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Frontiers of Environmental Science & Engineering

ISSN 2095-2201

ISSN 2095-221X(Online)

CN 10-1013/X

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Front. Environ. Sci. Eng.    2024, Vol. 18 Issue (10) : 122    https://doi.org/10.1007/s11783-024-1882-6
Spatiotemporal characteristics and Monte Carlo simulation-based human health risk of heavy metals in soils from a typical coal-mining city in eastern China
Xiangyue Pan1, Xinrui Weng1, Lingyu Zhang1, Fang Chen2, Hui Li1(), Yunhua Zhang1()
1. Anhui Province Key Laboratory of Farmland Ecological Conservation and Pollution Prevention, College of Resources and Environment, Anhui Agricultural University, Hefei 230026, China
2. Agricultural Products Quality and Safety Center, Xuancheng 242000, China
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Abstract

● The spatiotemporal distribution of soil heavy metals from mining area was analyzed.

● The potential ecological risk of heavy metals in soil of Huainan mining area was analyzed.

● Monte Carlo method was used to analyze the health risks of heavy metals to humans.

Mining activities typically discharge considerable amounts of heavy metals into the environment, raising concerns about soil metal pollution, environmental security, and human well-being. Therefore, a systematic regional-scale investigation of soil heavy metal pollution in mining areas is necessary for soil management. In this study, 5817 soil samples from the Huainan coal mining area collected for studies conducted from 2000 to 2021 were compiled to quantify the pollution level and spatiotemporal variation of heavy metals (Cu, Pb, Zn, Cr, Cd, As, Hg, Ni, and Mn). The associated ecological health risk of heavy metals in soil was assessed using the Hakanson ecological hazard index, Monte Carlo simulation in conjunction with the total hazard quotient, and the hazard index. Cd was the top contaminant, followed by Hg. In terms of spatial distribution, heavy metal contamination was more severe in the eastern area of Fengtai and Datong districts, because these districts of Anhui Province are significant industrial regions. In addition, the results of the Monte Carlo evaluation of human health risks showed that the total noncarcinogenic risk of heavy metals in soil is below the acceptable level, while the carcinogenic risk was 5.97% for adults and 15.53% for children. As accounted for 57.4% of noncarcinogenic risk, Cr contributed 36.1% of carcinogenic risk. Compared with adults, children are more vulnerable to the carcinogenic and noncarcinogenic risks posed by heavy metals, with oral consumption being the primary exposure route. This research can provide useful details for protecting the environment and managing soil in a coal mining area.

