Health Risk Assessment of Employees Exposed to Chlorination By-products of Recreational Water in Large Amusement Parks in Shanghai

Weizhao Cao Yiming Zheng Wenxuan Zhao Lisha Shi Yunhui Zhang Lijun Zhang Jian Chen

Weizhao Cao, Yiming Zheng, Wenxuan Zhao, Lisha Shi, Yunhui Zhang, Lijun Zhang, Jian Chen. Health Risk Assessment of Employees Exposed to Chlorination By-products of Recreational Water in Large Amusement Parks in Shanghai[J]. Biomedical and Environmental Sciences, 2024, 37(8): 865-875. doi: 10.3967/bes2024.082
Citation: Weizhao Cao, Yiming Zheng, Wenxuan Zhao, Lisha Shi, Yunhui Zhang, Lijun Zhang, Jian Chen. Health Risk Assessment of Employees Exposed to Chlorination By-products of Recreational Water in Large Amusement Parks in Shanghai[J]. Biomedical and Environmental Sciences, 2024, 37(8): 865-875. doi: 10.3967/bes2024.082

doi: 10.3967/bes2024.082

Health Risk Assessment of Employees Exposed to Chlorination By-products of Recreational Water in Large Amusement Parks in Shanghai

Funds: This work was funded by the Foundation of State Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants (Grant No.SEPKL-EHIAEC-202210); the Foundation of Shanghai Municipal Health Commission (Grant No.202240327); and the Key Discipline Project of the Three-year Action Plan for Strengthening Public Health System Construction in Shanghai (2023-2025) (Grant No.GWVI-11.1-38).
More Information
    Author Bio:

    Weizhao Cao, male, born in 1999, BMed, majoring in disease prevention and control

    Yiming Zheng, male, born in 1984, BMed, majoring in health risk management in public places

    Wenxuan Zhao, female, born in 1996, M.M., majoring in environmental health

    Corresponding author: Yunhui Zhang, E-mail: yhzhang@shmu.edu.cnLijun Zhang, E-mail: zhanglijun@scdc.sh.cn.Jian Chen, E-mail: chenjian_3@scdc.sh.cn
  • Weizhao Cao: Conceptualization, data curation, formal analysis, validation, visualization, writing. Yiming Zheng: Conceptualization, data curation, formal analysis, investigation, methodology. Wenxuan Zhao: Conceptualization, data curation, formal analysis, investigation, methodology, visualization. Lisha SHI: Investigation. Yunhui Zhang: Funding acquisition, project administration, resources, supervision. Lijun Zhang: Funding acquisition, project administration, resources, supervision. Jian Chen: Funding acquisition, resources.
  • The authors declare that they have no competing financial interests or personal relationships that may have influenced the work reported in this paper.
  • &These authors contributed equally to this work.
    • 关键词:
    •  / 
    •  / 
    •  / 
    •  / 
    •  
    Weizhao Cao: Conceptualization, data curation, formal analysis, validation, visualization, writing. Yiming Zheng: Conceptualization, data curation, formal analysis, investigation, methodology. Wenxuan Zhao: Conceptualization, data curation, formal analysis, investigation, methodology, visualization. Lisha SHI: Investigation. Yunhui Zhang: Funding acquisition, project administration, resources, supervision. Lijun Zhang: Funding acquisition, project administration, resources, supervision. Jian Chen: Funding acquisition, resources.
    The authors declare that they have no competing financial interests or personal relationships that may have influenced the work reported in this paper.
    &These authors contributed equally to this work.
    注释:
    1) AUTHOR CONTRIBUTIONS: 2) COMPETING INTEREST:
  • Figure  1.  HQc and HQn probability distribution of the five DBPs.

    DBPs, chlorinationdisinfection by-products; BDCM, bromodichloromethane; DBCM, dibromochloromethane; DCA, dichloroacetic acid; TCA, trichloroacetic acid; TCM, trihalomethanes chloroform. (A) HQc probability distribution of BDCM; (B) HQn probability distribution of BDCM; (C) HQc probability distribution of DBCM; (D) HQn probability distribution of DBCM; (E) HQc probability distribution of DCA; (F) HQn probability distribution of DCA; (G) HQc probability distribution of TCA; (H) HQn probability distribution of TCA; (I) HQc probability distribution of TCM; (J) HQc probability distribution of TCM.

    Figure  2.  Probability distribution of total HQc and HQn of the five DBPs.

    DBPs, chlorination disinfection by-products; TCM, trihalomethanes chloroform. (A) total HQc probability distribution of the 5 DBPs; (B) total HQn probability distribution of the 5 DBPs.

    Table  1.   Basic demographic characteristics of employees in the large amusement parks

    Characteristics Integrated Park A (n = 58) Water Park B (n = 37) Amusement Park C (n = 31) Total Population (n = 126)
    Age (years) 34.32 ± 6.35 31.76 ± 3.35 31.72 ± 4.86 32.93 ± 5.38
    Height (cm) 171.38 ± 9.52 169.92 ± 6.87 173.71 ± 9.66 171.52 ± 8.90
    Weight (kg) 69.40 ± 13.12 63.86 ± 12.78 76.74 ± 10.29 69.58 ± 13.17
    Sex, n (%)
    Male 35 (60.3) 18 (48.6) 31 (100.0) 84 (66.7)
    Female 23 (39.7) 19 (51.4) 0 (0) 42 (33.3)
    Education level, n (%)
    High School and below 8 (13.8) 4 (10.8) 19 (61.3) 31 (24.6)
    Junior College 9 (15.5) 9 (24.3) 7 (22.6) 25 (19.8)
    Bachelor’s degree or above 41 (70.7) 24 (64.9) 5 (16.1) 70 (55.6)
    Nationality, n (%)
    China 50 (86.2) 33 (89.2) 31 (100.0) 114 (90.5)
    Foreign 8 (13.8) 4 (10.8) 0 (0) 12 (9.5)
    下载: 导出CSV

    Table  2.   Exposure parameters of employees in the large amusement parks

    Parameters Mean Standard deviation P5 P25 P50 P75 P95
    Weight (kg) 69.58 13.17 49.25 60.25 68.50 79.00 91.00
    Length of service (years) 10.66 5.47 2.25 6.00 10.00 14.00 19.75
    The surface area of skin (m2 0.32 0.25 0.08 0.12 0.13 0.63 0.65
    Frequency of skin exposure (h/d) 0.94 1.13 0.04 0.25 0.38 1.09 3.33
    Frequency of swallowing exposure (mL/d) 4.77 15.56 0.00 0.00 0.00 0.67 29.25
    Frequency of respiratory exposure (L/D) 307.12 325.38 0.00 64.00 152.25 512.00 909.12
    下载: 导出CSV

    Table  3.   The detection rate and concentrations of the seven typical DBPs in the water and spray samples

