Geographic distribution of heavy metals and identification of their sources in soils near large, open-pit coal mines using positive matrix factorization

Cheng, Wei; Lei, Shaogang; Bian, Zhengfu; Zhao, Yibo; Li, Yuncong; Gan, Yandong

doi:10.1016/j.jhazmat.2019.121666

Cited by 120 publications

(49 citation statements)

References 49 publications

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“…Copper, Ni, and Cr have been demonstrated to be the indicators of a natural origin in a soil study by Jiang et al (2020). Nickel has also been identified as being from natural sources (Cheng et al, 2020). Chromium and Fe by Liang et al, 2017, Cr andNi by Jin andLv (2020).…”

Section: Positive Matrix Factorizationmentioning

confidence: 99%

“…In this study, based on the data from sampling points, a spatial interpolation using ordinary kriging enables an evaluation even for the unsampled area. This GIS approach has been used in numerous soil pollution studies (Dragović et al, 2014;Liang et al, 2017;Cheng et al, 2020;Jin and Lv, 2020). Soils concentration patterns of the studied metals are presented in Figure 2.…”

Section: Spatial Distributionmentioning

confidence: 99%

“…Positive matrix factorization (PMF) is a source apportionment method capable of dealing with missing data, error estimate, and the contribution rate of each source at each sampling site (Paatero and Tapper, 1994). This method is widely used nowadays (Cheng et al, 2020;Jiang et al, 2020;Jin and Lv, 2020;Li et al, 2020) and pinpoints soil metal sources, based on their composition fingerprints. The PMF approach is based on the chemical mass balance equations, using a factor analysis (FA) method with a weighted least-squares algorithm, and non-negative constraints on the factors.…”

Section: Introductionmentioning

confidence: 99%

“…The PMF approach is based on the chemical mass balance equations, using a factor analysis (FA) method with a weighted least-squares algorithm, and non-negative constraints on the factors. The uncertainties for individual data results (U) may be estimated using the following equation (Liang et al, 2017;Cheng et al, 2020;Jin and Lv, 2020):…”

Section: Introductionmentioning

confidence: 99%

“…By using geostatistical interpolation it is possible to get information, even for an area that is not sampled. Spatial visualization has been used extensively in risk assessment studies of heavy metals in soils (Dragović et al, 2014;Škrbić et al, 2018;Zhao et al, 2019;Cheng et al, 2020;Jiang et al, 2020;Jin and Lv, 2020).…”

Section: Introductionmentioning

confidence: 99%

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Ecological Risk Assessment of Heavy Metals in the Soil at a Former Painting Industry Facility

Radomirović

Cirovic

Maksin

et al. 2020

Front. Environ. Sci.

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Soil samples from the site of the former largest paint and varnish factory in ex-Yugoslavia were analyzed for arsenic and eight heavy metals (Pb, Cd, Zn, Cr, Ni, Cu, Fe, and Hg). Several additional soil properties (pH, sulfur, nitrogen, phosphorus, and water content) were also measured. Multivariate analysis showed strong correlations between Pb and Zn; and a moderate correlation between Cu and Ni. There was no correlation between heavy metals and any of the analyzed soil properties parameters. A factor analysis grouped most heavy metals, except Cd, which showed different behavior, and Fe and As, which associated with soil properties. The soil samples were clustered into two distinctive groups. Positive matrix factorization receptor modeling clearly identified Zn and Pb as belonging to the traffic vehicle factor. The second factor dominating arsenic was industrial chemical emissions, while the third factor containing most of the heavy metals was attributed to natural background variation. The last non-metallic factor, dominated by sulfur, was the result of past activities in the paint facility. The average enrichment factor values were for the metals analyzed were: 0.73; 0.71; 2.4; 0.58; 2.3; 0.87; 1.6; and 0.76; for Cr, Cd, Pb, Ni, Zn, Cu, As, and Hg, respectively. Only moderate soil enrichment by Pb and Zn was found. The geoaccumulation index values showed a moderately polluted soil with Pb and Zn, but most contributing to the ecological risk were Cd with 63% and Hg with 19%. These two metals are of major concern in this case study due to their high toxicity, even though they are present at very low concentrations. Generally, a moderate ecological risk was estimated for most soil samples, except for a small number of high-risk samples. Spatial distribution mapped three severely polluted sub-areas. In general, the paint and varnish industry moderately contributes to the contamination of soil. The main ecological risk from metal contamination is not related to the paint technological production process itself, but from other activities at the site that deposit of heavy metals into the soil.

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Section: Positive Matrix Factorizationmentioning

confidence: 99%

Section: Spatial Distributionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Ecological Risk Assessment of Heavy Metals in the Soil at a Former Painting Industry Facility

Radomirović

Cirovic

Maksin

et al. 2020

Front. Environ. Sci.

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Do Crops Grown at Urban Dumpsites Contain Metals at Levels that Pose Unacceptable Health Risks to Consumers?

