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Lan Fu-ning, Zhao Yi, Li Jun, Zhu Xiu-qun. 2024. Health risk assessment of heavy metal pollution in groundwater of a karst basin, SW China. Journal of Groundwater Science and Engineering, 12(1): 49-61. doi: 10.26599/JGSE.2024.9280005
Citation: Lan Fu-ning, Zhao Yi, Li Jun, Zhu Xiu-qun. 2024. Health risk assessment of heavy metal pollution in groundwater of a karst basin, SW China. Journal of Groundwater Science and Engineering, 12(1): 49-61. doi: 10.26599/JGSE.2024.9280005

Health risk assessment of heavy metal pollution in groundwater of a karst basin, SW China

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  • Figure 1. 

    Figure 2. 

    Figure 3. 

    Figure 4. 

    Figure 5. 

    Table 1.  Values of parameters related to health risk assessment

    MetalPC
    (10−3/cm·h−1)
    SF/(kg·d)·mg−1RfD/mg·(kg·d)−1
    Drinking waterSkin penetrationDrinking waterSkin penetration
    Carcinogenic As 1.8 1.5 3.66 / /
    Cr 2 41 41 / /
    Cd 1 6.1 6.1 / /
    Non-carcinogenic Al 10 / / 0.14 0.14
    Cu 0.6 / / 0.04 0.012
    Pb 0.004 / / 0.0014 0.00042
    Zn 0.6 / / 0.3 0.01
    Fe 0.1 / / 0.3 0.045
    Ni 0.1 / / 0.02 0.0054
    Mn 0.1 / / 0.046 0.0018
    Hg 1.8 / / 0.0003 0.0003
    Note: *No reference standard value; PC, permeability coefficient; SF, slope factor; RfD, reference daily intake.
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    Table 2.  Concentrations of metals in the water of Nandong Groundwater River Basin (μg·L−1)

    Metals n=84ScopeAverageStandard deviationVariation coefficientExceed standard limitation (%)
    Al9.90–5,274.00440.04913.092.0838.10
    Cund–26.702.344.752.030
    Pbnd–124.003.6215.434.262.38
    Znnd–1,311.0082.39211.242.561.19
    Fend–7,790.00486.831,127.612.3226.19
    Cr1.10–10.703.472.080.600
    Cdnd–61.003.6310.342.857.14
    Ni0.78–13.902.992.220.740
    Mn2.44–2,035.00113.13276.852.4515.48
    Asnd–54.706.138.011.3117.86
    Hgnd–0.940.410.260.6340.48
    Metals n=84ChinaUS EPAWHO
    Drinking water (Limits)Surface water(Ⅲ)Ground water(Ⅲ)Drinking waterDrinking water
    Al200200200
    Cu1,0001,0001,0001,3002,000
    Pb1050101510
    Zn1,0001,0001,000
    Fe300300300
    Cr50505010050
    Cd55553
    Ni202070
    Mn100100100400
    As1050101010
    Hg10.11
    *nd means not detected, –means no corresponding reference value.
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    Table 3.  Pearson correlation matrix for metal elements and pH in the water samples

    n=84ECpHAlCuPbZnFeCrCdNiMnAsHg
    EC1.0000.164−0.0420.0830.0310.177−0.0640.0330.1240.1400.0230.1630.060
    pH1.0000.0450.0400.134−0.0220.0320.179−0.0700.1090.024−0.041−0.147
    Al1.0000.746**0.579**0.240*0.929**0.632**0.0370.916**0.652**0.290**−0.201
    Cu1.0000.756**0.692**0.700**0.479**0.1710.805**0.920**0.282**−0.172
    Pb1.0000.285**0.490**0.351**0.1120.690**0.486**0.268*−0.103
    Zn1.0000.1660.2100.469**0.327**0.757**0.0600.016
    Fe1.0000.641**0.0140.836**0.659**0.447**−0.207
    Cr1.0000.1990.643**0.431**0.169−0.292**
    Cd1.0000.0950.1410.0320.297**
    Ni1.0000.657**0.206−0.237*
    Mn1.0000.294**−0.154
    As1.000−0.014
    Hg1.000
    * Significant at 0.05 level.
    * * Significant at 0.01 level.
    EC means Electrical Conductivity
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    Table 4.  Annual per capita health risks caused by metals in different types of water though drinking water and skin penetration, respectively (a−1)

