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Source-specific ecological risk analysis and critical source identification of heavy metals in road dust in Beijing, China

Men, Cong, Liu, Ruimin, Xu, Libing, Wang, Qingrui, Guo, Lijia, Miao, Yuexi, Shen, Zhenyao·2020·Journal of Hazardous Materials

Abstract

To explore the spatial variation of source-specific ecological risks and identify critical sources of heavy metals in road dust, 36 road dust samples collected in Beijing in March 2017 were analyzed for heavy metals. A new method that takes into consideration the heavy-metal toxic response and is flexible to changes in the number of calculated heavy metals, called the Nemerow integrated risk index (NIRI), was developed for ecological risk assessment. The NIRI indicated that heavy metals posed considerable to high risks at the majority of sites, and 22 % of the sites suffered extreme risk in spring (NIRI > 320). Four main sources were identified based on positive matrix factorization (PMF): traffic exhaust, fuel combustion, construction, and use of pesticides and fertilizers. Owing to the lower toxic response factors of representative heavy metals of fuel combustion than those of other sources, although fuel combustion had the highest contribution (34.21 %) to heavy metals in spring, it only contributed 5.57 % to ecological risks. Critical sources and critical source areas were determined by considering the contributions to both heavy metals and ecological risks. The use of pesticide and fertilizer and traffic-related exhaust were identified as critical sources of heavy metals in spring. Source-specific ecological risks and critical sources of heavy metals changed with the changing seasons, which suggests that different strategies should be adopted in different seasons.

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Metadata

Authors
Men, C., Liu, R., Xu, L., Wang, Q., Guo, L., Miao, Y., & Shen, Z.
Venue
Journal of Hazardous Materials
Publisher
Elsevier BV
Published
2020-04
Volume
388
Pages
121763
ISSN
0304-3894 (ISSN-L)
OpenAlex
W2990028936
Cited by
339
References
72
FWCI
7.53
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Source-specific ecological risk analysis and critical source identification of heavy metals in road dust in Beijing, China. https://app.cochat.ai/papers/10.1016/j.jhazmat.2019.121763
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Men, C., Liu, R., Xu, L., Wang, Q., Guo, L., Miao, Y., & Shen, Z. (2020). Source-specific ecological risk analysis and critical source identification of heavy metals in road dust in Beijing, China. Journal of Hazardous Materials. https://doi.org/10.1016/j.jhazmat.2019.121763

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.