Awino,

Maher,

Fai

2024

Enviro Toxic and Chemistry

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Excessive dietary metal intake from crops grown on contaminated urban dumpsites poses a global health risk to consumers. We evaluated the health risk to adult and child consumers from dietary exposure to metals and metalloids in crops cultivated at the Mbale (Uganda) dumpsite centre. Thirteen crop types grown on the dumpsite soil were sampled and analyzed for concentrations of 11 metals: Fe, Al, Zn, Mn, Cu, Pb, Cr, Hg, Co, Ni, Cd, and two metalloids: Se and As. Different proportions of the crops were combined into 12 meal classes to simulate the diets of residents and estimate noncancer and cancer risks. The findings indicated that most individual crop types and simulated diets lacked sufficient selenium for bodily functions. Furthermore, their metal accumulations exceeded the Food and Agriculture Organization (FAO) and the World Health Organization (WHO) permissible limits (mg/kg) for Al (20), Fe (100), Ni (10), Cu (20), Mn (10), Pb (0.3), Se (0.05), and Zn (99.4). The four most abundant metals in the various crop types and diets were Al, Fe, Mn, and Zn. A positive correlation between the metals in the crops indicated a common origin, which could possibly be the dumpsite soil. The chronic dietary intake (CDI) of metals was higher in children, and thus children faced higher noncancer and cancer risks compared with adults. The overall CDI values for each metal ranged from 0.000718 to 2.171 in adults, and 0.00125 to 3.781662 in children, which is approximately 1.74 times higher in children than in adult consumers. The noncancer and cancer risks ranged from moderate to high with Co, Cr, Fe, Mn, and Zn being mostly responsible for the high noncancer risks, and Al being the predominant contributor to cancer risks. The total noncancer risk levels equally ranged from moderate (1.4–3.3) for adults, and moderate to high (2.4–5.7) for children; the cancer risks were moderate to high in adults, with Al contributing to between 68% and 92% of the total risks across the 12 meal classes. Overall, CDI values and noncancer and cancer risks were all higher in children than in adults. The vegetables Amaranthus hybridus, Vigna unguiculate, Amaranthus dubius, and Cucurbita maxima significantly contributed to the high noncancer risk to both adults and children, particularly when they constituted 40% or more of the meal. Four additional vegetables (Cocorhrous olitorous, Brassica oleracea, Amaranthus cruentus, and Gynandropsis gynandra) also posed a high risk to children when consumed in large quantities. Our results highlight the urgent need to develop regulatory frameworks and/or rigorously enforce existing land and food governance policies to protect consumers' health from unsafe metal concentrations in crops grown on dumpsites. Environ Toxicol Chem 2024;00:1–17. © 2024 The Author(s). Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.

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Towards sustainable and efficient land development: Risk of soil heavy metal(loid)s in abandoned gold mines with short‐term rehabilitation and potential value for targeted remediation

et al. 2022

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Recently sustainable and efficient land development and the potential reutilization values of abandoned mines (i.e., industrial, arable, and tourism) have been attracting worldwide attention. However, environmental impacts after rehabilitation practices are often ignored and field data are lacking. What remains unknown is an understanding how the risk of soil trace metal(loid)s (TMs) respond to short-term rehabilitation of abandoned gold mines and the potential value for following targeted remediation. We found that a high level of TM cadmium (Cd) and arsenic (As)] contamination and significant health risk to humans, limited land reutilization in rehabilitation scenarios. Feedback from soil TMs to rehabilitation is of potential value for following targeted remediation. Specifically, (1) the major pollutants we studied were Cd and As. Cadmium poses a considerable ecological risk as evidenced by I geo , contamination factor, E i r and risk assessment code, and a much higher bioavailability evidenced by non-residual fractions (42.42%). Arsenic has the lowest environmental availability with 90.99% in residual fraction; (2) spatial distributions of TMs were similar. Sites with serious contamination were mainly located in the southwest of the study area, close to the abandoned mine; Results of principal component analysis suggested that mining activities were the main anthropogenic pollution sources;(3) there was no non-carcinogenic risk and a higher carcinogenic risk was found in adults than in children. Targeted remediation techniques are needed to mitigate carcinogenic risks posed by As and Cr. This study emphasized the necessity of assessment of soil TMs risk in abandoned gold mines with short-term rehabilitation and offered crucial data utilized to optimize time parameters (short-term) towards sustainable and efficient land development.

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Geographic distribution of heavy metals and identification of their sources in soils near large, open-pit coal mines using positive matrix factorization

Cited by 120 publications

References 49 publications

Ecological Risk Assessment of Heavy Metals in the Soil at a Former Painting Industry Facility

Ecological Risk Assessment of Heavy Metals in the Soil at a Former Painting Industry Facility

Do Crops Grown at Urban Dumpsites Contain Metals at Levels that Pose Unacceptable Health Risks to Consumers?

Towards sustainable and efficient land development: Risk of soil heavy metal(loid)s in abandoned gold mines with short‐term rehabilitation and potential value for targeted remediation

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