    DBPs Integrated Park A Water Park B Amusement Park C
    Recreational water Spray Recreational water Spray Recreational water Spray
    Detection rate (%)
    TCM 30.3 2.7 12.5 0 80.0 0
    BDCM 18.2 2.7 12.5 0 80.0 0
    DBCM 18.2 2.7 12.5 0 80.0 0
    TBM 0 0 0 0 0 0
    DCM 0 0 0 0 0 0
    DCA 54.5 2.7 100.0 0 80.0 0
    TCA 100.0 100.0 100.0 100.0 100.0 100.0
    Detection concentrations (μg/L)
    TCM 2.44 ± 1.81 5.30 ± 0.36 3.13 ± 0.15 3.61 ± 0.61
    BDCM 3.12 ± 1.42 4.67 ± 0.21 2.43 ± 0.23 2.90 ± 0.48
    DBCM 1.53 ± 0.59 2.20 ± 0.10 1.73 ± 0.35 1.86 ± 0.40
    TBM
    DCM
    DCA 24.65 ± 20.43 14.47 ± 0.15 19.65 ± 11.65 19.80 ± 9.13
    TCA 15.36 ± 18.79 4.97 ± 2.35 19.77 ± 11.43 5.17 ± 2.13 16.57 ± 12.11 4.99 ± 2.17
      Note. DBPs, chlorination disinfection by-products; TCM, trihalomethanes chloroform; BDCM, bromodichloromethane; DBCM, dibromochloromethane; TBM, bromoform; DCM, dichloromethane; DCA, dichloroacetic acid; TCA, trichloroacetic acid.
    下载: 导出CSV

    Table  4.   Average daily soses of the five DBPs by different routes (mg·kg−1·d−1)

    DBPs CTE scenario RME scenario
    Skin Digestive tract Respiratory tract Total exposure Skin Digestive tract Respiratory tract Total exposure
    TCM 1.20 × 10−8 0 3.07 × 10−8 4.27 × 10−8 7.81 × 10−7 7.83 × 10−9 2.73 × 10−7 1.06 × 10−6
    BDCM 6.65 × 10−9 0 2.70 × 10−8 3.37 × 10−8 4.33 × 10−7 7.37 × 10−9 2.40 × 10−7 6.80 × 10−7
    DBCM 2.90 × 10−9 0 1.27 × 10−8 1.56 × 10−8 1.89 × 10−7 4.47 × 10−9 1.13 × 10−7 3.06 × 10−7
    DCA 1.52 × 10−8 0 8.38 × 10−8 9.90 × 10−8 9.89 × 10−7 5.59 × 10−8 7.44 × 10−7 1.79 × 10−6
    TCA 1.47 × 10−8 0 2.92 × 10−8 4.39 × 10−8 9.56 × 10−7 4.51 × 10−8 2.59 × 10−7 1.26 × 10−6
      Note. DBPs, chlorination disinfection by-products; TCM, trihalomethanes chloroform; BDCM, bromodichloromethane; DBCM, dibromochloromethane; DCA, dichloroacetic acid; TCA, trichloroacetic acid; CTE, central tendency exposure; RME, reasonablemaximum exposure.
    下载: 导出CSV

    Table  5.   The properties and toxicity parameters of the seven typical DBPs

    Abbreviation Main target organ RfD RfC SF (mg·kg−1·d−1) Kp (cm/hr) RSL (μg/L) PoD (mg·kg−1·d−1) PoD Limits* (mg/L)
    TBM Liver 0.010 0.0310 0.00683 0.221 1.00 BMD 0.06
    BDCM Kidneys Liver 0.020 0.0620 0.00402 0.134 17.90 LOAEL 0.06
    DBCM Liver 0.020 0.0840 0.00289 0.871 21.40 NOAEL 0.10
    TBM Liver 0.020 0.0079 0.00235 3.290 17.90 NOAEL 0.10
    DCM Liver 0.006 0.600 0.0020 0.00354 11.400 0.19 BMD 0.02
    DCA Nervous System
    Reproductive
    system Liver
    0.004 0.0480 0.00121 1.530 12.5 LOAEL 0.05
    TCA Liver 0.020 0.0670 0.00145 1.090 18.00 BMD 0.10
      Note. *Refers to GB 5749-2022 Standards for drinking water quality. RfD, reference dose; RfC, reference concentration; SF, slope factor; Kp, percutaneous absorption coefficient; RSL, regional screening levels; PoD, critical role start points; TBM, bromoform; BDCM, bromodichloromethane; DBCM, dibromochloromethane; DCM, dichloromethane; DCA, dichloroacetic acid; TCA, trichloroacetic acid.
    下载: 导出CSV

    Table  6.   HQc and HQn of single DBP

    DBPs HQc HQn
    CTE RME CTE RME
    TCM 1.32 × 10−9 3.29 × 10−8 4.27 × 10−6 1.06 × 10−4
    BDCM 2.09 × 10−9 4.22 × 10−8 1.68 × 10−6 3.40 × 10−5
    DBCM 1.31 × 10−9 2.57 × 10−8 7.82 × 10−7 1.53 × 10−5
    DCA 4.75 × 10−9 8.59 × 10−8 2.47 × 10−5 4.47 × 10−4
    TCA 2.94 × 10−9 8.44 × 10−8 2.19 × 10−6 6.30 × 10−5
      Note. DBPs, chlorination disinfection by-products; CTE, central tendency exposure; RME, reasonable maximum exposure; TCM, trihalomethanes chloroform; BDCM, bromodichloromethane; DBCM, dibromochloromethane; DCA, dichloroacetic acid; TCA, trichloroacetic acid.
    下载: 导出CSV

    Table  7.   HQc and HQn of multiple substances (TCA as the Designated Substance)

