|
|
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 |
|
|
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
|
|
1 |
N Adimalla. (2020). Heavy metals pollution assessment and its associated human health risk evaluation of urban soils from Indian cities: a review. Environmental Geochemistry and Health, 42(1): 173–190
https://doi.org/10.1007/s10653-019-00324-4
|
2 |
N Adimalla, H Wang. (2018). Distribution, contamination, and health risk assessment of heavy metals in surface soils from northern Telangana, India. Arabian Journal of Geosciences, 11: 684
https://doi.org/10.1007/s12517-018-4028-y
|
3 |
B J Alloway. (2013). Sources of heavy metals and metalloids in soils. Heavy Metals in Soils: Trace Metals and Metalloids in Soils and Their Bioavailability, 35: 11–50
https://doi.org/10.1007/978-94-007-4470-7
|
4 |
H Baltas, M Sirin, E Gökbayrak, A E Ozcelik. (2020). A case study on pollution and a human health risk assessment of heavy metals in agricultural soils around Sinop province, Turkey. Chemosphere, 241: 125015
https://doi.org/10.1016/j.chemosphere.2019.125015
|
5 |
J Bandara, D Senevirathna, D Dasanayake, V Herath, J Bandara, T Abeysekara, K H Rajapaksha. (2008). Chronic renal failure among farm families in cascade irrigation systems in Sri Lanka associated with elevated dietary cadmium levels in rice and freshwater fish (Tilapia). Environmental Geochemistry and Health, 30(5): 465–478
https://doi.org/10.1007/s10653-007-9129-6
|
6 |
K Bao, G He, J Ruan, Y Zhu, X Hou. (2022). Analysis on the resource and environmental carrying capacity of coal city based on improved system dynamics model: a case study of Huainan, China. Environmental Science and Pollution Research International, 30(13): 36728–36743
https://doi.org/10.1007/s11356-022-24715-w
|
7 |
M Barbieri, A Nigro, G Sappa. (2015). Soil contamination evaluation by enrichment factor (EF) and geoaccumulation index (Igeo). Senses & Sciences, 2(3): 94–97
https://doi.org/10.14616/sands-2015-3-9497
|
8 |
H Chen, Y Teng, S Lu, Y Wang, J Wang (2015). Contamination features and health risk of soil heavy metals in China. Science of the Total Environment, 512–512–: 143–153
|
9 |
L Chen, J Liu, W Zhang, Q Li, Y Hu, L Wang, G Hu, J Wang. (2022a). Increased ecological and health risks associated with potentially toxic trace elements in agricultural soil adversely affected by gold (Au) mining activities. Journal of Soils and Sediments, 22: 509–521
https://doi.org/10.1007/s11368-021-03078-8
|
10 |
M Chen, X Chen, Y Xing, Y Liu, S Zhang, D Zhang, J Zhu. (2021). Arsenic and cadmium in soils from a typical mining city in Huainan, China: spatial distribution, ecological risk assessment and health risk assessment. Bulletin of Environmental Contamination and Toxicology, 107(6): 1080–1086
https://doi.org/10.1007/s00128-021-03278-5
|
11 |
X Chen, L Gao, Y Hu, L Luan, R Tong, J Zhang, H Wang, X Zhou. (2022b). Distribution, sources, and ecological risk assessment of HCHs and DDTs in water from a typical coal mining subsidence area in Huainan, China. Environmental Science and Pollution Research International, 29(40): 59985–59995
https://doi.org/10.1007/s11356-022-20087-3
|
12 |
L Cui, J Li, X Gao, B Tian, J Zhang, X Wang, Z Liu. (2022). Human health ambient water quality criteria for 13 heavy metals and health risk assessment in Taihu Lake. Frontiers of Environmental Science & Engineering, 16(4): 41
