Atmospheric Deposition of Trace Toxic Metal Elements (TMEs) from Weathering of a Black Shale High Geological Background Areas in the Loushao Basin, Hunan Province, China: Pollution Characteristics and a Health Risk Assessment
Abstract
1. Introduction
2. Materials and Methods
2.1. Research Area
2.2. Sample Collection
2.3. Sample Pretreatment
2.4. Data and Spatial Analysis
2.5. Health Risk Index Method
3. Results and Discussion
3.1. Concentration Analysis in Atmospheric Deposition
3.2. Spatial Distribution Characteristics
3.3. Analysis of Dry and Wet Deposition Sources
3.3.1. Correlation Analysis
3.3.2. Principal Component Analysis
4. Health Risk Assessment
5. Conclusions
- (1)
- The exceedance rates of Cd, As, and Hg in black shale are 408%, 141%, and 220%, respectively. The high concentrations in the bedrock directly affect the natural weathering of major secondary enrichment media, such as weathered soils and atmospheric deposition. In weathered soils, only As and Pb exceed the standard, with exceedance rates of 129% and 113%, respectively. In atmospheric deposition, the toxic metal elements with the most serious exceedances are Cd, Hg, and Pb. The exceedance rates for dry deposition are 2.83, 3.29, and 4.08 times, respectively, while for wet deposition, they are 3.6, 4.07, and 3.43 times. In atmospheric wet deposition samples, the concentrations of Cd, Hg, and As are significantly higher than in dry deposition samples. The differences in concentration are primarily attributed to the solubility and dissolution rates of the elements.
- (2)
- The exceedance of Cd concentrations in atmospheric dry deposition is relatively widespread, covering more than 71% of the total study area. Medium-to-high values of Hg are primarily distributed in the western part of the study region, accounting for nearly 50%, and are largely influenced by natural weathering. High-value areas of the toxic metal element Pb are concentrated in central residential zones, mainly due to pollution accumulation caused by anthropogenic activities. Although there are some differences in wet deposition, the overall spatial distribution pattern remains generally consistent. The distribution patterns of weathered soil and atmospheric deposition are negatively correlated, and both are directly linked to secondary enrichment resulting from the natural weathering of black shale.
- (3)
- The source analysis results of atmospheric dry and wet deposition show that PC1 accounts for 84.1% and 80.5% of the variance in dry and wet deposition, respectively. The enrichment of Cd, Hg, and Pb elements in atmospheric deposition is primarily due to the natural weathering and migration of black shale, with anthropogenic factors contributing to the enrichment of As, Cr, Pb, and Hg in the deposition. The differences between dry and wet deposition are not the main influencing factors for the sources of these elements.
- (4)
- The HI values for As, Hg, Pb, and Cr elements in atmospheric deposition are greater than 1 for both adults and children, indicating the potential health hazards posed by these elements. The most serious threat is posed by Pb in dry deposition for children, with an HI value of 13.5, which can easily lead to neurological disorders. The elements with significant health risks in both dry and wet atmospheric deposition are largely consistent. However, in wet deposition, the HI value for Cd in children exceeds 1, suggesting that the health threat from Cd should be considered, while in contrast, the potential threat from Cd in dry deposition is relatively lower.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Hou, D.; Jia, X.; Wang, L.; McGrath, S.P.; Zhu, Y.-G.; Hu, Q.; Zhao, F.-J.; Bank, M.S.; O’Connor, D. Global soil pollution by toxic metals threatens agriculture and human health. Science 2025, 388, 316–321. [Google Scholar] [CrossRef] [PubMed]