Keywords Heavy metals      Spatiotemporal distribution      Ecological health risk assessment      Monte Carlo simulation      Coal mining area     
Corresponding Author(s): Hui Li,Yunhua Zhang   
Issue Date: 26 August 2024
 Cite this article:   
Yunhua Zhang,Hui Li,Fang Chen, et al. Spatiotemporal characteristics and Monte Carlo simulation-based human health risk of heavy metals in soils from a typical coal-mining city in eastern China[J]. Front. Environ. Sci. Eng., 2024, 18(10): 122.
 URL:  
https://academic.hep.com.cn/fese/EN/10.1007/s11783-024-1882-6
https://academic.hep.com.cn/fese/EN/Y2024/V18/I10/122
Mining district Longitude (E) Latitude (N)
Datong 117°03′11″ 32°37′57″
Dingji 116°38′49″ 32°49′42″
Guqiao 116°34′58″ 32°48′26″
Gubei 116°00′15″ 32°00′48″
Luohedianchang 117°05′42″ 32°40′54″
Jiulonggang 117°05′23″ 32°36′57″
Panji 116°48′58″ 32°46′58″
Panxie 116°32′37″ 32°41′34″
Panyi 116°48′36″ 32°46′12″
Xiejiaji 116°51′33″ 32°36′0″
Xieqiao 116°00′36″ 32°00′54″
Xinji 117°01′12″ 32°39′00″
Xinzhuangzi 116°50′22″ 32°37′27″
Zhangji 116°29′36″ 32°46′25″
Bagongshan 116°49′38″ 32°35′41″
Pansan 116°41′45″ 32°47′30″
Zhujidong 116°45′00″ 32°50′15″
Tab.1  Distribution coordinates of Huainan coal mines
Elements Number of samples Minimum Median Maximum Mean SD CV (%) Huainan average a Average background values in China b RSV c
Cd 6965 0.000356 0.80 5.00 0.77 0.52 67.5 0.06 0.09 0.6
Cr 6195 0.34 186.57 393.50 157.85 93.34 59.13 91.53 61 300
Hg 4388 0.000275 0.11 11.67 0.15 0.32 213.33 0.04 0.04 0.6
As 2199 1.32 14.76 241.00 14.51 12.90 88.90 10.45 11.2 25
Pb 8484 0.14 43.60 1688.00 39.49 43.12 109.19 23.52 26 140
Cu 6844 0.05 39.61 87.11 35.28 12.29 34.84 30.69 22.6 200
Zn 6525 0.26 157.20 2031.83 189.88 175.06 92.20 58.35 74.2 250
Ni 5924 10.00 38.50 953.00 37.75 35.37 93.70 32.03 26.9 100
Mn 3505 261.00 420.75 729.51 445.34 79.26 17.80 825.63 583
Tab.2  Descriptions of the total contents of the nine potentially harmful trace elements in soil
Fig.1  Igeo of heavy metals in soil.
Fig.2  Variation of heavy metal content in soil from 2000 to 2021 (The red curve is the result of a time-varying polynomial fit curve, and the pink area is the 95% confidence interval).
Fig.3  Spatial variation of the content of heavy metals in soils from study area.
Elements E rn
Mean(contribution rate) Median Minimum Maximum
Cd 387.00(67.91%) 399.50 5.00 2500
Cr 2.00 (0.35%) 2.36 0.004 4.99
Hg 153.85 (27.00%) 28.00 0.073 3112
As 10.00 (1.75%) 10.17 0.91 166.09
Pb 5.00 (0.88%) 5.52 0.02 213.72
Cu 5.00 (0.88%) 5.61 0.01 12.35
Zn 1.00 (0.18%) 0.83 0.001 10.70
Ni 1.00 (0.18%) 1.02 0.26 25.25
Mn 5.00 (0.88%) 4.72 2.93 8.19
PERI 569.85 457.73 9.21 6053.29
Tab.3  Potential ecological risks of heavy metals in the soil from the mining area
Fig.4  Contribution of PERI in soils.
Elements HQing HQinh HQderm HQtotal
Adults Children Adults Children Adults Children Adults Children
Cd 2.47E−04 1.51E−03 1.45E−07 1.69E−07 4.93E−04 1.70E−03 7.40E−04 3.21E−03
Cr 1.68E−02 8.83E−03 1.04E−03 1.21E−03 3.35E−04 1.15E−03 1.82E−02 1.12E−02
Hg 3.97E−04 9.73E−04 2.28E−07 2.65E−07 7.72E−06 2.66E−05 4.05E−04 1.00E−03
As 1.54E−02 9.46E−02 9.08E−09 1.06E−08 2.25E−02 7.76E−02 3.80E−02 1.72E−01
Pb 3.60E−03 2.21E−02 2.11E−06 2.45E−06 4.79E−04 1.65E−03 4.08E−03 2.37E−02
Cu 2.81E−04 1.73E−03 1.65E−07 1.92E−07 1.87E−05 6.44E−05 3.00E−04 1.79E−03
Zn 2.02E−04 1.24E−03 1.19E−07 5.64E−08 2.01E−05 6.94E−05 2.22E−04 1.31E−03
Ni 6.02E−04 3.69E−03 7.87E−05 9.17E−05 4.45E−06 1.53E−05 6.85E−04 3.80E−03
Mn 3.55E−03 2.18E−02 4.18E−06 4.87E−06 2.03E−05 6.97E−05 3.58E−03 2.19E−02
HI Adults 6.61E−02
Children 2.40E−01
Tab.4  Noncarcinogenic risks to humans from soil
Fig.5  Distribution of noncarcinogenic risk for adults.
Fig.6  Distribution of noncarcinogenic risk for children.
Elements CRing CRinh CRderm CRtotal
Adults Children Adults Children Adults Children Adults Children
Cd 5.17E−07 7.92E−07 3.14E−10 9.14E−11 1.03E−08 8.87E−09 5.27E−07 8.01E−07
Cr 8.64E−06 1.32E−05 4.27E−07 1.24E−07 6.89E−06 5.93E−06 1.60E−05 1.93E−05
As 2.38E−06 3.65E−06 1.41E−08 4.11E−09 3.48E−06 2.99E−06 5.87E−06 6.65E−06
Cu 6.56E−06 1.01E−05 3.27E−06 2.82E−06 9.84E−06 1.29E−05
Ni 7.02E−06 1.08E−05 2.04E−09 5.94E−10 3.50E−06 3.01E−06 1.05E−05 1.38E−05
TCR Adults 4.27E−05
Children 5.34E−05
Tab.5  Carcinogenic risks to humans from soil
Fig.7  Distribution of carcinogenic risk for adults.
Fig.8  Distribution of carcinogenic risk for children.
Fig.9  Probability distribution of noncarcinogenic risk for residents.
Fig.10  Probability distribution of carcinogenic risk for residents.
Fig.11  Results of sensitivity analysis.
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