https://doi.org/10.1007/s11783-021-1475-6
|
13 |
X Dai, J Liang, H Shi, T Yan, Z He, L Li, H Hu. (2024). Health risk assessment of heavy metals based on source analysis and Monte Carlo in the downstream basin of the Zishui. Environmental Research, 245: 117975
https://doi.org/10.1016/j.envres.2023.117975
|
14 |
X Deng, G Chen, H Wang, H Sun. (2023). Pollution characteristics and risk evaluation of PAHs in subsidence water bodies in Huainan Coal Mining Area, China. Sustainability, 15(18): 14003
https://doi.org/10.3390/su151814003
|
15 |
Z Dong, Y Liu, L Duan, D Bekele, R Naidu. (2015). Uncertainties in human health risk assessment of environmental contaminants: a review and perspective. Environment International, 85: 120–132
https://doi.org/10.1016/j.envint.2015.09.008
|
16 |
USE EmergencyPA, Response R (1989). Risk Assessment Guidance for Superfund, Part A. Human health evaluation manual. Environmental Protection Agency: Office of Emergency and Remedial Response
|
17 |
H Fang, H Gui, H Yu, J Li, M Wang, Y Jiang, C Wang, C Chen. (2021). Characteristics and source identification of heavy metals in abandoned coal-mining soil: a case study of Zhuxianzhuang Coal Mine in Huaibei Coalfield (Anhui, China). Human and Ecological Risk Assessment, 27(3): 708–723
https://doi.org/10.1080/10807039.2020.1750346
|
18 |
C Fu, J Guo, J Pan, J Qi, W Zhou. (2009). Potential ecological risk assessment of heavy metal pollution in sediments of the Yangtze River within the Wanzhou section, China. Biological Trace Element Research, 129(1–3): 270–277
https://doi.org/10.1007/s12011-008-8300-y
|
19 |
Y Gao, H Qian, Y Zhou, J Chen, H Wang, W Ren, W Qu. (2022). Cumulative health risk assessment of multiple chemicals in groundwater based on deterministic and Monte Carlo models in a large semiarid basin. Journal of Cleaner Production, 352: 131567
https://doi.org/10.1016/j.jclepro.2022.131567
|
20 |
L Hakanson. (1980). An ecological risk index for aquatic pollution control: a sedimentological approach. Water Research, 14(8): 975–1001
https://doi.org/10.1016/0043-1354(80)90143-8
|
21 |
J Huang, Y Wu, J Sun, X Li, X Geng, M Zhao, T Sun, Z Fan. (2021). Health risk assessment of heavy metal(loid)s in park soils of the largest megacity in China by using Monte Carlo simulation coupled with Positive matrix factorization model. Journal of Hazardous Materials, 415: 125629
https://doi.org/10.1016/j.jhazmat.2021.125629
|
22 |
J Ihedioha, P Ukoha, N Ekere. (2017). Ecological and human health risk assessment of heavy metal contamination in soil of a municipal solid waste dump in Uyo, Nigeria. Environmental Geochemistry and Health, 39(3): 497–515
https://doi.org/10.1007/s10653-016-9830-4
|
23 |
A Jamal, M A Delavar, A Naderi, N Nourieh, B Medi, A H Mahvi. (2019). Distribution and health risk assessment of heavy metals in soil surrounding a lead and zinc smelting plant in Zanjan, Iran. Human and Ecological Risk Assessment, 25(4): 1018–1033
https://doi.org/10.1080/10807039.2018.1460191
|
24 |
X Jia, T Fu, B Hu, Z Shi, L Zhou, Y Zhu. (2020). Identification of the potential risk areas for soil heavy metal pollution based on the source-sink theory. Journal of Hazardous Materials, 393: 122424
https://doi.org/10.1016/j.jhazmat.2020.122424
|
25 |
