Reduction of non-point source contaminants associated with road-deposited sediments by sweeping

Environ Sci Pollut Res Int. 2019 Jan;26(2):1192-1207. doi: 10.1007/s11356-017-0192-y. Epub 2017 Sep 19.

Abstract

Road-deposited sediments (RDS) on an expressway, residual RDS collected after sweeping, and RDS removed by means of sweeping were analyzed to evaluate the degree to which sweeping removed various non-point source contaminants. The total RDS load was 393.1 ± 80.3 kg/km and the RDS, residual RDS, and swept RDS were all highly polluted with organics, nutrients, and metals. Among the metals studied, Cu, Zn, Pb, Ni, Ca, and Fe were significantly enriched, and most of the contaminants were associated with particles within the size range from 63 μm to 2 mm. Sweeping reduced RDS and its associated contaminants by 33.3-49.1% on average. We also measured the biological oxygen demand (BOD) of RDS in the present work, representing to our knowledge the first time that this has been done; we found that RDS contains a significant amount of biodegradable organics and that the reduction of BOD by sweeping was higher than that of other contaminants. Significant correlations were found between the contaminants measured, indicating that the organics and the metals originated from both exhaust and non-exhaust particles. Meanwhile, the concentrations of Cu and Ni were higher in 63 μm-2 mm particles than in smaller particles, suggesting that some metals in RDS likely exist intrinsically in particles, rather than only as adsorbates on particle surfaces. Overall, the results in this study showed that sweeping to collect RDS can be a good alternative for reduction of contaminants in runoff.

Keywords: Expressway; Heavy metals; Non-point source pollution; Organics; Road-deposited sediments; Sweeping.

MeSH terms

  • Environmental Restoration and Remediation / methods*
  • Geologic Sediments / chemistry
  • Humans
  • Non-Point Source Pollution / prevention & control*
  • Non-Point Source Pollution / statistics & numerical data
  • Occupational Health
  • Transportation / statistics & numerical data*