- Ren, B.; Ma, W.; Zhang, M. The morphological transformation and migration characteristics of cadmium and selenium during the soil formation process of black rock series. Chin. J. Soil Water Conserv. 2024, 38, 391–399. [Google Scholar] [CrossRef]
- Cai, Q.S.; Hu, M.Y.; Yang, Z.; Qiu, X.; Zhang, B.; Li, H.; Hu, Z.; Deng, Q. Sedimentary environment and organic matter accumulation of black rock series of Wufeng-Longmaxi formations in foreland depression, western Hunan Province: An example from Well TD2 in Changde area. Earth Sci. 2024, 49, 2330–2345. [Google Scholar]
- Yadav, I.C.; Devi, N.L.; Singh, V.K.; Li, J.; Zhang, G. Spatial distribution, source analysis, and health risk assessment of heavy metals contamination in house dust and surface soil from four major cities of Nepal. Chemosphere 2019, 218, 1100–1113. [Google Scholar] [CrossRef]
- Dusengemungu, L.; Mubemba, B.; Gwanama, C. Evaluation of heavy metal contamination in copper mine tailing soils of Kitwe and Mufulira, Zambia, forreclamation prospects. Sci. Rep. 2022, 12, 11283. [Google Scholar] [CrossRef]
- Marx, S.K.; Kamber, B.S.; McGowan, H.A. Scavenging of atmospheric trace metal pollutants by mineral dusts: Inter-regional transport of Australian trace metal pollution to New Zealand. Atmos. Environ. 2008, 42, 2460–2478. [Google Scholar] [CrossRef]
- Li, Y.; Zhou, S.; Jia, Z.; Liu, K.; Wang, G. Temporal and spatial distributions and sources of heavy metals in atmospheric deposition in western Taihu Lake, China. Environ. Pollut. 2021, 284, 117465. [Google Scholar] [CrossRef]
- Duruibe, J.C.O.; Egwurugwu, J. Heavy metal pollution and human biotoxic effects. Int. J. Phys. Sci. 2007, 2, 112–118. Available online: https://academicjournals.org/article/article1380209337_Duruibe%20et%20al.pdf (accessed on 29 April 2026).
- Abdel-Latif, N.M.; Saleh, I.A. Heavy metals contamination in roadside dust along major roads and correlation with urbanization activities in Cairo, Egypt. J. Am. Sci. 2012, 8, 379–389. Available online: https://www.jofamericanscience.org/journals/am-sci/am0806/047_9402am0806_379_389.pdf (accessed on 29 April 2026).
- Nordberg, G.F.; Fowler, B.A.; Nordberg, M. (Eds.) Handbook on the Toxicology of Metals, 3rd ed.; Academic Press: San Diego, CA, USA, 2007. [Google Scholar] [CrossRef]
- Ostrom, E. A General framework for analyzing sustainability of social-ecological systems. Science 2009, 325, 419. [Google Scholar] [CrossRef]
- Pimm, S.L. Food Webs; Springer: Dordrecht, The Netherlands, 1982. [Google Scholar]
- Zhao, Q.; Shi, H.; Wu, Z. The Comprehensive Development Strategy and Countermeasures of Agricultural Resources in Red-Yellow Soil Region; Jiangxi Science and Technology Press: Nanchang, China, 1992. [Google Scholar]
- Turekian, K.K.; Wedepohl, K.H. Distribution of the elements in some major units of the earth’s crust. Geol. Soc. Am. Bull. 1961, 72, 175–192. [Google Scholar] [CrossRef]
- Sun, X.; Jia, L. Migration Characteristics of Heavy Metal Elements in Rock-Soil-Plant System in Yangmeikeng Area, Shenzhen. South China Geol. 2020, 36, 270–279. [Google Scholar]
- Chi, Q.H.; Yan, M.C. Abundance of Elements in Applied Geochemistry; Geological Publishing House: Beijing, China, 2007. [Google Scholar]
- Jordi, A.; Basterretxea, G.; Tovar-Sanchez, A.; Alastuey, A.; Querol, X. Copper aerosols inhibit phytoplankton growth in the Mediterranean Sea. Proc. Natl. Acad. Sci. USA 2012, 109, 21246–21249. [Google Scholar] [CrossRef] [PubMed]
- Wilcke, W.; Kaupenjohann, M. Heavy metal distribution between soil aggregate core and surface fractions along gradients of deposition from the atmosphere. Geoderma 1998, 83, 55–66. [Google Scholar] [CrossRef]
- Morselli, L.; Olivieri, P.; Brusori, B.; Passarini, F. Soluble and insoluble fractions of heavy metals in wet and dry atmospheric depositions in Bologna, Italy. Environ. Pollut. 2003, 124, 457–469. [Google Scholar] [CrossRef]
