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Characterization of tire and road wear microplastic particle contamination in a road tunnel: From surface to release

Journal of Hazardous Materials 2022 78 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Elisabeth S. Rødland, Ole Christian Lind, Malcolm J. Reid, Lene Sørlie Heier, Emelie Skogsberg, Brynhild Snilsberg, Dagfin Gryteselv, Sondre Meland

Summary

Researchers characterized tire and road wear particle distributions across multiple compartments of a road tunnel including road surfaces, gully pots, and wash water, finding the highest concentrations in side bank surface deposits and gully pots at the tunnel inlet. Sedimentation treatment retained only 63% of tire and road wear particles from wash water, highlighting the need for improved treatment to prevent environmental release.

Road pollution is one of the major sources of microplastic particles to the environment. The distribution of tire, polymer-modified bitumen (PMB) and tire and road wear particles (TRWP) in different tunnel compartments were explored: road surface, gully-pots and tunnel wash water. A new method for calculating TRWP using Monte Carlo simulation is presented. The highest concentrations on the surface were in the side bank (tire:13.4 ± 5.67;PMB:9.39 ± 3.96; TRWP:22.9 ± 8.19 mg/m2), comparable to previous studies, and at the tunnel outlet (tire:7.72 ± 11.2; PMB:5.40 ± 7.84; TRWP:11.2 ± 16.2 mg/m2). The concentrations in gully-pots were highest at the inlet (tire:24.7 ± 26.9; PMB:17.3 ± 48.8; TRWP:35.8 ± 38.9 mg/g) and comparable to values previously reported for sedimentation basins. Untreated wash water was comparable to road runoff (tire:38.3 ± 10.5; PMB:26.8 ± 7.33; TRWP:55.3 ± 15.2 mg/L). Sedimentation treatment retained 63% of tire and road wear particles, indicating a need to increase the removal efficiency to prevent these from entering the environment. A strong linear relationship (R2-adj=0.88, p < 0.0001) between total suspended solids (TSS) and tire and road wear rubber was established, suggesting a potential for using TSS as a proxy for estimating rubber loads for monitoring purposes. Future research should focus on a common approach to analysis and calculation of tire, PMB and TRWP and address the uncertainties related to these calculations.

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