X Jiang, W Lu, H Zhao, Q Yang, Z Yang. (2014). Potential ecological risk assessment and prediction of soil heavy-metal pollution around coal gangue dump. Natural Hazards and Earth System Sciences, 14(6): 1599–1610
https://doi.org/10.5194/nhess-14-1599-2014
|
26 |
M U Khan, N Rai, M K Sharma. (2022). Geochemical behavior and fate of arsenic in middle Gangetic plain, Terai region of India, and its health risk quantification using Monte Carlo simulation and sensitivity analysis. Groundwater for Sustainable Development, 19: 100811
https://doi.org/10.1016/j.gsd.2022.100811
|
27 |
V Kumar, A Sharma, P Kaur, G P Singh Sidhu, A S Bali, R Bhardwaj, A K Thukral, A Cerda. (2019). Pollution assessment of heavy metals in soils of India and ecological risk assessment: a state-of-the-art. Chemosphere, 216: 449–462
https://doi.org/10.1016/j.chemosphere.2018.10.066
|
28 |
M Lei, K Li, G Guo, T Ju. (2022). Source-specific health risks apportionment of soil potential toxicity elements combining multiple receptor models with Monte Carlo simulation. Science of the Total Environment, 817: 152899
https://doi.org/10.1016/j.scitotenv.2021.152899
|
29 |
H Li, H Ji. (2017). Chemical speciation, vertical profile and human health risk assessment of heavy metals in soils from coal-mine brownfield, Beijing, China. Journal of Geochemical Exploration, 183: 22–32
https://doi.org/10.1016/j.gexplo.2017.09.012
|
30 |
H Li, W Xu, M Dai, Z Wang, X Dong, T Fang. (2019). Assessing heavy metal pollution in paddy soil from coal mining area, Anhui, China. Environmental Monitoring and Assessment, 191: 518
https://doi.org/10.1007/s10661-019-7659-x
|
31 |
Q Li, Y Wang, Y Li, L Li, M Tang, W Hu, L Chen, S Ai. (2022). Speciation of heavy metals in soils and their immobilization at micro-scale interfaces among diverse soil components. Science of the Total Environment, 825: 153862
https://doi.org/10.1016/j.scitotenv.2022.153862
|
32 |
Z Li, Z Ma, T J Van Der Kuijp, Z Yuan, L Huang. (2014). A review of soil heavy metal pollution from mines in China: pollution and health risk assessment. Science of the Total Environment, 468–469: 843–853
https://doi.org/10.1016/j.scitotenv.2013.08.090
|
33 |
K Liu, X Guan, C Li, K Zhao, X Yang, R Fu, Y Li, F Yu. (2022). Global perspectives and future research directions for the phytoremediation of heavy metal-contaminated soil: a knowledge mapping analysis from 2001 to 2020. Frontiers of Environmental Science & Engineering, 16(6): 73
https://doi.org/10.1007/s11783-021-1507-2
|
34 |
R Liu, C Men, Y Liu, W Yu, F Xu, Z Shen. (2016). Spatial distribution and pollution evaluation of heavy metals in Yangtze estuary sediment. Marine Pollution Bulletin, 110(1): 564–571
https://doi.org/10.1016/j.marpolbul.2016.05.060
|
35 |
X Liu, H Shi, Z Bai, W Zhou, K Liu, M Wang, Y He. (2020). Heavy metal concentrations of soils near the large opencast coal mine pits in China. Chemosphere, 244: 125360
https://doi.org/10.1016/j.chemosphere.2019.125360
|
36 |
X Luo, C Wu, Y Lin, W Li, M Deng, J Tan, S Xue. (2023). Soil heavy metal pollution from Pb/Zn smelting regions in China and the remediation potential of biomineralization. Journal of Environmental Sciences, 125: 662–677
https://doi.org/10.1016/j.jes.2022.01.029
|
37 |
A Mallongi, A U Rauf, A Daud, M Hatta, W Al-Madhoun, R Amiruddin, S Stang, A Wahyu, R D P Astuti. (2022). Health risk assessment of potentially toxic elements in Maros karst groundwater: a Monte Carlo simulation approach. Geomatics, Natural Hazards & Risk, 13(1): 338–363