- Liu, H.-L.; Zhou, J.; Li, M.; Obrist, D.; Wang, X.-Z.; Zhou, J. Chemical speciation of trace metals in atmospheric deposition and impacts on soil geochemistry and vegetable bioaccumulation near a large copper smelter in China. J. Hazard. Mater. 2021, 413, 125346. [Google Scholar] [CrossRef]
- Xia, X.; Ji, J.; Zhang, C.; Yang, Z.; Shi, H. Carbonate bedrock control of soil Cd background in Southwestern China: Its extent and influencing factors based on spatial analysis. Chemosphere 2022, 290, 133390. [Google Scholar] [CrossRef]
- Wu, W.; Qu, S.; Nel, W.; Ji, J. The impact of natural weathering and mining on heavy metal accumulation in the karst areas of the Pearl River Basin, China. Sci. Total Environ. 2020, 734, 139480. [Google Scholar] [CrossRef]
- Wen, Y.; Li, W.; Yang, Z.; Zhang, Q.; Ji, J. Enrichment and source identification of Cd and other heavy metals in soils with high geochemical background in the karst region, Southwestern China. Chemosphere 2020, 245, 125620. [Google Scholar] [CrossRef]
- Wang, Y.; Duan, X.; Wang, L. Spatial distribution and source analysis of heavy metals in soils influenced by industrial enterprise distribution: Case study in Jiangsu Province. Sci. Total Environ. 2020, 710, 134953. [Google Scholar] [CrossRef]
- Cai, Z.; Ren, B.; Xie, Q.; Deng, X.; Yin, W.; Chen, L. Heterogeneous comparative analysis of potentially toxic elements(PTEs)in different media stem from the black rock system under a high geologic background. J. Clean. Prod. 2024, 481, 144139. [Google Scholar] [CrossRef]
- Cai, Z.; Ren, B.; Xie, Q.; Deng, X.; Yin, W.; Chen, L. Toxic element characterization against a typical high geology background: Pollution enrichment, source tracking, spatial distribution, and ecological risk assessment. Environ. Res. 2024, 255, 119146. [Google Scholar] [CrossRef]
- Cai, Z.; Ren, B.; Xie, Q.; Deng, X.; Yin, W.; Chen, L. Assessment of health risks posed by toxicological elements of the food chain in a typical high geologic background. Ecol. Indic. 2024, 161, 111981. [Google Scholar] [CrossRef]
- Chen, L.; Ren, B.; Deng, X.; Yin, W.; Xie, Q.; Cai, Z.; Zou, H. Black shale bedrock control of soil heavy metal typical high geological background in China Loushao Basin: Pollution characteristics, source and Influence assessment based on spatial analysis. J. Hazard. Mater. 2024, 477, 135072. [Google Scholar] [CrossRef] [PubMed]
- Chen, L.; Ren, B.; Deng, X.; Yin, W.; Cai, Z. Black shale high geological background potential toxic elements(PTEs) in middle reaches of the Yangtze River tributary basin water environment, China: Distribution, pollution sources, and risk assessment. J. Hazard. Mater. 2024, 480, 136132. [Google Scholar] [CrossRef]
- Chen, L.; Ren, B.; Deng, X.; Yin, W.; Xie, Q.; Cai, Z.; Zou, H. Potential toxic elements (PTEs) in rhizosphere soils and crops under a black shale high geological background: Pollution characteristics, distribution and risk assessment. Ecol. Indic. 2024, 165, 112236. [Google Scholar] [CrossRef]
- Oberdörster, G.; Oberdörster, E.; Oberdörster, J. Nanotoxicology: An emerging discipline evolving from studies of ultrafine particles. Environ. Health Perspect. 2005, 113, 823–839. Available online: https://pubmed.ncbi.nlm.nih.gov/16002369/ (accessed on 29 April 2026). [CrossRef]
- Kreyling, W.G.; Semmler-Behnke, M.; Möller, W. Ultrafine particle-lung interactions: Does size matter? J. Aerosol Med. 2006, 19, 74–83. [Google Scholar] [CrossRef]
- Hei, H. Review Panel on Ultrafine Particles: Understanding the Health Effects of Ambient Ultrafine Particles; HEI Perspectives 3; Health Effects Institute: Boston, MA, USA, 2013; Available online: https://www.healtheffects.org/system/files/Perspectives3.pdf (accessed on 29 April 2026).
