497
Views
14
CrossRef citations to date
0
Altmetric
Articles

Heavy metals levels in road dust from Muscat, Oman: relationship with traffic volumes, and ecological and health risk assessments

, ORCID Icon &
Pages 264-276 | Received 12 Jan 2020, Accepted 31 Mar 2020, Published online: 13 Apr 2020
 

ABSTRACT

Dust samples from roads classified based on traffic volumes (low, medium and high traffic) were collected from Muscat, Oman, and then analyzed for a dozen heavy metals. Their contents varied widely with mercury and iron, having the lowest and highest concentrations (0.59–0.80 and 406.10–429.00 ppm, respectively). Contrary to most metals detected, mercury and arsenic did not only exhibit increasing trends from low to high categories, but they also were significantly correlated to each other and traffic volumes, suggesting that both might originate from vehicular emissions. While the calculations revealed that the potential ecological risk index (RI) for selected metals in the dust samples was at a considerable level, the hazard index (HI) was within the safe threshold value (HI < 1). Overall, our findings imply minor prejudicial health risks to the general public nevertheless, children would be relatively more vulnerable to the impact of metals associated with dust.

Acknowledgments

The authors are grateful to the SQU internal grant (IG/SCI/BIOL/15/02) for the financial support of this research. Technical staff in the Biology Department and staff from the Central Analytical and Applied Research Unit (CAARU) are thanked for their support.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the Sultan Qaboos University Internal Grant [IG/SCI/BIOL/15/02].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 371.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.