    Exposure wayMetalsGroundwaterSurface Water
    AdultsChildrenAdultsChildren
    Drinking water Carcinogenesis As /–1.93×10−5 /–2.30×10−5 6.91×10−7
    4.30×10−5
    8.24×10−7
    5.12×10−5
    Cr 5.11×10−5
    2.30×10−4
    6.09×10−5
    2.74×10−4
    2.36×10−5
    2.30×10−4
    2.81×10−5
    2.74×10−4
    Cd /–1.95×10−4 /–2.32×10−4 /–4.67×10−6 /–5.56×10−6
    No-carcinogenesis Al 4.53×10−11
    1.97×10−8
    5.39×10−11
    2.35×10−8
    3.70×10−11
    1.69×10−8
    4.41×10−11
    2.01×10−8
    Cu /–3.50×10−10 /–4.16×10−10 2.23×10−12
    2.70×10−10
    2.65×10−12
    3.21×10−10
    Pb /–4.64×10−8 /–5.53×10−8 /–1.64×10−8 /–1.95×10−8
    Zn /–2.29×10−9 /–2.73×10−9 /–7.67×10−11 /–9.13×10−11
    Fe /–8.31×10−9 /–9.90×10−9 /–1.36×10−8 /–1.62×10−8
    Ni 3.85×10−11
    3.64×10−10
    4.59×10−11
    4.34×10−10
    2.04×10−11
    2.86×10−10
    2.43×10−11
    3.40×10−10
    Mn 2.78×10−11
    2.31×10−8
    3.31×10−11
    2.76×10−8
    6.07×10−11
    1.44×10−8
    7.23×10−11
    1.72×10−8
    Hg /–1.54×10−9 /–1.83×10−9 /–1.64×10−9 /–1.96×10−9
    Drinking water Carcinogenesis As /–4.40×10−7 /–3.37×10−7 1.57×10−8
    9.78×10−7
    1.21×10−8
    7.49×10−7
    Cr 5.30×10−7
    2.38×10−6
    4.06×10−7
    1.83×10−6
    2.45×10−7
    2.38×10−6
    1.87×10−7
    1.83×10−6
    Cd /–1.01×10−6 /–7.74×10−7 /–2.42×10−8 /–1.85×10−8
    No-carcinogenesis Al 2.35×10−12
    1.02×10−9
    1.80×10−12
    7.83×10−10
    1.92×10−12
    8.75×10−10
    1.47×10−12
    6.71×10−10
    Cu /–3.62×10−12 /–2.78×10−12 2.31×10−14
    2.80×10−12
    1.77×10−14
    2.14×10−12
    Pb /–3.21×10−12 /–2.46×10−12 /–1.13×10−12 /–8.68×10−13
    Zn /–2.14×10−10 /–1.64×10−10 /–7.15×10−12 /–5.48×10−12
    Fe /–2.87×10−11 /–2.19×10−11 /–4.70×10−11 /–3.59×10−11
    Ni 7.39×10−14
    6.99×10−13
    5.66×10−14
    5.35×10−13
    3.92×10−14
    5.48×10−13
    3.00×10−14
    4.20×10−13
    Mn 3.68×10−13
    3.07×10−10
    2.82×10−13
    2.35×10−10
    8.04×10−13
    1.91×10−10
    6.16×10−13
    1.46×10−10
    Hg /–1.43×10−11 /–1.10−11 /–1.53×10−11 /–1.17×10−11
    “/”means no calculation results.
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  • Adewoyin OO, Kayode OT, Omeje O, et al. 2019. Risk assessment of heavy metal and trace elements contamination in groundwater in some parts of Ogun state. Cogent Engineering, 6(1): 1632555. DOI:10.1080/23311916.2019.1632555.

