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Chemical Source Profiles and Toxicity Assessment of Urban Fugitive Dust PM(2.5) in Guanzhong Plain, China
Urban fugitive dust is a significant contributor to atmospheric PM(2.5) and a potential risk to humans. In 2019, both road dust and construction dust were collected from four cities, including Xi’an, Xianyang, Baoji, and Tongchuan, in Guanzhong Plain, China. Elements, water-soluble ions, and carbona...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10458601/ https://www.ncbi.nlm.nih.gov/pubmed/37624181 http://dx.doi.org/10.3390/toxics11080676 |
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author | Zhao, Ziyi Tian, Jie Zhang, Wenyan Zhang, Qian Wu, Zhichun Xing, Yan Li, Fei Song, Xinyu Li, Zhihua |
author_facet | Zhao, Ziyi Tian, Jie Zhang, Wenyan Zhang, Qian Wu, Zhichun Xing, Yan Li, Fei Song, Xinyu Li, Zhihua |
author_sort | Zhao, Ziyi |
collection | PubMed |
description | Urban fugitive dust is a significant contributor to atmospheric PM(2.5) and a potential risk to humans. In 2019, both road dust and construction dust were collected from four cities, including Xi’an, Xianyang, Baoji, and Tongchuan, in Guanzhong Plain, China. Elements, water-soluble ions, and carbonaceous fractions were determined to establish the chemical source profile. High enrichment degrees of Se, Sc, Cl, and Zn in both road dust and construction dust indicated that the industrial system and energy consumption influenced Guanzhong Plain strongly. According to the coefficient of divergence, the two datasets within Xianyang and Tongchuan were similar. Combined with the chemical profile, road dust was affected by more stationary emission sources than construction dust in Xi’an, while biomass burning and vehicle exhaust contributed more to road dust than construction dust in Baoji. Moreover, the health risk of heavy metal was assessed, and corresponding influencing factors were identified. Road dust in all cities showed a non-negligible non-carcinogenic risk for children. Ingestion and inhalation were the main exposure pathways to which As and Co contributed the most, respectively. The land-use regression model revealed that the first-class road in a 100 m radius impacted all high-risk level metals, and the commercial building material and enterprises weakly influenced Co and Pb, respectively. |
format | Online Article Text |
id | pubmed-10458601 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104586012023-08-27 Chemical Source Profiles and Toxicity Assessment of Urban Fugitive Dust PM(2.5) in Guanzhong Plain, China Zhao, Ziyi Tian, Jie Zhang, Wenyan Zhang, Qian Wu, Zhichun Xing, Yan Li, Fei Song, Xinyu Li, Zhihua Toxics Article Urban fugitive dust is a significant contributor to atmospheric PM(2.5) and a potential risk to humans. In 2019, both road dust and construction dust were collected from four cities, including Xi’an, Xianyang, Baoji, and Tongchuan, in Guanzhong Plain, China. Elements, water-soluble ions, and carbonaceous fractions were determined to establish the chemical source profile. High enrichment degrees of Se, Sc, Cl, and Zn in both road dust and construction dust indicated that the industrial system and energy consumption influenced Guanzhong Plain strongly. According to the coefficient of divergence, the two datasets within Xianyang and Tongchuan were similar. Combined with the chemical profile, road dust was affected by more stationary emission sources than construction dust in Xi’an, while biomass burning and vehicle exhaust contributed more to road dust than construction dust in Baoji. Moreover, the health risk of heavy metal was assessed, and corresponding influencing factors were identified. Road dust in all cities showed a non-negligible non-carcinogenic risk for children. Ingestion and inhalation were the main exposure pathways to which As and Co contributed the most, respectively. The land-use regression model revealed that the first-class road in a 100 m radius impacted all high-risk level metals, and the commercial building material and enterprises weakly influenced Co and Pb, respectively. MDPI 2023-08-07 /pmc/articles/PMC10458601/ /pubmed/37624181 http://dx.doi.org/10.3390/toxics11080676 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhao, Ziyi Tian, Jie Zhang, Wenyan Zhang, Qian Wu, Zhichun Xing, Yan Li, Fei Song, Xinyu Li, Zhihua Chemical Source Profiles and Toxicity Assessment of Urban Fugitive Dust PM(2.5) in Guanzhong Plain, China |
title | Chemical Source Profiles and Toxicity Assessment of Urban Fugitive Dust PM(2.5) in Guanzhong Plain, China |
title_full | Chemical Source Profiles and Toxicity Assessment of Urban Fugitive Dust PM(2.5) in Guanzhong Plain, China |
title_fullStr | Chemical Source Profiles and Toxicity Assessment of Urban Fugitive Dust PM(2.5) in Guanzhong Plain, China |
title_full_unstemmed | Chemical Source Profiles and Toxicity Assessment of Urban Fugitive Dust PM(2.5) in Guanzhong Plain, China |
title_short | Chemical Source Profiles and Toxicity Assessment of Urban Fugitive Dust PM(2.5) in Guanzhong Plain, China |
title_sort | chemical source profiles and toxicity assessment of urban fugitive dust pm(2.5) in guanzhong plain, china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10458601/ https://www.ncbi.nlm.nih.gov/pubmed/37624181 http://dx.doi.org/10.3390/toxics11080676 |
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