A comprehensive exploration on the health risk quantification assessment of soil potentially toxic elements from different sources around large-scale smelting area

Huang, Chang‐Chen; Cai, Li‐Xuan; Xu, Ying; Luo, Jie; Chen, Laiguo; Hu, Guocheng; Jiang, Hui-Hao; Xu, Xu-Bang; Mei, Jing-Xian

doi:10.1007/s10661-022-09804-0

Cited by 41 publications

(7 citation statements)

References 42 publications

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“…† Many previous studies stated that the heavy metal contents are higher in soils adjacent to industrial lands. 10,47,49 The present study found that both heavy metal contents and their increments in soils near industrial lands are higher.…”

Section: Increment Of Soil Heavy Metal Pollutionsupporting

confidence: 53%

“…4, the higher ecological risk is mainly located in the central area during 2016–2019, which is in accordance with previous studies. 10,46,47 As reported in these research studies, long-term industrial and mining activities in the central area caused severe soil heavy metal pollution.…”

Section: Resultsmentioning

confidence: 78%

“…Moreover, some researchers also explored the contribution of pollution sources and heavy metal to pollution risk under different land uses by combining risk assessment indices and source apportionment methods, which quantitatively revealed the contributing sources and spatial heterogeneity of soil heavy metal pollution risks. [10][11][12] However, soil heavy metal pollution usually has temporal variation due to its enrichment, diffusion, and the inuence of anthropogenic activities. 13,14 Thus, only monitoring the spatiotemporal pattern of soil heavy metals can provide more valid recommendations for pollution control.…”

Section: Introductionmentioning

confidence: 99%

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Spatiotemporal patterns of soil heavy metal pollution risk and driving forces of increment in a typical industrialized region in central China

Yang

2023

Environ. Sci.: Processes Impacts

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Section: Increment Of Soil Heavy Metal Pollutionsupporting

confidence: 53%

Section: Resultsmentioning

confidence: 78%

Section: Introductionmentioning

confidence: 99%

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Spatiotemporal patterns of soil heavy metal pollution risk and driving forces of increment in a typical industrialized region in central China

Yang

2023

Environ. Sci.: Processes Impacts

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“…As a typical receptor model, PMF was exploited for the identification of sources and quantification of source contributions to the objective variable. The model mainly analyzes the data by decomposing the original matrix into a contribution matrix and a factor allocation matrix, and meanwhile, quantitatively describes the contribution of each sample (Huang et al, 2022; Wang et al, 2021b). The calculation axiom and formula of PMF were exhibited in the Data S1.…”

Section: Methodsmentioning

confidence: 99%

Quantitative analysis of ecological risk and human health risk of potentially toxic elements in farmland soil using the PMF model

Huang

Cai

et al. 2022

Land Degrad Dev

Self Cite

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Potentially toxic element (PTE) pollution in farmland soil is a global problem. It is vital to clarify the contributions of farmland soil PTE from different sources to potential ecological risk (PER) and human health risks (HHR), but the existing research methods were incomplete. This study explored a comprehensive scheme that combined source contribution and risk assessment to quantitatively assess PER, HHR and the priority pollution sources. enrichment factor (EF) and pollution load index (PLI) were utilized to estimate the features of enrichment and contamination of PTE in farmland soil. Furthermore, spatial distribution characteristics of PTE and positive matrix factorization (PMF) were combined to distinguish and ascertain the sources of PTE, and the PER and HHR model based on PMF were applied to evaluate the ecological and human health risks in different sources. Taking Puning District as an example, four sources of farmland soil PTE were quantitatively allocated. For ecological risk, the study area was at moderate ecological hazard, with industrial activities (53.67%) contributing the most. The mean of Hg was 69.82, reaching medium ecological risk. For human health risks, both adults and children had no non-carcinogenic risk in the study area, and the natural source was the greatest contributor, followed by agricultural activities. The total carcinogenic risk index (TCRI) values for adults and children were 1.40E-05 and 2.75E-05, respectively, showing no significant carcinogenic risk. Furthermore, compared with adults, the health risks of children, whether noncarcinogenic or carcinogenic, were higher than those of adults.

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“…A PMF model was used to identify and distribute sources of heavy metals in soil [ 40 , 41 ]. We used EPA PMF 5.0 software, employing set factor (2–6) and operation (20) numbers to compare the Q r /Q e values one by one for different factors to determine the optimal factor number.…”

Section: Resultsmentioning

confidence: 99%

Characteristics of Soil Heavy Metal Pollution and Health Risk Assessment in Urban Parks at a Megacity of Central China

Lü

Cai

et al. 2023

Toxics

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In this study, we compared the concentrations of the heavy metals Cd, Cr, Cu, Zn, Ni, and Pb in the surface soils of urban parks in Wuhan, Hubei Province, with those in the surface soils of urban parks worldwide. The soil contamination data were assessed using enrichment factors and spatial analysis of heavy metals using inverse distance weighting and quantitative analysis of heavy metal sources with a positive definite matrix factor (PMF) receptor model. Further, a probabilistic health risk assessment of children and adults using Monte Carlo simulation was performed. The average Cd, Cr, Cu, Zn, Ni, and Pb concentrations in the surface soils of urban parks were 2.52, 58.74, 31.39, 186.28, 27.00, and 34.89 mg·kg−1, respectively, which exceeded the average soil background values in Hubei. From the inverse distance spatial interpolation map, heavy metal contamination was primarily observed to be present to the southwest of the main urban area. The PMF model resolved four sources: mixed traffic and industrial emission, natural, agricultural, and traffic sources, with relative contributions of 23.9%, 19.3%, 23.4%, and 33.4%, respectively. The Monte Carlo health risk evaluation model demonstrated negligible noncancer risks for both adult and child populations, whereas the health effects of Cd and Cr on children were a concern for cancer risks.

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A comprehensive exploration on the health risk quantification assessment of soil potentially toxic elements from different sources around large-scale smelting area

Cited by 41 publications

References 42 publications

Spatiotemporal patterns of soil heavy metal pollution risk and driving forces of increment in a typical industrialized region in central China

Spatiotemporal patterns of soil heavy metal pollution risk and driving forces of increment in a typical industrialized region in central China

Quantitative analysis of ecological risk and human health risk of potentially toxic elements in farmland soil using the PMF model

Characteristics of Soil Heavy Metal Pollution and Health Risk Assessment in Urban Parks at a Megacity of Central China

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