    Ameh EG. 2019. Geochemistry and multivariate statistical evaluation of major oxides, trace and rare earth elements in coal occurrences and deposits around Kogi east, Northern Anambra Basin, Nigeria. International Journal of Coal Science & Technology, 6(2): 260−273. DOI:10.1007/s40789-019-0247-4.

    Anthony E, Emmanuel DS, Jamel S, et al. 2022. Hydrogeochemical characteristics, sources and human health risk assessment of heavy metal dispersion in the mine pit water–surface water–groundwater system in the largest manganese mine in Ghana. Environmental Technology & Innovation, 102312.

    Ba JJ, Gao FF, Peng C, et al. 2022. Characteristics of nitrate and heavy metals pollution in Huixian Wetland and its health risk assessment. Alexandria Engineering Journal, 61(11): 9031−9042. DOI:10.1016/j.aej.2022.02.045.

    Bakyayita GK, Norrström AC, Kulabako RN. 2019. Assessment of levels, speciation, and toxicity of trace metal contaminants in selected shallow groundwater sources, surface runoff, wastewater, and surface water from designated streams in lake Victoria basin, Uganda. Journal of Environmental and Public Health, 6734017.

    Bilal B, Tatiana VC, Kirill AV, et al. 2021. The heavy metal pollution in groundwater, surface and spring water in phosphorite mining area of Tebessa (Aleria). Environmental nanotechnology, Monitoring & Management, 16: 1−10. DOI:10.1016/j.ennm.2021.100591.

    Duan XL, Zhao XG. 2014. Highlights of the Chinese exposure factors handbook (Adult). China Science Press, Beijing. (in Chinese)

    Duan XL, Zhao XG. 2016. Highlights of the Chinese exposure factors handbook (Children). China Environmental Science Press, Beijing. (in Chinese)

    EPA. 2006. Risk-based Concentration Table, http://www.epa.gov/reg3hwmd/risk/human/rbc/rbc1006.pdf.

    General Administration of Quality Supervision, Inspection and Quarantine of the P. R. China. 2017. Standardization Administration of the P. R. China. GB/T 14848—2017 Standard for Groundwater Quality. (in Chinese)

    Jiang Y, Wu Y, Groves C, et al. 2009. Natural and anthropogenic factors affecting the groundwater quality in the Nandong karst underground river system in Yunan, China. Journal of Contaminant Hydrology, 109: 49−61. DOI:10.1016/j.jconhyd.2009.08.001.

    Lan FN, Zhao Y, Jiang ZC, et al. 2022. Exploring long-term datasets of land use, economy, and demography variations in karst wetland areas to detect possible microclimate changes. Land Degradation & Development, 33: 2743−2756. DOI:10.1002/ldr.4302.

    Li J, Zhao Y, Zou SZ, et al. 2021. Metal pollutions and human health risks on groundwater from wet, normal, and dry periods in Huixian karst wetland, China. Environmental Science, 42(1). (in Chinese)

    Li J, Zou SZ, Liang YP, et al. 2020a. Metal distributions and human health risk assessments on waters in Huixian Karst wetland, China. Environmental Science, 41(11): 4948−4957. (in Chinese) DOI:10.13227/j.hjkx.202003212.

    Lin JH, Yan Y, Yang GH. 2020. Distribution characteristics of mercury in biofilm and sediment of a typical mercury contaminated river. Earth Environment, 48(3): 341−347. (in Chinese) DOI:10.14050/j.cnki.1672-9250.2020.48.041.

    Liu P, Jiang ZC, Li YQ, et al. 2023. Quantitative study on improved budyko-based separation of climate and ecological restoration of runoff and sediment yield in Nandong underground river system. Water, 15: 1263. DOI:10.3390/w15071263.

    Luo X, Ren B, Hursthouse AS, et al. 2019. Potentially toxic elements (PTEs) in crops, soil, and water near Xiangtan manganese mine, China: Potential risk to health in the foodchain. Environ. Geochem Health, 1–12.