    DBPs PoD (mg·kg−1·d−1) Weighted HQc Weighted HQn
    CTE RME CTE RME
    TCM 1.0 2.38 × 10−8 5.92 × 10−7 7.68 × 10−5 1.91 × 10−3
    BDCM 17.9 2.10 × 10−9 4.24 × 10−8 1.69 × 10−6 3.42 × 10−5
    DBCM 21.4 1.11 × 10−9 2.17 × 10−8 6.58 × 10−7 1.29 × 10−5
    DCA 12.5 6.84 × 10−9 1.24 × 10−7 3.56 × 10−5 6.44 × 10−4
    TCA 18.0 2.94 × 10−9 8.44 × 10−8 2.19 × 10−6 6.30 × 10−5
    Total 3.68 × 10−8 8.65 × 10−7 1.17 × 10−4 2.67 × 10−3
      Note. DBPs, chlorination disinfection by-products; PoD, critical role start points; CTE, central tendency exposure; RME, reasonable maximum exposure; TCM, trihalomethanes chloroform; BDCM, bromodichloromethane; DBCM, dibromochloromethane; DCA, dichloroacetic acid; TCA, trichloroacetic acid.
    下载: 导出CSV
  • [1] Kudlek E, Lempart-Rapacewicz A, Dudziak M. Identification of potential harmful transformation products of selected micropollutants in outdoor and indoor swimming pool water. Int J Environ Res Public Health, 2022; 19, 5660. doi:  10.3390/ijerph19095660
    [2] Arberas-Jiménez I, Sifaoui I, Reyes-Batlle M, et al. Ultraviolet – chlorine combined treatment efficiency to eliminate Naegleria fowleri in artificial surf lagoons. Heliyon, 2022; 8, e11625. doi:  10.1016/j.heliyon.2022.e11625
    [3] Lan JQ, Rahman SM, Gou N, et al. Genotoxicity assessment of drinking water disinfection byproducts by DNA damage and repair pathway profiling analysis. Environ Sci Technol, 2018; 52, 6565−75. doi:  10.1021/acs.est.7b06389
    [4] Bradley PM, Argos M, Kolpin DW, et al. Mixed organic and inorganic tapwater exposures and potential effects in greater Chicago area, USA. Sci Total Environ, 2020; 719, 137236. doi:  10.1016/j.scitotenv.2020.137236
    [5] Brophy MJ, Trueman BF, Park Y, et al. Fluorescence spectra predict Microcystin-LR and disinfection byproduct formation potential in lake water. Environ Sci Technol, 2019; 53, 586−94. doi:  10.1021/acs.est.8b04139
    [6] Niehoff NM, Gammon MD, Keil AP, et al. Airborne mammary carcinogens and breast cancer risk in the sister study. Environ Int, 2019; 130, 104897. doi:  10.1016/j.envint.2019.06.007
    [7] Beane FL, Cantor KP, Baris D, et al. Bladder cancer and water disinfection by-product exposures through multiple routes: a population-based case-control study (New England, USA). Environ Health Perspect, 2017; 125, 067010. doi:  10.1289/EHP89
    [8] Gopal K, Tripathy SS, Bersillon JL, et al. Chlorination byproducts, their toxicodynamics and removal from drinking water. J Hazard Mater, 2007; 140, 1−6. doi:  10.1016/j.jhazmat.2006.10.063
    [9] Nieuwenhuijsen MJ, Toledano MB, Eaton NE, et al. Chlorination disinfection byproducts in water and their association with adverse reproductive outcomes: a review. Occup Environ Med, 2000; 57, 73−85. doi:  10.1136/oem.57.2.73
    [10] Graves CG, Matanoski GM, Tardiff RG. Weight of evidence for an association between adverse reproductive and developmental effects and exposure to disinfection by-products: a critical review. Regul Toxicol Pharmacol, 2001; 34, 103−24. doi:  10.1006/rtph.2001.1494
    [11] Villanueva CM, Cantor KP, Cordier S, et al. Disinfection byproducts and bladder cancer: a pooled analysis. Epidemiology, 2004; 15, 357−67. doi:  10.1097/01.ede.0000121380.02594.fc
    [12] Daiber EJ, DeMarini DM, Ravuri SA, et al. Progressive increase in disinfection byproducts and mutagenicity from source to tap to swimming pool and spa water: impact of human inputs. Environ Sci Technol, 2016; 50, 6652−62. doi:  10.1021/acs.est.6b00808
    [13] Van Veldhoven K, Keski-Rahkonen P, Barupal DK, et al. Effects of exposure to water disinfection by-products in a swimming pool: a metabolome-wide association study. Environ Int, 2018; 111, 60−70. doi:  10.1016/j.envint.2017.11.017
    [14] Vlaanderen J, Van Veldhoven K, Font-Ribera L, et al. Acute changes in serum immune markers due to swimming in a chlorinated pool. Environ Int, 2017; 105, 1−11. doi:  10.1016/j.envint.2017.04.009
    [15] National Health and Wellness Commission. Standard examination methods for drinking water—Part 10: disinfection by-products indicesS/OL].https://std.samr.gov.cn/gb/search/gbDetailed?id=F78920660F93B223E05397BE0A0AE533. 2023-05-07]. (In Chinese
    [16] National Health and Wellness Commission. Standard examination methods for drinking water - Collection and preservation of water samplesS/OL].https://openstd.samr.gov.cn/bzgk/gb/newGbInfo?hcno=CA71F3AD8B8B22D908B7ED0FBCF703DF. 2023-05-07]. (In Chinese
    [17] Ministry of Ecology and Environment of the People's Republic of China. Technical guidelines for eco-environmental health risk assessment—General principles: HJ 1111-2020S/OL].https://d.wanfangdata.com.cn/standard/ChRTdGFuZGFyZE5ld1MyMDIzMDcwMhIMSEogMTExMS0yMDIwGgg1c3dveWFkZg%3D%3D. 2023-07-31]. (In Chinese
    [18] HUMANS I W G on the E of C R to. Chlorination by-products[M/OL]//Chlorinated Drinking-Water; Chlorination by-Products; Some Other Halogenated Compounds; Cobalt and Cobalt Compounds. International Agency for Research on Cancer, 1991[2024-03-24].
    [19] INTERNATIONAL AGENCY FOR RESEARCH ON CANCER. List of Classifications[EB/OL]//Agents classified by the IARC Mongraphs. [2024-03-24].
    [20] Ministry of Environmental Protection. Exposure factors handbook of Chinese population-adults. China Environment Press. 2013. (In Chinese
    [21] SHANGHAI MUNICIPAL BUREAU OF STATISTICS. Total households, population, density of registered population and life expectancy (1978~2021)[M/OL]//ShangHai Statistical Yearbook 2022. [2024-03-24].https://tjj.sh.gov.cn/tjnj/nj22.htm?d1=2022tjnjen/E0201.htm. (In Chinese
    [22] Teo TLL, Coleman HM, Khan SJ. Chemical contaminants in swimming pools: occurrence, implications and control. Environ Int, 2015; 76, 16−31. doi:  10.1016/j.envint.2014.11.012
    [23] Tardif R, Catto C, Haddad S, et al. Assessment of air and water contamination by disinfection by-products at 41 indoor swimming pools. Environ Res, 2016; 148, 411−20. doi:  10.1016/j.envres.2016.04.011
    [24] Samonte PRV, Li Z, Mao JD, et al. Pyrogenic carbon-promoted haloacetic acid decarboxylation to trihalomethanes in drinking water. Water Res, 2022; 210, 117988. doi:  10.1016/j.watres.2021.117988
    [25] Evans S, Campbell C, Naidenko OV. Analysis of cumulative cancer risk associated with disinfection byproducts in United States drinking water. Int J Environ Res Public Health, 2020; 17, 2149. doi:  10.3390/ijerph17062149
    [26] Wu WJ, Liu YY, Li CZ, et al. Oxidative stress responses and gene transcription of mice under chronic-exposure to 2, 6-dichlorobenzoquinone. Int J Environ Res Public Health, 2022; 19, 13801. doi:  10.3390/ijerph192113801