https://doi.org/10.1080/19475705.2022.2027528
|
38 |
Y B Man, X L Sun, Y G Zhao, B N Lopez, S S Chung, S C Wu, K C Cheung, M H Wong. (2010). Health risk assessment of abandoned agricultural soils based on heavy metal contents in Hong Kong, the world’s most populated city. Environment International, 36(6): 570–576
https://doi.org/10.1016/j.envint.2010.04.014
|
39 |
M Rastegari Mehr, B Keshavarzi, F Moore, R Sharifi, A Lahijanzadeh, M Kermani. (2017). Distribution, source identification and health risk assessment of soil heavy metals in urban areas of Isfahan province, Iran. Journal of African Earth Sciences, 132: 16–26
https://doi.org/10.1016/j.jafrearsci.2017.04.026
|
40 |
C Men, Y Wang, R Liu, Q Wang, Y Miao, L Jiao, M Shoaib, Z Shen. (2021). Temporal variations of levels and sources of health risk associated with heavy metals in road dust in Beijing from May 2016 to April 2018. Chemosphere, 270: 129434
https://doi.org/10.1016/j.chemosphere.2020.129434
|
41 |
MEP (2014) The ministry of land and resources report on the national soil contamination survey
|
42 |
A Mohammadpour, E Gharehchahi, A Badeenezhad, I Parseh, R Khaksefidi, M Golaki, R Dehbandi, A Azhdarpoor, Z Derakhshan, J Rodriguez-Chueca. et al.. (2022). Nitrate in groundwater resources of Hormozgan Province, southern Iran: concentration estimation, distribution and probabilistic health risk assessment using Monte Carlo simulation. Water, 14(4): 564
https://doi.org/10.3390/w14040564
|
43 |
G Muller. (1969). Index of geoaccumulation in sediments of the Rhine River. GeoJournal, 2: 108–118
|
44 |
Y Pan, Y Li, H Peng, Y Yang, M Zeng, Y Xie, Y Lu, H Yuan. (2023). Relationship between groundwater cadmium and vicinity resident urine cadmium levels in the non-ferrous metal smelting area, China. Frontiers of Environmental Science & Engineering, 17(5): 56
https://doi.org/10.1007/s11783-023-1656-6
|
45 |
A K Patlolla, T I Todorov, P B Tchounwou, G Van Der Voet, J A Centeno. (2012). Arsenic-induced biochemical and genotoxic effects and distribution in tissues of Sprague–Dawley rats. Microchemical Journal, 105: 101–107
https://doi.org/10.1016/j.microc.2012.08.013
|
46 |
J Y Peng, S Zhang, Y Han, B Bate, H Ke, Y Chen. (2022). Soil heavy metal pollution of industrial legacies in China and health risk assessment. Science of the Total Environment, 816: 151632
https://doi.org/10.1016/j.scitotenv.2021.151632
|
47 |
G Qin, Z Niu, J Yu, Z Li, J Ma, P Xiang. (2021). Soil heavy metal pollution and food safety in China: effects, sources and removing technology. Chemosphere, 267: 129205
https://doi.org/10.1016/j.chemosphere.2020.129205
|
48 |
H Qiu, H Gui, P Fang, G Li. (2021). Groundwater pollution and human health risk based on Monte Carlo simulation in a typical mining area in Northern Anhui Province, China. International Journal of Coal Science & Technology, 8(5): 1118–1129
https://doi.org/10.1007/s40789-021-00446-0
|
49 |
Q Tang, L Li, S Zhang, L Zheng, C Miao. (2018). Characterization of heavy metals in coal gangue-reclaimed soils from a coal mining area. Journal of Geochemical Exploration, 186: 1–11
https://doi.org/10.1016/j.gexplo.2017.11.018
|
50 |
G Tepanosyan, L Sahakyan, O Belyaeva, S Asmaryan, A Saghatelyan. (2018). Continuous impact of mining activities on soil heavy metals levels and human health. Science of the Total Environment, 639: 900–909
