Propagation modelling based on airborne particle release data from nanostructured materials for exposure estimation and prediction
Research output: Contribution to journal › Conference article › Contributed › peer-review
Contributors
Abstract
The gap between release and exposure is limiting the current risk assessment of nanostructured materials. Both, release and exposure were connected to each other by transport and transformation processes and require therefore the description/specification of complex exposure scenarios. Within this study, propagation modelling based on experimentally determined airborne particle release data was used for exposure estimation and prediction in a defined model room. Therefore, 9 different exposure scenarios based on 3 release scenarios and 3 ventilation scenarios were analysed. Results for near field considerations have shown that the level of inhalation exposure is fundamentally defined by the present exposure scenario, that personal heat can cause particle availability in the breathing zone and that highest exposure levels arise immediate during material processing.
Details
Original language | English |
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Article number | 012010 |
Journal | Journal of Physics: Conference Series |
Volume | 838 |
Issue number | 1 |
Publication status | Published - 1 Jun 2017 |
Peer-reviewed | Yes |
Conference
Title | 5th Nanosafe International Conference on Health and Safety Issues Related to Nanomaterials for a Socially Responsible Approach, NANOSAFE 2016 |
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Duration | 7 - 10 November 2016 |
City | Grenoble |
Country | France |