| 1. |
- Olofsson, Ulf, 1962-, et al.
(författare)
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A pendulum RIG study on airborne transmission and migration of particles from artificial football turf
- 2019
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Ingår i: Proceedings of 10th International Scientific Conference BALTTRIB 2019. - : Vytautas Magnus University. - 2424-5089. ; , s. 126-131
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Konferensbidrag (refereegranskat)abstract
- Artificial football turf is today an increasingly common playing surface for athletics and kids. Its environmental impact is much debated, which is ranked as the second most common source of micro-plastic migration into nature. There are also concerns regarding the spread of inhalable airborne particles, originating from the wear between the football shoe-artificial turf contact. In this study a British pendulum rig is used to simulate the contact between football shoe stud and the artificial turf. The test rig is placed in a clean room environment, to ascertain if there are measurable levels of airborne particles generated in different sizes. The particle concentration was measured for airborne particles in size between 0.3 to 10 μm. In addition, migration studies of micro-plastics were also performed using the same test set up. Three commonly used rubber granule infill materials are tested in this study: SBR, TPE and EPDM. The results show that EPDM generates more airborne particles than the other two materials. Measurable levels of airborne wear particles were noted in the range from 0.3-10 μm. For the migration studies of micro-plastics, TPE generated the largest number of migrated particles.
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| 2. |
- Tu, Minghui, et al.
(författare)
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A comparison of airborne wear particle emission models based on metro station measurements
- 2019
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Ingår i: Proceedings of 10th International Scientific Conference BALTTRIB 2019. - : Vytautas Magnus University. - 2424-5089. ; , s. 150-157
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Konferensbidrag (refereegranskat)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 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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