    [27] Li JH, Wang W, Moe B, et al. Chemical and toxicological characterization of halobenzoquinones, an emerging class of disinfection byproducts. Chem Res Toxicol, 2015; 28, 306−18. doi:  10.1021/tx500494r
    [28] Li JH, Moe B, Vemula S, et al. Emerging disinfection byproducts, halobenzoquinones: effects of isomeric structure and halogen substitution on cytotoxicity, formation of reactive oxygen species, and genotoxicity. Environ Sci Technol, 2016; 50, 6744−52. doi:  10.1021/acs.est.5b05585
    [29] Wang C, Yang X, Zheng Q, et al. Halobenzoquinone-induced developmental toxicity, oxidative stress, and apoptosis in Zebrafish embryos. Environ Sci Technol, 2018; 52, 10590−8. doi:  10.1021/acs.est.8b02831
    [30] Li ZG, Song GF, Bi YH, et al. Occurrence and distribution of disinfection byproducts in domestic wastewater effluent, tap water, and surface water during the SARS-CoV-2 pandemic in China. Environ Sci Technol, 2021; 55, 4103−14. doi:  10.1021/acs.est.0c06856
    [31] Shi YW, Ma WR, Han FC, et al. Precise exposure assessment revealed the cancer risk and disease burden caused by trihalomethanes and haloacetic acids in Shanghai indoor swimming pool water. J Hazard Mater, 2020; 388, 121810. doi:  10.1016/j.jhazmat.2019.121810
  • [1] JIANGTULU Bahabaike, LAN Chang Xin, CHEN Jun Xi, CHEN Xi, WANG Bin, XUE Tao.  Ambient Fine Particulate Matter Exposure and Blood Pressure: Evidence from a Large Chinese Multiple Follow-Up Study . Biomedical and Environmental Sciences, 2023, 36(1): 38-49. doi: 10.3967/bes2023.004
    [2] CAO Sheng Kui, JIANG Yan Yan, YUAN Zhong Ying, YIN Jian Hai, XU Meng, XUE Jing Bo, TANG Lin Hua, SHEN Yu Juan, CAO Jian Ping.  Quantitative Microbial Risk Assessment of Cryptosporidium and Giardia in Public Drinking Water in China . Biomedical and Environmental Sciences, 2021, 34(6): 493-498. doi: 10.3967/bes2021.068
    [3] WANG Tong Shuai, SONG Bo, SUN Qing Hua, LIN Yong Xin, SUN Yuan, SUN Pin, JIA Xiao Dong, William W. Au, MEI Can Hua, XIA Zhao Lin.  Occupational Health Risk Assessment of Benzene, Toluene, and Xylene in Shanghai . Biomedical and Environmental Sciences, 2021, 34(4): 290-298. doi: 10.3967/bes2021.038
    [4] Mohammad Rezaei, Bahareh Ghasemidehkordi, Babak Peykarestan, Nabi Shariatifar, Maryam Jafari, Yadolah Fakhri, Maryam Jabbari, Amin Mousavi Khaneghah.  Potentially Toxic Element Concentration in Fruits Collected from Markazi Province (Iran): A Probabilistic Health Risk Assessment . Biomedical and Environmental Sciences, 2019, 32(11): 839-853. doi: 10.3967/bes2019.105
    [5] ZHOU Li Fang, TIAN Fang, ZOU Hua, YUAN Wei Ming, HAO Mo, ZHANG Mei Bian.  Research Progress in Occupational Health Risk Assessment Methods in China . Biomedical and Environmental Sciences, 2017, 30(8): 616-622. doi: 10.3967/bes2017.082
    [6] ZHANG Mei, JIANG Yong, WANG LiMin, LI YiChong, HUANG ZhengJing, LI JianHong, ZHOU MaiGeng, ZHAO WenHua.  Prediction of 10-year Atherosclerotic Cardiovascular Disease Risk among Adults Aged 40-79 Years in China: a Nationally Representative Survey . Biomedical and Environmental Sciences, 2017, 30(4): 244-254. doi: 10.3967/bes2017.034
    [7] ZHANG Lei, JIANG Ding Guo, SUI Hai Xia, WU Ping Gu, LIU Ai Dong, YANG Da Jin, LIU Zhao Ping, SONG Yan, LI Ning.  Dietary Exposure to Benzyl Butyl Phthalate in China . Biomedical and Environmental Sciences, 2016, 29(5): 365-373. doi: 10.3967/bes2016.047
    [8] YANG Ai Min, CHENG Ning, PU Hong Quan, LIU Si Min, LI Juan Sheng, BASSIG Bryan A., DAI Min.  Metal Exposure and Risk of Diabetes and Prediabetes among Chinese Occupational Workers . Biomedical and Environmental Sciences, 2015, 28(12): 875-883. doi: 10.3967/bes2015.121
    [9] LU Jie, ZHANG Jing, WANG Zhu Tian, FAN Yong Xiang.  An Estimation of the Daily Intake of Di (2-ethlhexyl) Phthalate (DEHP) among Workers in Flavoring Factories . Biomedical and Environmental Sciences, 2014, 27(6): 419-425. doi: 10.3967/bes2014.071
    [10] HU Xing Qiang, LI Shi Guang, LIU Hong, WANG Jun, HUA Ri Mao.  Diversity and Distribution of Host Animal Species of Hantavirus and Risk to Human Health in Jiuhua Mountain Area, China . Biomedical and Environmental Sciences, 2014, 27(11): 849-857. doi: 10.3967/bes2014.122
    [11] WANG Jun, GUO Yun Chang, LI Ning.  Prevalence and Risk Assessment of Campylobacter jejuni in Chicken in China . Biomedical and Environmental Sciences, 2013, 26(4): 243-248. doi: 10.3967/0895-3988.2013.04.002
    [12] HUANG Yu Wen, JIAN Le, ZHANG Mei Bian, ZHOU Quan, YAN Xiao Feng, HUA Xu Dong, ZHOU Ying, HE Ji Liang.  An Investigation of Oxidative DNA Damage in Pharmacy Technicians Exposed to Antineoplastic Drugs in Two Chinese Hospitals Using The Urinary 8-OHdG Assay . Biomedical and Environmental Sciences, 2012, 25(1): 109-116. doi: 10.3967/0895-3988.2012.01.016
    [13] S.KUMAR, K.BALAKRISHNA, HV.BATRA.  Enrichment-ELISA for Detection of Salmonella typhi From Food and Water Samples . Biomedical and Environmental Sciences, 2008, 21(2): 137-143.
    [14] YUE WAN, TOSHIHIKO MASUI.  Considerations in Applying the General Equilibrium Approach to Environmental Health Assessment . Biomedical and Environmental Sciences, 2005, 18(5): 356-361.
    [15] QING-WEN MA, GUO-FANG LIN, JI-GANG CHEN, CUI-QING XIANG, WEI-CHAO GUO, KLAUS GOLKA, Jian-Hua SHEN.  Polymorphism of N-acetyltransferase 2 (NAT2) Gene Polymorphism in Shanghai population:Occupational and Non-occupational Bladder Cancer Patient Groups . Biomedical and Environmental Sciences, 2004, 17(3): 291-298.
    [16] M.K.J.SIDDIQUI, S.SRIVASTAVA, P.K.MEHROTRA.  Environmental Exposure to Lead as a Risk for Prostate Cancer . Biomedical and Environmental Sciences, 2002, 15(4): 298-305.
    [17] YANG Dong-Ping, XU Shi-jie, WANG JIAN-XIN.  Study on Chromosome Damage Among Nurses Occupationally Exposed to Antineoplastic Drugs in an Oncology Department . Biomedical and Environmental Sciences, 2002, 15(3): 268-270.
    [18] CHEN JUN-SHI.  The Role of Science in Codex Standards . Biomedical and Environmental Sciences, 2001, 14(1_2): 145-148.
    [19] CONFERENCE PROGRAM . Biomedical and Environmental Sciences, 2001, 14(1_2): Ⅰ-Ⅳ.
    [20] SIMON BROOKE-TAYLOR.  Practical Approaches to Risk Assessment . Biomedical and Environmental Sciences, 2001, 14(1_2): 14-20.
  • 23473+Supplementary Materials.pdf
  • 加载中
图(2) / 表ll (7)
计量
  • 文章访问数:  219
  • HTML全文浏览量:  71
  • PDF下载量:  29
  • 被引次数: 0
出版历程
  • 收稿日期:  2023-12-27
  • 录用日期:  2024-03-05
  • 网络出版日期:  2024-08-26
  • 刊出日期:  2024-08-26