- Salma, I.; Füri, P.; Németh, Z.; Balásházy, I.; Hofmann, W.; Farkas, Á. Lung burden and deposition distribution of inhaled atmospheric urban ultrafine particles as the first step in their health risk assessment. Atmos. Environ. 2015, 104, 39–49. [Google Scholar] [CrossRef]
- McLaughlin, M.J.; Smolders, E.; Zhao, F.J.; Grant, C.; Montalvo, D. Chapter One: Managing cadmium in agricultural system. Adv. Agron. 2021, 166, 1–129. [Google Scholar]
- Klaes, B.; Wörner, G.; Thiele-Bruhn, S.; Arz, H.W.; Struck, J.; Dellwig, O.; Groschopf, N.; Lorenz, M.; Wagner, J.-F.; Urrea, O.B.; et al. Element mobility related to rock weathering and soil formation at the westward side of the southernmost Patagonian Andes. Sci. Total Environ. 2022, 817, 152977. [Google Scholar] [CrossRef]
- Amodio, M.; Catino, S.; Dambruoso, P.R.; de Gennaro, G.; Di Gilio, A.; Giungato, P.; Laiola, E.; Marzocca, A.; Mazzone, A.; Sardaro, A.; et al. Atmospheric Deposition: Sampling Procedures, Analytical Methods, and Main Recent Findings from the Scientific Literature. Adv. Meteorol. 2014, 2014, 161730. [Google Scholar] [CrossRef]
- Ye, J.; Zhong, H.; Xu, Z.; Ma, C. Study on the Flux of Heavy Metal Elements in Atmospheric Dry Wet Deposition and Its Impact on Farmland Soil: A Case Study of Chongzhou. Geophys. Chem. Explor. 2025, 49, 708–717. [Google Scholar]
- HJ 737-2015; Soil and Sediment-Determination of 12 Metal Elements by Inductively Coupled Plasma Mass Spectrometry. Ministry of Ecology and Environment of China: Beijing, China, 2015.
- HJ 694-2014; Water Quality—Determination of Mercury, Arsenic, Selenium, Bismuth and Antimony—Atomic Fluorescence Spectrometry. Ministry of Ecology and Environment of China: Beijing, China, 2015.
- Liu, Y.; Wei, G. Improvement of GRUBBS method in outlier detection. Henan Sci. 2006, 124, 642–645. [Google Scholar]
- Liu, F.; Shi, X.; Yu, D.; Pan, X. Characteristics of spatial variability of total soil nitrogen in the typical area of Taihu Lake basin. Geogr. Sci. 2004, 23, 63–70. [Google Scholar]
- Wang, J. Using SPSS17 Evaluation of the Normal Probability Distribution Diagram of 0 Software for the Writing of the “Medical Imaging Technology” Exam Paper—Attached with the Results of the 11th Student Exam. Mod. Instrum. 2012, 18, 45–47. [Google Scholar]
- Zou, H.; Ren, B.; Deng, X.; Li, T. Geographic distribution, source analysis, and ecological risk assessment of PTEs in the topsoil of different land uses around the antimony tailings tank: A case study of Longwangchi tailings pond, Hunan, China. Ecol. Indic. 2023, 150, 110205. [Google Scholar] [CrossRef]
- Xie, Q.; Ren, B.; Shi, X.; Hursthouse, A. Factors on the distribution, migration, and leaching of potential toxic metals in the soil and risk assessment around the zinc smelter. Ecol. Indic. 2022, 144, 109502. [Google Scholar] [CrossRef]
- USEPA. Risk Assessment Guidance for Superfund Volume 1. Human Health Evaluation Manual (Part E, Supplemental Guidance for Dermal Risk As-sessment); EPA/540/R/99/005; Office of Superfund Remediation and Technology Innovation, U.S. Environmental Protection Agency: Washington, DC, USA, 2004.
