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Wet Dust Sampler: a Sampling Method for Road Dust Quantification and Analyses
Swedish National Road and Transport Research Institute, Society, environment and transport, Environment.ORCID iD: 0000-0002-0138-0768
Swedish National Road and Transport Research Institute, Society, environment and transport, Environment.ORCID iD: 0000-0002-0124-04802
Swedish National Road and Transport Research Institute, Society, environment and transport, Environment.ORCID iD: 0000-0001-6600-3122
Swedish National Road and Transport Research Institute, Society, environment and transport, Environment.ORCID iD: 0000-0002-2679-2611
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2019 (English)In: Water, Air and Soil Pollution, ISSN 0049-6979, E-ISSN 1573-2932, Vol. 230, no 8, article id 180Article in journal (Refereed) Published
Abstract [en]

In northern countries, the climate, and consequently the use of studded tyres and winter traction sanding, causes accumulation of road dust over winter and spring, resulting in high PM10 concentrations during springtime dusting events. To quantify the dust at the road surface, a method—the wet dust sampler (WDS)—was developed allowing repeatable sampling also under wet and snowy conditions. The principle of operation is flushing high-pressurised water over a defined surface area and transferring the dust laden water into a container for further analyses. The WDS has been used for some time and is presented in detail to the international scientific community as reported by Jonsson et al. (2008) and Gustafsson et al. (2019), and in this paper, the latest version is presented together with an evaluation of its performance. To evaluate the WDS, the ejected water amount was measured, as well as water losses in different parts of the sampling system, together with indicative dust measurement using turbidity as a proxy for dust concentration. The results show that the WDS, when accounting for all losses, have a predictable and repeatable water performance, with no impact on performance based on the variety of asphalt surface types included in this study, given undamaged surfaces. The largest loss was found to be water retained on the surface, and the dust measurements imply that this might not have as large impact on the sampled dust as could be expected. A theoretical particle mass balance shows small particle losses, while field measurements show higher losses. Several tests are suggested to validate and improve on the mass balances. Finally, the WDS is found to perform well and is able to contribute to further knowledge regarding road dust implications for air pollution.

Place, publisher, year, edition, pages
Springer International Publishing , 2019. Vol. 230, no 8, article id 180
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Oceanography, Hydrology and Water Resources
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URN: urn:nbn:se:vti:diva-14085DOI: 10.1007/s11270-019-4226-6Scopus ID: 2-s2.0-85069672194OAI: oai:DiVA.org:vti-14085DiVA, id: diva2:1344083
Available from: 2019-08-20 Created: 2019-08-20 Last updated: 2019-08-20Bibliographically approved

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Lundberg, JoacimBlomqvist, GöranGustafsson, MatsJanhäll, SaraJärlskog, Ida

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