Health Risk Assessment of Employees Exposed to Chlorination By-products of Recreational Water in Large Amusement Parks in Shanghai

doi: 10.3967/bes2024.082
    基金项目:  This work was funded by the Foundation of State Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants (Grant No.SEPKL-EHIAEC-202210); the Foundation of Shanghai Municipal Health Commission (Grant No.202240327); and the Key Discipline Project of the Three-year Action Plan for Strengthening Public Health System Construction in Shanghai (2023-2025) (Grant No.GWVI-11.1-38).
    作者简介:

    Weizhao Cao, male, born in 1999, BMed, majoring in disease prevention and control

    Yiming Zheng, male, born in 1984, BMed, majoring in health risk management in public places

    Wenxuan Zhao, female, born in 1996, M.M., majoring in environmental health

    通讯作者: Yunhui Zhang, E-mail: yhzhang@shmu.edu.cnLijun Zhang, E-mail: zhanglijun@scdc.sh.cn.Jian Chen, E-mail: chenjian_3@scdc.sh.cn
注释:
1) AUTHOR CONTRIBUTIONS: 2) COMPETING INTEREST:

English Abstract

Weizhao Cao, Yiming Zheng, Wenxuan Zhao, Lisha Shi, Yunhui Zhang, Lijun Zhang, Jian Chen. Health Risk Assessment of Employees Exposed to Chlorination By-products of Recreational Water in Large Amusement Parks in Shanghai[J]. Biomedical and Environmental Sciences, 2024, 37(8): 865-875. doi: 10.3967/bes2024.082
Citation: Weizhao Cao, Yiming Zheng, Wenxuan Zhao, Lisha Shi, Yunhui Zhang, Lijun Zhang, Jian Chen. Health Risk Assessment of Employees Exposed to Chlorination By-products of Recreational Water in Large Amusement Parks in Shanghai[J]. Biomedical and Environmental Sciences, 2024, 37(8): 865-875. doi: 10.3967/bes2024.082
    • Water is essential for life and recreational activities, such as swimming and other water park activities. Different types of water sources, including municipal water supplies, well water, and surface water, undergo various treatments to remove impurities prior to use. In large amusement parks, the most common disinfection method for recreational water, such as fountain water and swimming pool water, is chlorination, which poses potential risks of disinfection by-products (DBPs) while cleaning water bodies[1,2]. Among the more than 700 DBPs identified to date, trihalomethanes (THMs) and haloacetic acids (HAAs) are carcinogens that may damage DNA, affect normal metabolism and cell division, and induce many types of tumors[35]. The International Agency for Research on Cancer (IARC) has not classified any individual DBPs as Group 1 human carcinogens, although several have been classified as possible (Group 2B; specifically, dichloroacetic acid, trichloroacetic acid, dibromoacetic acid, and bromochloroacetic acid) or probable (Group 2A; specifically, dichloromethane) human carcinogens[6,7].

      Previous studies have shown that chronic exposure to or consumption of drinking water containing DBPs can cause adverse health outcomes such as respiratory, neurological, and reproductive disorders, but this association is sometimes insignificant[811]. Some studies have linked swimming in chlorinated treated water to DBP exposure and adverse health outcomes such as allergies and respiratory health effects[1214]. However, further studies are needed to demonstrate the relationship between exposure to DBPs in reactional water and health outcomes for professional water personnel, including lifeguards, cleaning staff, and maintenance workers, despite their prolonged working hours and frequent contact with water.

      This study aimed to quantitatively assess the health risks of DBP exposure to occupational populations in three large amusement parks in Shanghai (representatives of integrated parks, water parks, and amusement parks) through quantitative testing of typical DBPs and questionnaire surveys of key exposure parameters for employees of large amusement parks.

    • In this study, representatives were selected among the integrated parks, water parks, and amusement parks with recreational water rides in Shanghai, and they were referred to as Integrated Park A, Water Park B, and Amusement Park C, respectively. These three parks are among the top ten in Shanghai in terms of patronage and operate in a chain in China. To obtain accurate concentrations of DBPs in recreational water and spray, 25 landscape and recreational water sampling points and 114 spray sampling points in the three parks were sampled once a day for three consecutive days in October 2021, and the sampling time was chosen during the 13:00–14:00 hours of the day when the temperature was the highest. A total of 75 landscape and recreational water samples and 342 spray water samples were obtained from Integrated Park A (36 recreational water samples and 171 spray water samples), Water Park B (24 recreational water samples and 90 spray water samples), and Amusement Park C (15 recreational water samples and 81 spray water samples).

      Seven typical DBPs were chosen for quantification, including five species of THMs—chloroform (TCM), bromodichloromethane (BDCM), dibromochloromethane (DBCM), bromoform (TBM), and dichloromethane (DCM)—and two species of HAAs—dichloroacetic acid (DCA) and trichloroacetic acid (TCA) (Supplementary Table S1, available in www.besjournal.com). The physicochemical information of the selected DBPs is provided in Supplementary Table S1.

      The concentrations of the seven DBPs in the samples were determined according to standard examination methods for drinking water DBP parameters[15]. Filling column gas chromatography was used to determine the concentrations of TCM, TBM, BDCM, and DBCM; headspace gas chromatography to determine the concentration of DCM; and liquid-liquid extraction derivative gas chromatography to determine the concentrations of DCA and TCA.

      Quality assurance/quality control (QA/QC) of water sample collection followed standard examination methods for drinking water: collection and preservation of water samples[16].

    • The health risk assessment of exposure to chlorinated DBPs in amusement parks refers to the method described in Technical Guidelines for Eco-Environmental Health Risk Assessment—General Principles, which includes four steps: Hazard identification, Exposure-response relationship evaluation, Exposure assessment, and Risk characterization[17].

    • According to the IARC of the World Health Organization, DCM is classified as group 2A (probably carcinogenic to humans) based on sufficient evidence of carcinogenicity in experimental animals and limited evidence of carcinogenicity in humans; TCM, DCM, and TCM are classified as group 2B[18,19]. In addition, DBCM, BDCM, and TBM, as typical DBPs, are similar in the exposure population and exposure pathways and are metabolized by cytochrome P450 in the liver, which could cause hepatotoxicity and nephrotoxicity when exposed to a high dose[19].

      Therefore, DCM, TCM, DCM, TCM, DBCM, BDCM, and TBM were selected for subsequent quantitative risk assessment.

    • The carcinogenic and non-carcinogenic effects of the seven DBPs were identified, and their toxicological parameters were obtained by querying two toxicological databases, the Integrated Risk Information System (IRIS) and Regional Screening Levels (RSLs), which belong to the United States Environmental Protection Agency (EPA).

    • To accurately determine the exposure parameters of the occupational population exposed to water, a questionnaire was administered to occupational employees in three large amusement parks in Shanghai in October 2021. One hundred and twenty-nine questionnaires were sent out to all occupational water employees, which 126 were returned, with a recovery rate of 97.7%. The skin surface area of the study population was calculated according to the main water contact sites reported by the participants, and then the skin surface area of different locations was filled according to the Exposure Factors Handbook of the Chinese Population: Adults[20]. The physical activity scores of the participants were calculated and divided into three grades according to the International Physical Activity Questionnaire (IPAQ): light, medium, and heavy. The short-term respiratory volume was then filled according to the manual of exposure parameters for different sexes and physical activities in Shanghai. The skin surface area and short-term respiratory volume parameters of the different sexes in Shanghai are listed in Supplementary Table S2 (available in www.besjournal.com).

      The exposure pathways include dermal contact, oral ingestion, and inhalation. The dermal contact frequency (Fdermal, h·d−1), ingestion contact frequency (Fingest, mL·d−1), and inhalation contact frequency (Finhale, L·d−1) were calculated using Eqs. (1), (2), and (3), respectively.

      $$ \begin{array}{c}{F}_{dermal}={ET}_{d}\times {EF}_{d}\end{array} $$ (1)
      $$ \begin{array}{c}{F}_{ingest}=EV\times {EF}_{g}\end{array} $$ (2)
      $$ \begin{array}{c}{F}_{inhale}={ET}_{d}\times {EF}_{h}\times SRV\end{array} $$ (3)

      Where ETd is the average dermal contact time in slack and peak seasons (min), EFd is the intermediate dermal contact frequency in slack and peak seasons (d−1), EV is the average water swallowing volume in slack and peak seasons (mL), EFg is the intermediate swallowing frequency in slack and peak seasons (d−1), ETd is the average inhalation contact time in slack and peak seasons (min), EFg is the intermediate inhalation contact frequency in slack and peak seasons (d−1), and SRV is the short-term respiratory volume (L·min−1).