- Kim, E.; Little, J.C.; Chiu, N. Estimating exposure to chemical contaminants in drinking water. Environ. Sci. Technol. 2004, 38, 1799–1806. [Google Scholar] [CrossRef] [PubMed]
- Zeng, X.; Liu, Y.; You, S.; Zeng, G.; Tan, X.; Hu, X.; Hu, X.; Huang, L.; Li, F. Spatial distribution, health risk assessment and statistical source identification of the trace elements in surface water from the Xiangjiang River, China. Environ. Sci. Pollut. Res. 2015, 22, 9400–9412. [Google Scholar] [CrossRef] [PubMed]
- Meng, Q.; Zhang, J.; Zhang, Z.; Wu, T. Geochemistry of dissolved trace elements and heavy metals in the Dan River Drainage (China): Distribution, sources, and water quality assessment. Environ. Sci. Pollut. Res. 2016, 23, 8091–8103. [Google Scholar] [CrossRef]
- Şener, Ş.; Şener, E.; Davraz, A. Evaluation of water quality using water quality index (WQI) method and GIS in Aksu River (SW-Turkey). Sci. Total Environ. 2017, 584–585, 131–144. [Google Scholar] [CrossRef]
- Wang, J.; Liu, G.; Liu, H.; Lam, P.K. Multivariate statistical evaluation of dissolved trace elements and a water quality assessment in the middle reaches of Huaihe River, Anhui, China. Sci. Total Environ. 2017, 583, 421–431. [Google Scholar] [CrossRef] [PubMed]
- Chen, X.; Fu, X.; Li, G.; Zhang, J.; Li, H.; Xie, F. Source-specific probabilistic health risk assessment of heavy metals in surface water of the Yangtze River Basin. Sci. Total Environ. 2024, 926, 171923. [Google Scholar] [CrossRef]
- Yan, Y.; Zhang, Q.; Wang, G.G.; Fang, Y.-M. Atmospheric deposition of heavy metals in Wuxi, China: Estimation based on native moss analysis. Environ. Monit. Assess. 2016, 188, 360. [Google Scholar] [CrossRef]
- Xia, X.; Ji, J.; Yang, Z.; Han, H.; Huang, C.; Li, Y.; Zhang, W. Cadmium risk in the soil-plant system caused by weathering of carbonate bedrock. Chemosphere 2020, 254, 126799. [Google Scholar] [CrossRef] [PubMed]
- Seinfeld, J.H.; Pandis, S.N. Atmospheric Chemistry and Physics: From Air Pollution to Climate Change; John Wiley & Sons: Hoboken, NJ, USA, 2016. [Google Scholar]
- Baral, D.; Dvorak, B.I.; Admiraal, D.; Jia, S.; Zhang, C.; Li, X. Tracking the Sources of Antibiotic Resistance Genes in an Urban Stream during Wet Weather using Shotgun Metagenomic Analyses. Environ. Sci. Technol. 2018, 52, 9033–9044. [Google Scholar] [CrossRef] [PubMed]
- Misyura, S. Developing the environmentally friendly technologies of combustion of gas hydrates. Reducing harmful emissions during combustion. Environ. Pollut. 2020, 265, 114871. [Google Scholar] [CrossRef]
- Chen, L.; Ren, B.; Deng, X.; Yin, W.; Xie, Q.; Cai, Z. Potential toxic heavy metals in village rainwater runoff of antimony mining area, China: Distribution, pollution sources, and risk assessment. Sci. Total Environ. 2024, 920, 170702. [Google Scholar] [CrossRef]
- Liang, J.; Liu, J.; Yuan, X.; Zeng, G.; Yuan, Y.; Wu, H.; Li, F. A method for heavy metal exposure risk assessment to migratory herbivorous birds and identification of priority pollutants/areas in wetlands. Environ. Sci. Pollut. Res. 2016, 23, 11806–11813. [Google Scholar] [CrossRef]
