a subway tunnel was measured.
A pattern of variation of particle mass concentration in subway tunnel was derived.
A model to predict the variation of particle mass concentration was proposed.
Prediction of diurnal variation obtained from the model agreed well with measurement.


To protect the health of subway users, it is essential to investigate the generation, resuspension, and decay of particles in underground tunnels. In this paper, we analyzed the diurnal pattern of variation in particle concentration in a subway tunnel. The mass concentration of particles was measured in a shelter located midway in the underground tunnel connecting Janghanpyeong station and Gunja station on Seoul Subway Line 5 by using an aerodynamic particle sizer, a dust monitor, and a fast mobility particle sizer. The particle mass concentration increased uniformly as a train passed through the tunnel, which was followed by an exponential decay. The particle concentration in the tunnel decreased when the decrease in the number of particles between train operations exceeded the number of particles generated and resuspended by a passing train, and increased in the opposite case. The diurnal variation in particle concentration in the tunnel according to train operations can be predicted by applying such a pattern of variation to the mass concentration of particles.


Aerosol Particle concentration Subway Underground tunnel Train operation

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