      The concentrations of the seven typical DBPs in the samples were determined quantitatively and compared with the detection limits. The TBM and DCM concentrations were below the detection limit; therefore, they were not included in the subsequent analysis.

      Daily exposure under the two scenarios of central tendency exposure (CTE) and reasonable maximum exposure (RME) was calculated according to the median and 95th percentile (P95) of each exposure parameter.

      According to the questionnaire results, the employees’ working hours were 8 hours/day and 5 days/week. Therefore, the exposure time was taken as the statutory working hours of 250 days/year. The average life expectancy in Shanghai was 84.11 years, or 30,700.15 days, according to the latest announcement by the Shanghai Health Commission[21]. The skin surface areas and concentrations of the five DBPs were substituted into Eqs. (4), (5), and (6). Among the three exposure routes, landscape recreational water was used to detect the dermal contact concentration (ADDdermal, mg·kg−1·d−1) and the ingestion contact concentration (ADDingest, mg·kg−1·d−1), and spray was used to detect the inhalation contact concentration (ADDinhale, mg·kg−1·d−1).

      $$ \begin{array}{c}{ADD}_{dermal}=\dfrac{C\times I\times SA\times {F}_{dermal}\times EF\times ED\times {f}_{1}}{BW\times AT}\end{array} $$ (4)
      $$ \begin{array}{c}{ADD}_{ingest}=\dfrac{C\times {F}_{ingest}\times EF\times ED\times {f}_{2}}{BW\times AT}\end{array} $$ (5)
      $$ \begin{array}{c}{ADD}_{inhale}=\dfrac{C\times {F}_{inhale}\times EF\times ED\times {V}_{a}}{BW\times AT}\end{array} $$ (6)

      Where C is the pollutant concentration in water (mg·L−1), I is the skin permeability coefficient (cm·h−1), SA is the skin surface area (cm2), EF is the exposure frequency (d·y−1), ED is the exposure duration (y), f1 is the conversion factor (10−3 L·cm−3), BW is the average weight of the population (kg), AT is the life expectancy (life expectancy in years × 365 d), f2 is the conversion factor (10−3 mL·L−1), and Va is the volume ratio by which a spray is converted from water (unitless), estimated as 3.2 × 10−5, as indicated in Supplementary Table S3 (available in www.besjournal.com).

      The exposure concentration of each DBP was calculated according to the above three formulas, and then added to calculate the total daily average exposure.

    • According to the EPA recommendations, the calculation formulas for the carcinogenic and non-carcinogenic risks of a single substance are Eqs. (7) and (8), respectively.

      $$ \begin{array}{c}HQc=ADD\times SF\end{array} $$ (7)
      $$ \begin{array}{c}HQn=\dfrac{ADD}{RfD}\end{array} $$ (8)

      Where HQc is the carcinogenic risk hazard quotient (unitless), HQn is the non-carcinogenic risk hazard quotient (unitless), ADD is the average daily exposure of pollutants (mg·kg−1·d−1), SF is the carcinogenic slope factor (unitless), and RfD is the reference dose (mg·kg−1·d−1).

      To determine the carcinogenic risk of multiple pollutants, the carcinogenic risk of pollutants with the same outcome pathway (AOP) was calculated by grouping. The relative potency factor (RPF, unitless) was used to calculate the carcinogenic and non-carcinogenic risks of combined exposure to various DBPs, according to Eqs. (10) and (11).

      $$ RPF=\frac{{PoD}_{index}}{{PoD}_{specific}} $$ (9)
      $$ HQc=\sum \left({RPF}_{i}\times {ADD}_{i}\times {SF}_{i}\right) $$ (10)
      $$ HQ=\sum {RPF}_{i}\times \frac{{ADD}_{i}}{{RfD}_{i}} $$ (11)

      Where PoDindex is the critical action starting point for the designated pollutant in this group, PoDspecific is the essential step starting point of a pollutant in this group, RPFi is the relative efficiency factor of the ith pollutant (unitless), ADDi is the average daily exposure of the ith adulteration (mg·kg−1·d−1), SFi is the carcinogenic slope factor of the ith pollutant (unitless), and RfDi is the reference dose of the ith pollutant (mg·kg−1·d−1). The risks of DBPs were weighted by choosing TCA as the designated pollutant, as SF of TCA among the five DBPs is relatively large; that is, the carcinogenic effect is relatively strong.

      Monte Carlo simulation is a statistical method of probability sampling that is often used to evaluate uncertainty in risk assessment. In this study, iterative sampling (n = 10,000) was performed according to the distribution of exposure parameters obtained, and the probability distribution of exposure and health risks of the five DBPs among occupational water employees in the three large amusement parks in Shanghai was obtained. Uncertain variables and parameters were analyzed during the evaluation, and exposure was simulated by repeated sampling.

    • Crystal Ball 11.1.2.4.900 was used to perform the Monte Carlo probabilistic risk assessment. The possible distribution types of the exposure parameters were obtained by fitting the distribution of the exposure parameters. Custom distributions of skin surface area and respiration were obtained according to the Exposure Factors Handbook of the Chinese Population (Adults).

    • This study was approved by the Shanghai Municipal Center for Disease Control and Prevention Ethical Review Committee.

    • The primary characteristics of the study population, including 58 participants from Integrated Park A, 37 from Water Park B, and 31 from Amusement Park C, are shown in Table 1. The average age of employees was 32.93 ± 5.38 years old; 66.7% were male, 55.6% had a bachelor’s degree or above, and 9.5% were foreigners.

      Table 1.  Basic demographic characteristics of employees in the large amusement parks

      Characteristics Integrated Park A (n = 58) Water Park B (n = 37) Amusement Park C (n = 31) Total Population (n = 126)
      Age (years) 34.32 ± 6.35 31.76 ± 3.35 31.72 ± 4.86 32.93 ± 5.38
      Height (cm) 171.38 ± 9.52 169.92 ± 6.87 173.71 ± 9.66 171.52 ± 8.90
      Weight (kg) 69.40 ± 13.12 63.86 ± 12.78 76.74 ± 10.29 69.58 ± 13.17
      Sex, n (%)
      Male 35 (60.3) 18 (48.6) 31 (100.0) 84 (66.7)
      Female 23 (39.7) 19 (51.4) 0 (0) 42 (33.3)
      Education level, n (%)
      High School and below 8 (13.8) 4 (10.8) 19 (61.3) 31 (24.6)
      Junior College 9 (15.5) 9 (24.3) 7 (22.6) 25 (19.8)
      Bachelor’s degree or above 41 (70.7) 24 (64.9) 5 (16.1) 70 (55.6)
      Nationality, n (%)
      China 50 (86.2) 33 (89.2) 31 (100.0) 114 (90.5)
      Foreign 8 (13.8) 4 (10.8) 0 (0) 12 (9.5)
    • The exposure parameters of employees in the amusement parks were calculated using a questionnaire, as shown in Table 2. The average body weight of employees was 69.58 ± 13.17 kg, and the medium duration of employment was 10.66 ± 5.47 years. More than half of the employees reported that they did not consume or swallow water from the digestive tract during landscape entertainment activities in the amusement parks.