- Cooke, C.A.; Martínez-Cortizas, A.; Bindler, R.; Gustin, M.S. Environmental archives of atmospheric Hg deposition–a review. Sci. Total Environ. 2020, 709, 134800. [Google Scholar] [CrossRef]
- Zhang, Y.; Xiang, Y.B.; Chen, W.Y. Heavy metal content in the bark of Camphora tree in Xiangtan and its environmental significance. Appl. Ecol. Environ. Res. 2019, 17, 9827–9835. Available online: https://www.aloki.hu/pdf/1704_98279835.pdf (accessed on 29 April 2026). [CrossRef]
- Zhao, W.; Song, Y.; Guan, D.; Ma, Q.; Guo, C.; Wen, Y.; Ji, J. Study on Soil Heavy Metal Pollution and Bioavailability in Typical Distribution Areas of Black Rock Series. J. Agric. Environ. Sci. 2018, 37, 1332–1341. [Google Scholar]
- Jeong, H.; Choi, J.Y.; Lee, J.; Lim, J.; Ra, K. Heavy metal pollution by road-deposited sediments and its contribution to total suspended solids in rainfall runoff from intensive industrial areas. Environ. Pollut. 2020, 265, 115028. [Google Scholar] [CrossRef]
- Zang, F.; Wang, H.; Zhao, C.; Nan, Z.; Wang, S.; Yang, J.; Li, N. Atmospheric wet deposition of trace elements to forest ecosystem of the Qilian Mountains, northwest China. CATENA 2021, 197, 104966. [Google Scholar] [CrossRef]
- Liu, B.; Guo, X.; Zhu, Y. Soil heavy metal source analysis based on random forest model: A case study of Jinzhong Basin. Resour. Environ. Arid Reg. 2019, 33, 106–111. [Google Scholar] [CrossRef]
- Wu, W.; Qu, S.; Nel, W.; Ji, J. The influence of natural weathering on the behavior of heavy metals in small basaltic watersheds: A comparative study from different regions in China. Chemosphere 2021, 262, 127897. [Google Scholar] [CrossRef]
- Dong, Z.; Kang, S.; Qin, X.; Li, X.; Qin, D.; Ren, J. New insights into trace elements deposition in the snow packs at remote alpine glaciers in the northern Tibetan Plateau, China. Sci. Total Environ. 2015, 529, 101–113. [Google Scholar] [CrossRef]
- Zhou, H.; Yue, X.; Chen, Y.; Liu, Y. Source-specific probabilistic contamination risk and health risk assessment of soil heavy metals in a typical ancient mining area. Sci. Total Environ. 2023, 906, 167772. [Google Scholar] [CrossRef]
- Kumar, M.; Ramanathan, A.; Tripathi, R.; Farswan, S.; Kumar, D.; Bhattacharya, P. A study of trace element contamination using multivariate statistical techniques and health risk assessment in groundwater of Chhaprola Industrial Area, Gautam Buddha Nagar, Uttar Pradesh, India. Chemosphere 2017, 166, 135–145. [Google Scholar] [CrossRef]
- Xiao, J.; Wang, L.; Deng, L.; Jin, Z. Characteristics, sources, water quality and health risk assessment of trace elements in river water and well water in the Chinese Loess Plateau. Sci. Total Environ. 2019, 650, 2004–2012. [Google Scholar] [CrossRef]
- Varol, M. Assessment of heavy metal contamination in sediments of the Tigris River (Turkey) using pollution indices and multivariate statistical techniques. J. Hazard. Mater. 2011, 195, 355–364. [Google Scholar] [CrossRef]
- Ren, B.; Liu, K.; Ma, H. Analysis of manganese pollution load in rainwater runoff from a metal mining area based on the SWAT model. Environ. Pollut. Control 2014, 36, 50–54. [Google Scholar]