https://doi.org/10.1016/j.scitotenv.2018.05.211
|
51 |
C Wang, C Ducruet. (2014). Transport corridors and regional balance in China: the case of coal trade and logistics. Journal of Transport Geography, 40: 3–16
https://doi.org/10.1016/j.jtrangeo.2014.08.009
|
52 |
Y Wu, X Li, L Yu, T Wang, J Wang, T Liu. (2022). Review of soil heavy metal pollution in China: spatial distribution, primary sources, and remediation alternatives. Resources, Conservation and Recycling, 181: 106261
https://doi.org/10.1016/j.resconrec.2022.106261
|
53 |
Q Xiang, H Yu, H Chu, M Hu, T Xu, X Xu, Z He. (2022). The potential ecological risk assessment of soil heavy metals using self-organizing map. Science of the Total Environment, 843: 156978
https://doi.org/10.1016/j.scitotenv.2022.156978
|
54 |
S Yang, L Sun, Y Sun, K Song, Q Qin, Z Zhu, Y Xue. (2023). Towards an integrated health risk assessment framework of soil heavy metals pollution: theoretical basis, conceptual model, and perspectives. Environmental Pollution, 316: 120596
https://doi.org/10.1016/j.envpol.2022.120596
|
55 |
S Yang, J Zhao, S X Chang, C Collins, J Xu, X Liu. (2019). Status assessment and probabilistic health risk modeling of metals accumulation in agriculture soils across China: a synthesis. Environment International, 128: 165–174
https://doi.org/10.1016/j.envint.2019.04.044
|
56 |
L Ying, L Shaogang, C Xiaoyang. (2016). Assessment of heavy metal pollution and human health risk in urban soils of a coal mining city in East China. Human and Ecological Risk Assessment, 22(6): 1359–1374
https://doi.org/10.1080/10807039.2016.1174924
|
57 |
M You, Y Huang, J Lu, C Li. (2015). Environmental implications of heavy metals in soil from Huainan, China. Analytical Letters, 48(11): 1802–1814
https://doi.org/10.1080/00032719.2014.999273
|
58 |
T Zerizghi, Q Guo, L Tian, R Wei, C Zhao. (2022). An integrated approach to quantify ecological and human health risks of soil heavy metal contamination around coal mining area. Science of the Total Environment, 814: 152653
https://doi.org/10.1016/j.scitotenv.2021.152653
|
59 |
J Zhang, Z Liu, B Tian, J Li, J Luo, X Wang, S Ai, X Wang. (2023a). Assessment of soil heavy metal pollution in provinces of China based on different soil types: from normalization to soil quality criteria and ecological risk assessment. Journal of Hazardous Materials, 441: 129891
https://doi.org/10.1016/j.jhazmat.2022.129891
|
60 |
X Zhang, Y Zhou, L Long, P Hu, M Huang, Y Chen, X Chen. (2023b). Prediction of the spatiotemporal evolution of vegetation cover in the Huainan mining area and quantitative analysis of driving factors. Environmental Monitoring and Assessment, 195: 776
https://doi.org/10.1007/s10661-023-11385-5
|
61 |
X Zhao, J Huang, J Lu, Y Sun. (2019). Study on the influence of soil microbial community on the long-term heavy metal pollution of different land use types and depth layers in mine. Ecotoxicology and Environmental Safety, 170: 218–226
https://doi.org/10.1016/j.ecoenv.2018.11.136
|
62 |
Z Zhou, Z Yang, Z Sun, Q Liao, Y Guo, J Chen. (2020). Multidimensional pollution and potential ecological and health risk assessments of radionuclides and metals in the surface soils of a uranium mine in East China. Journal of Soils and Sediments, 20(2): 775–791
https://doi.org/10.1007/s11368-019-02428-x
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|