4.7 Article

Particle emissions of a railway line determined by detailed single particle analysis

Journal

ATMOSPHERIC ENVIRONMENT
Volume 40, Issue 40, Pages 7831-7841

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.atmosenv.2006.07.026

Keywords

SEM/EDX; particle analysis; morphology; railway; PM10

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The goal of this study was to identify and quantify particles emitted from railway traffic. For that purpose PM10 samples were collected near a busy railway line using a wind direction and speed controlled sampling equipment consisting of five devices. Measurements taken perpendicular to the railway lines at 10, 36 and 120 m distance enable an identification and separation of particles caused by the railway traffic from background particles. Morphology and chemistry of more than I 1 000 particles were analysed by computer controlled scanning electron microscopy (CCSEM). Based on chemical composition five particle classes are defined and assigned to their sources. The mass of the individual particles is determined by multiplying their volumes, calculated based on their morphology with a density assigned specifically to each particle class. The density of the particle classes is derived from their chemical composition. To estimate the PM10 contributions of the railway lines, the mass of PM10 at 120m (background, not influenced by the railway lines) is subtracted from the mass of PM10 at 10m. The emissions of the railway lines are dominated by 'iron' particles, which contribute 2.9 mu g m(-3) or 67 % to the railway related PM10. In addition, 'aluminium' and 'calcium' particles contribute also to the railway related PM10 (1.0 mu g m(-3) or 23% for the 'aluminium' and 0.4 mu g m(-3) or 10% for the 'calcium' particles). These particles are assigned to abrasion of the gravel bed and re-suspension of mineral dust. Long-term gravimetric results of the contribution of iron to the mass of railway related PM10 from a study performed earlier at the same site are in good agreement with the data presented in this study. (c) 2006 Elsevier Ltd. All rights reserved.

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