- Ren, B.; Ma, H.; Zheng, X.; Binquan, L.; Yi, Z. Spatial structure characteristics of heavy metal content and pollution level in rainwater runoff from manganese mining areas. J. Environ. Sci. 2014, 34, 1730–1737. [Google Scholar] [CrossRef]
- Ke, W.; Zeng, J.; Zhu, F.; Luo, X.; Feng, J.; He, J.; Xue, S. Geochemical partitioning and spatial distribution of heavy metals in soils contaminated by lead smelting. Environ. Pollut. 2022, 307, 119486. [Google Scholar] [CrossRef]
- Zhang, M.; Wang, X.; Liu, C.; Lu, J.; Qin, Y.; Mo, Y.; Xiao, P.; Liu, Y. Identification of the heavy metal pollution sources in the rhizosphere soil of farmland irrigated by the Yellow River using PMF analysis combined with multiple analysis methods—Using Zhongwei city, Ningxia, as an example. Environ. Sci. Pollut. Res. 2020, 27, 16203–16214. [Google Scholar] [CrossRef]
- Xing, J.; Liu, H. The impact of atmospheric deposition on pollution distribution and element cycling in soil in China. Shaanxi Agric. Sci. 2023, 69, 72–77+92. [Google Scholar]
- Dannevig, H.; Hovelsrud, G.K.; Hermansen, E.A.; Karlsson, M. Culturally sensitive boundary work: A framework for linking knowledge to climate action. Environ. Sci. Policy 2020, 112, 405–413. [Google Scholar] [CrossRef]
- Liu, Y.; Gao, W.; Chai, S. Assessment of Fluxes and Ecological and Health Risks of Toxic Trace Elements in Atmospheric Deposition from the Baicheng-Songyuan Area, Jilin Province, Northeast China. Atmosphere 2024, 15, 744. [Google Scholar] [CrossRef]
- Nag, R.; Cummins, E. Human health risk assessment of lead (Pb) through the environmental-food pathway. Sci. Total Environ. 2022, 810, 151168. [Google Scholar] [CrossRef]
- Zhou, J.; Du, B.; Hu, Y.; Liang, J.; Liu, H.; Fan, X.; Zhang, L.; Cui, H.; Liu, X.; Zhou, J. A new criterion for the health risk assessment of Se and Pb exposure to residents near a smelter. Environ. Pollut. 2019, 244, 218–227. [Google Scholar] [CrossRef]
- Luo, X.; Ren, B.; Hursthouse, A.S.; Jiang, F.; Deng, R.-J.; Wang, Z. Source identification and risk analysis of potentially toxic elements (PTEs) in rainwater runoff from a manganese mine (south central Hunan, China). Water Supply 2021, 21, 824–835. [Google Scholar] [CrossRef]




| Sample Type | Element | Min | Max | Average Value | Sd | CV | Skewness Coefficient | Kurtosis Coefficient | Background Value |
|---|---|---|---|---|---|---|---|---|---|
| Dry deposition (mg/kg) | Cd | 1.29 | 4.57 | 2.94 | 1.02 | 0.35 | 0.050 | −0.97 | 1.04 |
| As | 1.63 | 16.06 | 4.62 | 3.35 | 0.73 | 3.13 | 11.18 | 9.90 | |
| Hg | 0.12 | 3.01 | 0.49 | 0.71 | 1.44 | 3.54 | 13.13 | 0.15 | |
| Pb | 57.40 | 137.10 | 106.16 | 25.15 | 0.24 | −0.58 | −0.81 | 26.00 | |
| Cr | 25.40 | 117.00 | 53.05 | 20.06 | 0.38 | 2.40 | 8.03 | 78.00 | |
| Wet deposition (mg/kg) | Cd | 1.66 | 5.30 | 3.74 | 1.04 | 0.28 | −0.32 | −0.16 | 1.04 |
| As | 2.63 | 16.26 | 5.41 | 3.22 | 0.59 | 3.01 | 10.48 | 9.90 | |
| Hg | 0.21 | 3.12 | 0.61 | 0.72 | 1.18 | 3.39 | 12.32 | 0.15 | |
| Pb | 37.40 | 127.10 | 89.14 | 28.58 | 0.32 | −0.53 | −0.96 | 26.00 | |
