Accumulation degree and risk assessment of metals in street dust from a developing city in Central Taiwan

Chemosphere. 2023 Oct:339:139785. doi: 10.1016/j.chemosphere.2023.139785. Epub 2023 Aug 9.

Abstract

Due to the numerous industrial parks and high traffic density in Miaoli, Taiwan, large amounts of metals may be released into the atmosphere, accumulating in street dust. Therefore, this study aimed to collect street dust in Miaoli to quantify the metals and assess the accumulation degree, sources, and potential risks. The enrichment factor (EF), geological accumulation index (Igeo), ecological risk, and non-carcinogenic and lifetime carcinogenic risk were estimated to assess the accumulation degree and the potential environmental and health risks. Pearson correlation analysis, principal component analysis, and positive matrix factor model were used to clarify the relationship between levels of metals and identify possible sources. The levels of metals in street dust in order were Fe > Zn > Mn > Cu > Cr > Ni > Pb > Sr > Co > Sb. According to Igeo, the level of Ni indicated moderately polluted. The levels of Zn, Cu, and Pb showed moderate to strong pollution, strong pollution, and very strong pollution, respectively. Results of average ecological risk analysis pointed out that Pb and Cu represent a very high risk, while other metals posed low-to moderate-level ecological risks. Excluding the Steel Enterprise area, based on the EF value and source identification, it might be concluded that Co, Sr, Fe, Mn, and Sb were mainly from natural sources, while Cu, Pb, and Zn come from anthropogenic pollution sources. Based on the results of the risk assessments, most metals pose no serious adverse health risk to humans. But, in comparison to Miaoli townships, the health risks of residents living in the Steel Enterprise area were higher. However, given that children and adolescents exposure to Co, Cr, Pb, and Ni together constitute a relatively higher carcinogenic risk (CR > 10-6), more attention needs to be paid to the populations most susceptible.

Keywords: Metal pollution; Road dust; Source identification; Steel enterprise area.

MeSH terms

  • Adolescent
  • Carcinogens / analysis
  • Child
  • China
  • Cities
  • Dust* / analysis
  • Environmental Monitoring / methods
  • Humans
  • Lead / analysis
  • Metals, Heavy* / analysis
  • Risk Assessment
  • Steel / analysis
  • Taiwan

Substances

  • Dust
  • Metals, Heavy
  • Lead
  • Carcinogens
  • Steel