      Table 2.  Exposure parameters of employees in the large amusement parks

      Parameters Mean Standard deviation P5 P25 P50 P75 P95
      Weight (kg) 69.58 13.17 49.25 60.25 68.50 79.00 91.00
      Length of service (years) 10.66 5.47 2.25 6.00 10.00 14.00 19.75
      The surface area of skin (m2 0.32 0.25 0.08 0.12 0.13 0.63 0.65
      Frequency of skin exposure (h/d) 0.94 1.13 0.04 0.25 0.38 1.09 3.33
      Frequency of swallowing exposure (mL/d) 4.77 15.56 0.00 0.00 0.00 0.67 29.25
      Frequency of respiratory exposure (L/D) 307.12 325.38 0.00 64.00 152.25 512.00 909.12

      The detection rates and concentrations of the seven DBPs in the samples are listed in Table 3. The detected concentrations of TBM and DCM in all samples were below the limit of detection (LOD). The detection rate for TCA was 100%, and those of TCM, BDCM, DBCM, and DCA were 30.3%, 18.2%, 18.2%, and 54.5%, respectively. In landscape water of Park C, the detection rates of TCM, BDCM, and DBCM were all 12.5%, that for DCA was 100%, and that for all the four substances detected simultaneously was 80.0%. In spray water samples, these four substances were detected only in Integrated Park A, with a detection rate of 2.7%.

      Table 3.  The detection rate and concentrations of the seven typical DBPs in the water and spray samples

      DBPs Integrated Park A Water Park B Amusement Park C
      Recreational water Spray Recreational water Spray Recreational water Spray
      Detection rate (%)
      TCM 30.3 2.7 12.5 0 80.0 0
      BDCM 18.2 2.7 12.5 0 80.0 0
      DBCM 18.2 2.7 12.5 0 80.0 0
      TBM 0 0 0 0 0 0
      DCM 0 0 0 0 0 0
      DCA 54.5 2.7 100.0 0 80.0 0
      TCA 100.0 100.0 100.0 100.0 100.0 100.0
      Detection concentrations (μg/L)
      TCM 2.44 ± 1.81 5.30 ± 0.36 3.13 ± 0.15 3.61 ± 0.61
      BDCM 3.12 ± 1.42 4.67 ± 0.21 2.43 ± 0.23 2.90 ± 0.48
      DBCM 1.53 ± 0.59 2.20 ± 0.10 1.73 ± 0.35 1.86 ± 0.40
      TBM
      DCM
      DCA 24.65 ± 20.43 14.47 ± 0.15 19.65 ± 11.65 19.80 ± 9.13
      TCA 15.36 ± 18.79 4.97 ± 2.35 19.77 ± 11.43 5.17 ± 2.13 16.57 ± 12.11 4.99 ± 2.17
        Note. DBPs, chlorination disinfection by-products; TCM, trihalomethanes chloroform; BDCM, bromodichloromethane; DBCM, dibromochloromethane; TBM, bromoform; DCM, dichloromethane; DCA, dichloroacetic acid; TCA, trichloroacetic acid.

      According to the Standard for Drinking Water (GB 5749-2022), the detected concentrations of the seven substances were below the concentration limits. The concentrations of DCA and TCA were the highest, whereas those of TCM, BDCM, and DBCM were the lowest. The concentrations of TBM and DCM were below the LOD.

      The results of the total ADD for single pollutant exposure are shown in Table 4. The total ADD of the five DBPs was approximately 10−8 orders of magnitude in the CTE exposure scenario and 10−6 orders of magnitude in the RME exposure scenario. The total ADD to DBCM was the lowest, and that to DCA was the highest.

      Table 4.  Average daily soses of the five DBPs by different routes (mg·kg−1·d−1)

      DBPs CTE scenario RME scenario
      Skin Digestive tract Respiratory tract Total exposure Skin Digestive tract Respiratory tract Total exposure
      TCM 1.20 × 10−8 0 3.07 × 10−8 4.27 × 10−8 7.81 × 10−7 7.83 × 10−9 2.73 × 10−7 1.06 × 10−6
      BDCM 6.65 × 10−9 0 2.70 × 10−8 3.37 × 10−8 4.33 × 10−7 7.37 × 10−9 2.40 × 10−7 6.80 × 10−7
      DBCM 2.90 × 10−9 0 1.27 × 10−8 1.56 × 10−8 1.89 × 10−7 4.47 × 10−9 1.13 × 10−7 3.06 × 10−7
      DCA 1.52 × 10−8 0 8.38 × 10−8 9.90 × 10−8 9.89 × 10−7 5.59 × 10−8 7.44 × 10−7 1.79 × 10−6
      TCA 1.47 × 10−8 0 2.92 × 10−8 4.39 × 10−8 9.56 × 10−7 4.51 × 10−8 2.59 × 10−7 1.26 × 10−6
        Note. DBPs, chlorination disinfection by-products; TCM, trihalomethanes chloroform; BDCM, bromodichloromethane; DBCM, dibromochloromethane; DCA, dichloroacetic acid; TCA, trichloroacetic acid; CTE, central tendency exposure; RME, reasonablemaximum exposure.
    • Of the seven toxic parameters, the main target organ, reference dose (RfD), reference concentration (RfC), and carcinogenic slope factor (SF) were referenced from the EPA IRIS, and the percutaneous absorption coefficient (Kp), regional screening levels (RSL), and critical role start points (PoD) were referenced from the EPA RSLs. The properties and toxicity parameters of the seven typical DBPs are listed in Table 5.

      Table 5.  The properties and toxicity parameters of the seven typical DBPs

      Abbreviation Main target organ RfD RfC SF (mg·kg−1·d−1) Kp (cm/hr) RSL (μg/L) PoD (mg·kg−1·d−1) PoD Limits* (mg/L)
      TBM Liver 0.010 0.0310 0.00683 0.221 1.00 BMD 0.06
      BDCM Kidneys Liver 0.020 0.0620 0.00402 0.134 17.90 LOAEL 0.06
      DBCM Liver 0.020 0.0840 0.00289 0.871 21.40 NOAEL 0.10
      TBM Liver 0.020 0.0079 0.00235 3.290 17.90 NOAEL 0.10
      DCM Liver 0.006 0.600 0.0020 0.00354 11.400 0.19 BMD 0.02
      DCA Nervous System
      Reproductive
      system Liver
      0.004 0.0480 0.00121 1.530 12.5 LOAEL 0.05
      TCA Liver 0.020 0.0670 0.00145 1.090 18.00 BMD 0.10
        Note. *Refers to GB 5749-2022 Standards for drinking water quality. RfD, reference dose; RfC, reference concentration; SF, slope factor; Kp, percutaneous absorption coefficient; RSL, regional screening levels; PoD, critical role start points; TBM, bromoform; BDCM, bromodichloromethane; DBCM, dibromochloromethane; DCM, dichloromethane; DCA, dichloroacetic acid; TCA, trichloroacetic acid.

      The results of the CTE and RME exposure scenarios are presented in Table 6. The HQc and HQn values of the five DBPs were below the cut-off values (10−6 and 1, respectively) in the CTE and RME exposure scenarios. The health risks associated with the two HAAs were slightly higher than those associated with the other three THMs.