| Cr | 20.40 | 107.00 | 41.12 | 20.12 | 0.49 | 2.76 | 9.05 | 78.00 | |
| Black shale (μg/g) | Cd | 0.11 | 0.66 | 0.29 | 0.16 | 0.56 | 1.69 | 2.87 | 0.070 |
| As | 1.79 | 7.60 | 3.32 | 1.66 | 0.49 | 2.21 | 5.64 | 2.36 | |
| Hg | 0.019 | 0.042 | 0.030 | 0.0066 | 0.22 | 0.12 | −0.014 | 0.014 | |
| Pb | 1.75 | 14.30 | 4.56 | 3.77 | 0.83 | 2.18 | 5.60 | 30.08 | |
| Cr | 0.30 | 23.90 | 7.69 | 7.56 | 0.98 | 1.15 | 1.02 | 10.00 | |
| Weathered soil (μg/g) | Cd | 0.11 | 1.068 | 0.49 | 0.39 | 0.79 | 0.39 | −1.91 | 1.040 |
| As | 11.42 | 14.91 | 12.73 | 0.97 | 0.070 | 1.17 | 1.89 | 9.90 | |
| Hg | 0.039 | 0.28 | 0.094 | 0.071 | 0.76 | 2.57 | 7.26 | 0.15 | |
| Pb | 25.80 | 33.70 | 29.47 | 2.76 | 0.090 | 0.13 | −1.62 | 26.00 | |
| Cr | 64.60 | 86.70 | 75.96 | 8.78 | 0.12 | 0.092 | −2.030 | 78.00 |
| Element | RfDingestion (μg/kg/day) | RfDdermal (μg/kg/day) | HQingestion Adult Child | HQdermal Adult Child | HI = ΣHQs Adult Child |
|---|---|---|---|---|---|
| Dry deposition | |||||
| As | 0.30 | 0.80 | 0.454 0.473 | 0.889 1.83 | 1.34 2.30 |
| Cd | 0.50 | 1.20 | 0.173 0.180 | 0.377 0.775 | 0.550 0.955 |
| Cr | 3.00 | 6.50 | 0.522 0.543 | 3.77 7.75 | 4.29 8.29 |
| Pb | 1.40 | 3.00 | 2.24 2.33 | 5.45 11.2 | 7.69 13.5 |
| Hg | 0.030 | 0.080 | 0.485 0.504 | 3.79 7.80 | 4.28 8.30 |
| Wet deposition | |||||
| As | 0.30 | 0.80 | 0.532 0.553 | 1.04 2.14 | 1.57 2.70 |
| Cd | 0.50 | 1.20 | 0.221 0.230 | 0.480 0.986 | 0.701 1.22 |
| Cr | 3.00 | 6.50 | 0.404 0.421 | 2.92 6.01 | 3.32 6.43 |
| Pb | 1.40 | 3.00 | 1.88 1.95 | 4.58 9.40 | 6.46 11.4 |
| Hg | 0.030 | 0.080 | 0.485 0.624 | 4.69 9.65 | 5.45 10.3 |
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Deng, X.; Chen, L.; Ren, B.; Xie, Q.; Yin, W.; Cai, Z. Atmospheric Deposition of Trace Toxic Metal Elements (TMEs) from Weathering of a Black Shale High Geological Background Areas in the Loushao Basin, Hunan Province, China: Pollution Characteristics and a Health Risk Assessment. Sustainability 2026, 18, 5522. https://doi.org/10.3390/su18115522
Deng X, Chen L, Ren B, Xie Q, Yin W, Cai Z. Atmospheric Deposition of Trace Toxic Metal Elements (TMEs) from Weathering of a Black Shale High Geological Background Areas in the Loushao Basin, Hunan Province, China: Pollution Characteristics and a Health Risk Assessment. Sustainability. 2026; 18(11):5522. https://doi.org/10.3390/su18115522
Chicago/Turabian StyleDeng, Xinping, Luyuan Chen, Bozhi Ren, Qing Xie, Wei Yin, and Zhaoqi Cai. 2026. "Atmospheric Deposition of Trace Toxic Metal Elements (TMEs) from Weathering of a Black Shale High Geological Background Areas in the Loushao Basin, Hunan Province, China: Pollution Characteristics and a Health Risk Assessment" Sustainability 18, no. 11: 5522. https://doi.org/10.3390/su18115522
APA StyleDeng, X., Chen, L., Ren, B., Xie, Q., Yin, W., & Cai, Z. (2026). Atmospheric Deposition of Trace Toxic Metal Elements (TMEs) from Weathering of a Black Shale High Geological Background Areas in the Loushao Basin, Hunan Province, China: Pollution Characteristics and a Health Risk Assessment. Sustainability, 18(11), 5522. https://doi.org/10.3390/su18115522
