Source-Specific Risk Inequality of Potentially Toxic Elements in Atmospheric Deposition: A Gini Index-Based Assessment for Prioritizing Control

Industrial activities contribute to the release of potentially toxic elements (PTEs) into the atmosphere, yet the spatial disparities in source-specific risks associated with atmospheric deposition remain insufficiently quantified. This study developed a Gini index-based framework to assess the inequality in source-specific ecological and health risks of PTEs in atmospheric deposition within a typical industrial city. A total of 128 deposition samples were collected in a typical industrial city in central China, and concentrations of nine PTEs (As, Cd, Co, Cr, Cu, Hg, Ni, Pb, and Zn) were analyzed. Source apportionment was performed using positive matrix factorization (PMF) and self-organizing maps (SOM). The Gini index for source-specific risk (GISR) was applied to quantify spatial inequality of ecological and health risks contributed by each source. The results showed that Cd, Pb, As and Zn were the most enriched metals, with Cd exhibiting extreme pollution level at 96% of sites. Four sources were identified, including industrial (28.41%), traffic (19.68%), natural (31.67%), and combustion (20.24%) sources. Cd dominated the integrated ecological risk (95.12%), while As and Pb contributed 88% of non-carcinogenic health risks, with children facing 2.3-fold higher chronic risk than adults. The GISR analysis revealed that industrial and combustion sources drove extreme ecological risk and chronic toxicity, and their contributions to the integrated ecological risk showed a highly homogeneous structural dominance (mean GISR = 0.43), whereas health risks exhibited moderate inequality with hotspots in eastern urban and industrial zones. This framework identifies priority control sources and areas, offering a transferable tool for spatially targeted pollution management in industrial regions.

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Publication Details

Journal
Toxics
Published
2026-10-30
DOI
https://doi.org/10.3390/toxics14110968
Primary Topic
Heavy metals in environment
Type
article
Field-Weighted Citation Impact
0.00

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article

Source-Specific Risk Inequality of Potentially Toxic Elements in Atmospheric Deposition: A Gini Index-Based Assessment for Prioritizing Control

Liangliang Huang, 张永芳, Wenli Feng, Shijie Song
3 links
Toxics
Heavy metals in environment
article

Source-Specific Risk Inequality of Potentially Toxic Elements in Atmospheric Deposition: A Gini Index-Based Assessment for Prioritizing Control

Liangliang Huang, 张永芳, Wenli Feng, Shijie Song
article en

Abstract

Industrial activities contribute to the release of potentially toxic elements (PTEs) into the atmosphere, yet the spatial disparities in source-specific risks associated with atmospheric deposition remain insufficiently quantified. This study developed a Gini index-based framework to assess the inequality in source-specific ecological and health risks of PTEs in atmospheric deposition within a typical industrial city. A total of 128 deposition samples were collected in a typical industrial city in central China, and concentrations of nine PTEs (As, Cd, Co, Cr, Cu, Hg, Ni, Pb, and Zn) were analyzed. Source apportionment was performed using positive matrix factorization (PMF) and self-organizing maps (SOM). The Gini index for source-specific risk (GISR) was applied to quantify spatial inequality of ecological and health risks contributed by each source. The results showed that Cd, Pb, As and Zn were the most enriched metals, with Cd exhibiting extreme pollution level at 96% of sites. Four sources were identified, including industrial (28.41%), traffic (19.68%), natural (31.67%), and combustion (20.24%) sources. Cd dominated the integrated ecological risk (95.12%), while As and Pb contributed 88% of non-carcinogenic health risks, with children facing 2.3-fold higher chronic risk than adults. The GISR analysis revealed that industrial and combustion sources drove extreme ecological risk and chronic toxicity, and their contributions to the integrated ecological risk showed a highly homogeneous structural dominance (mean GISR = 0.43), whereas health risks exhibited moderate inequality with hotspots in eastern urban and industrial zones. This framework identifies priority control sources and areas, offering a transferable tool for spatially targeted pollution management in industrial regions.

ToxicsVol. 14(11)
Guilin University of Technology (CN), Zhoukou Normal University (CN), Guangxi Key Laboratory of Environmental Pollution Control Theory and Technology (CN)
National Natural Science Foundation of China, People's Government of Henan Province
Good health and well-being
Openalex Percentile: Top 25%
Heavy metals in environment
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