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A comparison of airborne wear particle emission models based on metro station measurements

Tu, Minghui ; Wahlström, Jens LU orcid ; Lyu, Yezhe LU orcid and Olofsson, Ulf (2019) 10th International Scientific Conference BALTTRIB 2019 p.150-157
Abstract

The main sources of non-exhaust particles around metro systems are the wear from wheel-rail contact, brake contact and the contact between mechanical parts in electric power systems. In order to predict the PM10 levels on underground metro platforms, the relation among time, train frequency and PM10 level should be investigated. Two types of particle emission models have previously been published to determine the PM10 level on underground train platform; these are the linear model and the conservation model. The aim of this study is to compare the results from the two models with a set of field measurements PM10. In 2016, a set of field measurements are performed on four underground metro platforms in Stockholm. The predicted PM10... (More)

The main sources of non-exhaust particles around metro systems are the wear from wheel-rail contact, brake contact and the contact between mechanical parts in electric power systems. In order to predict the PM10 levels on underground metro platforms, the relation among time, train frequency and PM10 level should be investigated. Two types of particle emission models have previously been published to determine the PM10 level on underground train platform; these are the linear model and the conservation model. The aim of this study is to compare the results from the two models with a set of field measurements PM10. In 2016, a set of field measurements are performed on four underground metro platforms in Stockholm. The predicted PM10 values from the two models are compared with the measurement data. The accuracy of the two models is analysed and the behaviours of the two models in high and low train frequency regions are separately discussed.

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Please use this url to cite or link to this publication:
author
; ; and
publishing date
type
Contribution to conference
publication status
published
subject
keywords
Model comparison, Particle emission, PM10, Underground metro platform
pages
8 pages
conference name
10th International Scientific Conference BALTTRIB 2019
conference location
Kaunas, Lithuania
conference dates
2019-11-14 - 2019-11-16
external identifiers
  • scopus:85084341767
DOI
10.15544/balttrib.2019.25
language
English
LU publication?
no
id
3c788f5a-7a4e-4b2c-bfc0-5010eaddd67b
alternative location
https://hdl.handle.net/20.500.12259/103207
date added to LUP
2020-05-19 12:30:33
date last changed
2022-04-18 22:17:24
@misc{3c788f5a-7a4e-4b2c-bfc0-5010eaddd67b,
  abstract     = {{<p>The main sources of non-exhaust particles around metro systems are the wear from wheel-rail contact, brake contact and the contact between mechanical parts in electric power systems. In order to predict the PM10 levels on underground metro platforms, the relation among time, train frequency and PM10 level should be investigated. Two types of particle emission models have previously been published to determine the PM10 level on underground train platform; these are the linear model and the conservation model. The aim of this study is to compare the results from the two models with a set of field measurements PM10. In 2016, a set of field measurements are performed on four underground metro platforms in Stockholm. The predicted PM10 values from the two models are compared with the measurement data. The accuracy of the two models is analysed and the behaviours of the two models in high and low train frequency regions are separately discussed.</p>}},
  author       = {{Tu, Minghui and Wahlström, Jens and Lyu, Yezhe and Olofsson, Ulf}},
  keywords     = {{Model comparison; Particle emission; PM10; Underground metro platform}},
  language     = {{eng}},
  month        = {{01}},
  pages        = {{150--157}},
  title        = {{A comparison of airborne wear particle emission models based on metro station measurements}},
  url          = {{http://dx.doi.org/10.15544/balttrib.2019.25}},
  doi          = {{10.15544/balttrib.2019.25}},
  year         = {{2019}},
}