      Table 6.  HQc and HQn of single DBP

      DBPs HQc HQn
      CTE RME CTE RME
      TCM 1.32 × 10−9 3.29 × 10−8 4.27 × 10−6 1.06 × 10−4
      BDCM 2.09 × 10−9 4.22 × 10−8 1.68 × 10−6 3.40 × 10−5
      DBCM 1.31 × 10−9 2.57 × 10−8 7.82 × 10−7 1.53 × 10−5
      DCA 4.75 × 10−9 8.59 × 10−8 2.47 × 10−5 4.47 × 10−4
      TCA 2.94 × 10−9 8.44 × 10−8 2.19 × 10−6 6.30 × 10−5
        Note. DBPs, chlorination disinfection by-products; CTE, central tendency exposure; RME, reasonable maximum exposure; TCM, trihalomethanes chloroform; BDCM, bromodichloromethane; DBCM, dibromochloromethane; DCA, dichloroacetic acid; TCA, trichloroacetic acid.

      The HQc and HQn of TCM were magnified when TCA was used as the designated substance. The risks of the other four substances were weighed, and TCA was selected as the designated substance. The risks were calculated according to the two exposure scenarios, CTE and RME, and the results are shown in Table 7. The HQc and HQn of combined exposure to five DBPs were calculated and reported using TCA as the designated substance, which was 4.08 × 10−9 and 1.25 × 10−5 in the CTE scenario, respectively; and 1.44 × 10−7 and 4.37 × 10−4 in the RME scenario, respectively. When calculating the combined exposure risk, the HQc threshold can be relaxed to 10−4; therefore, the risks involved are acceptable.

      Table 7.  HQc and HQn of multiple substances (TCA as the Designated Substance)

      DBPs PoD (mg·kg−1·d−1) Weighted HQc Weighted HQn
      CTE RME CTE RME
      TCM 1.0 2.38 × 10−8 5.92 × 10−7 7.68 × 10−5 1.91 × 10−3
      BDCM 17.9 2.10 × 10−9 4.24 × 10−8 1.69 × 10−6 3.42 × 10−5
      DBCM 21.4 1.11 × 10−9 2.17 × 10−8 6.58 × 10−7 1.29 × 10−5
      DCA 12.5 6.84 × 10−9 1.24 × 10−7 3.56 × 10−5 6.44 × 10−4
      TCA 18.0 2.94 × 10−9 8.44 × 10−8 2.19 × 10−6 6.30 × 10−5
      Total 3.68 × 10−8 8.65 × 10−7 1.17 × 10−4 2.67 × 10−3
        Note. DBPs, chlorination disinfection by-products; PoD, critical role start points; CTE, central tendency exposure; RME, reasonable maximum exposure; TCM, trihalomethanes chloroform; BDCM, bromodichloromethane; DBCM, dibromochloromethane; DCA, dichloroacetic acid; TCA, trichloroacetic acid.

      A Monte Carlo model was used to assess the carcinogenic and non-carcinogenic risks of the five DBPs. As shown in Figure 1, the distribution of the HQc was positively skewed, with the median carcinogenic risk being in the order of 10−9, and 95% of the quantiles of carcinogenic risk were in the order of 10−8. The HQn values of the five DBPs exhibited positively skewed distributions. The median HQn was in the order of 10−6, except for DCA.

      Figure 1.  HQc and HQn probability distribution of the five DBPs.

      With TCA as the designated substance, the total HQc and HQn values after the weighted sum of the five DBPs are shown in Figure 2. The median total HQc was 7.32 × 10−8, and the 95% quantile was 4.41 × 10−7. The median total HQn was 2.35 × 10−4, and the 95% quantile was 1.36 × 10−3.

      Figure 2.  Probability distribution of total HQc and HQn of the five DBPs.

    • In this study, HAAs and THMs dominated the chlorinated by-products of recreational water disinfection in large parks in Shanghai, and the average daily exposure to DBCMs was the lowest and that to DCMs was the highest in the occupational population. The health risks of HAAs were slightly more significant than those of THMs. Under CTE-, RME-, and Monte Carlo simulation-based exposure conditions, the carcinogenic and non-carcinogenic risks of combined exposure to the five chlorinated DBPs did not exceed the cut-off values, and the risks were acceptable.

      The concentrations of DBPs detected in the recreational and spray waters of the three large parks involved in this study were all lower than the LOD. The detection concentration of HAAs was higher than that of THMs. Previous studies have reported different results regarding the differences in the concentrations of these two substances[22,23]. This difference may be due to the amount and frequency of the chlorine-containing disinfectants used, water temperature, water quality, or other factors. The health risks associated with HAAs may be higher than those associated with THMs. Thus, it has been proposed that HAAs can be degraded into volatile THMs via decarboxylation reactions to reduce their toxicity[24].

      Toxicological, epidemiological, and mechanistic studies have provided strong evidence for the carcinogenicity of DBPs. Individual DBPs differ in their carcinogenic potency and overall toxicity[25]. For example, the toxic effects of halogenated benzoquinones (HBQs) are 1000-fold greater than those of THMs and HAAs, including cytotoxicity, genotoxicity, and developmental toxicity[2629]. Most nitrogen-containing DBPs (NAs, HNMs, and HANs) exhibit higher toxicity and health risks than carbon-containing DBPs (HAAs and THMs)[30]. The low or no detection rates of DBPs in the recreational water samples in this study, except for HAAs and THMs, indicated that the health risk of exposure to DBPs for the occupational population exposed to water in large amusement parks in Shanghai was low, and occupational exposure was within acceptable limits.

      In terms of carcinogenic and non-carcinogenic risks, a health risk assessment of indoor swimming pools in Shanghai showed that the total risk of THMs and HAAs attributable to lifetime cancers exceeded 10−6, indicating a negligible risk level, which is consistent with the results of this study[31]. However, although the rate of ingestion of recreational water is generally considered relatively low, given the chronic exposure due to occupational exposure, long-term follow-up studies should be designed to determine the chronic carcinogenic and non-carcinogenic risks of these DBPs in occupational populations.

      This study provides the first accurate exposure assessment and cancer risk characterization of DBPs in water from recreational water facilities in large amusement parks, based on exposure parameters obtained by quantitative measurements combined with questionnaires for the water-related occupational population in Shanghai. However, there is some uncertainty regarding the health risk assessment of the DBPs. First, the exposure parameters of the occupational population were mainly derived from the questionnaire and exposure parameter manual. The data in the exposure parameter manual may not accurately reflect the characteristics of the study population, and there may be some deviations. Second, the toxicity parameters mainly come from EPA-recommended values. The toxicity values differed for different research purposes and designs, and there was some uncertainty in the extrapolation data from animal experiments. Third, in the multipollutant risk assessment, the weighted sum was calculated according to the PoD of the substance. Using TCA as the designated substance, the health risks of other DBPs were overestimated, and the health risk of joint exposure was overestimated to a certain extent.

      In conclusion, typical DBPs were detected in recreational water and spray samples collected from three large amusement parks in Shanghai. The health risks of DBPs and their mixtures were within acceptable limits. The results can provide a basis for preventing occupational exposure to health risks from chlorination and recreational water disinfection and for assessing the social benefits and burden of occupational exposure to DBPs in water-related occupational populations. Furthermore, the assessment method used in this study can provide a reference for assessing water pollution under specific scenarios. However, attention must be paid to model uncertainties and the variability of sensitive parameters.

参考文献 (31)
补充材料:
23473+Supplementary Materials.pdf

目录

    /

    返回文章
    返回