    Mashaal N, Akagi T, Ishibashi. 2020. Hydrochemical and isotopic study of groundwater in Wadi El-Natrun, Western Desert, Egypt: Implication for salinization processes. Journal of African Earth Sciences, 172: 104011. DOI:10.1016/j.jafrearsci.2020.104011.

    Ran JK. 2020. A field experimental study on ecological remediation of heavy metal contaminated farmLand soil in Gejiu city, Yunnan Province. M. S. thesis. Kunming, Kunming University of Science and Technology, (in Chinese)

    Sadeghi H, Fazlzadeh M, Zarei A, et al. 2020. Spatial distribution and contamination of heavy metals in surface water, groundwater and topsoil surrounding Moghan's tannery site in Ardabil, Iran, Int. International Journal of Environmental Analytical Chemistry, 102(5): 1049−1059.

    State Environmental Protection Administration of the P. R. China, GB 3838-2002 Standard for Surface Water Quality. (in Chinese)

    Susan, Tumwebaze B, Abrabam, et al. 2017. Water contamination with heavy metals and trace elements from Kilembe copper mine and tailing sites in Western Uganda; implications for domestic water quality. Chemosphere Environmental Toxicology & Risk, 169: 281−287.

    USEPA. 2013. Code of federal regulations, protection of environment, risk assessment guidance for superfund, Human Health Evolution Manual (Part A). https://www.govinfo.gov/content/pkg/CFR-2013-title40-vol30/pdf/CFR-2013-title40-vol30,Pdf.USEPA.

    USEPA, 1992. Guidelines for exposure assessment. Office of Health and Environmental Assessment US EPA, Washington DC: 186.

    Verma P, Singh PK, Sinha RR, et al. 2020. Assessment of groundwater quality status by using water quality index (WQI) and geographic information system (GIS) approaches: A case study of the Bokaro district, India. Applied Water Science, 10(1): 27.

    Yang SR, Huang QH, Huang QR, et al. 2023. Study on human heavy metal exposure in Gejiu tin mining area, Yunan. Yunnan Geology, 42(1): 106−113. (in Chinese)

    Yu Y, Zhu RP, Ma DM, et al. 2022. Multiple surface runoff and soil loss responses by sandstone morphologies to land-use and precipitation regimes changes in the Loess Plateau, China. Catena, 217: 106477.

    Zeng M, Guo R, Yang SM, et al. 2019. Heavy metal pollution and ecological risk assessment in agricultural production areas: Taking Gejiu City of Yunnan Province as an example. Soils and Crops, 8(1): 85−92. (in Chinese) DOI:10.11689/j.issn.2095-2961.2019.01.010.

    Zhang Y, Guo CQ, Sun PA. 2019. Groundwater health risk assessment based on spatial analysis in the Qiaomaidi watershed. China Environmental Science, 39(11): 4762−4768. (in Chinese) DOI:10.19674/j.cnki.issn1000-6923.2019.0555.

    Zhao Y, Li YQ, Qin XM, et al. 2017. Tracer tests on distribution and structural characteristics of karst channels in Nandong underground river drainage. Carsologica Sinica, 36(2): 226−233. (in Chinese) DOI:10.11932/karst20170210.

    Zhou JM, Jiang ZC, Xu GL, et al. 2019. Distribution and health risk assessment of metals in groundwater around iron mine. China Environmental Science, 39(5): 1934−1944. (in Chinese) DOI:10.19674/j.cnki.issn1000-6923.2019.0230.

    Zhou QM, Jiang ZC, Xu GL, et al. 2019. Water quality analysis and health risk assessment for groundwater at Xiangshui, Chongzuo. Environmental Science, 40(6): 2675−2685. (in Chinese) DOI:10.13227/j.hjkx.201810234.

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出版历程
收稿日期:  2023-09-26
录用日期:  2023-12-18
网络出版日期:  2024-03-15
刊出日期:  2024-03-15

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