2024 Vol. 51, No. 1
Article Contents

WANG Renqi, TAN Keyan, SUN Qian, LI Hang, ZHANG Longlong, WANG Yu, YUAN Xin, ZHU Xiaohua, CAI Jingyi. 2024. Health risk assessment of heavy metals in typical oats production region of Bashang area in Zhangjiakou, Hebei Province[J]. Geology in China, 51(1): 264-275. doi: 10.12029/gc20221228002
Citation: WANG Renqi, TAN Keyan, SUN Qian, LI Hang, ZHANG Longlong, WANG Yu, YUAN Xin, ZHU Xiaohua, CAI Jingyi. 2024. Health risk assessment of heavy metals in typical oats production region of Bashang area in Zhangjiakou, Hebei Province[J]. Geology in China, 51(1): 264-275. doi: 10.12029/gc20221228002

Health risk assessment of heavy metals in typical oats production region of Bashang area in Zhangjiakou, Hebei Province

    Fund Project: Supported by the project of China Geological Survey (No.DD20190655).
More Information
  • Author Bio: WANG Renqi, male, born in 1999, master candidate, major in geochemistry, mainly engaged in environmental geochemistry research; E-mail: renqiwang1999@163.com
  • Corresponding author: TAN Keyan, female, born in 1979, professor, mainly engaged in environmental geochemistry research; E-mail: tankeyan2017@163.com
  • This paper is the result of environmental geological survey engineering.

    Objective

    With the purpose of evaluating health risk of heavy metals in the typical Oats Production Region of Bashang area in Zhangjiakou, oats fields in Zhangbei County were selected as the research site, and atmospheric dry and wet depositions, groundwater samples, topsoils and oats point-to-point samples were systematically collected to determine health risk of heavy metals.

    Methods

    Health risk assessment mode were used to evaluate non-carcinogenic and carcinogenic risks of topsoils, air depositions and groundwater samples, single target hazard quotient (THQ) and comprehensive target hazard quotient (TTHQ) were used to assess the health risk of heavy metals in oats to human health.

    Results

    The result showed that carcinogenic element Cr, and non-carcinogenic elements Pb and Cu in the groundwater of study area pose health risks, with Pb being the major factor contributing to the health risk of heavy metals in groundwater. There was no non-carcinogenic health risk of heavy metals found in the atmosphere. Among the carcinogenic elements, Cr, As and Ni posed certain carcinogenic risk. There was no carcinogenic or non-carcinogenic risk of heavy metals in the soil samples of the study area; Cu, Zn and Ni in some oats seed samples exhibited health risks to both adults and children, with mean values of THQ for children being higher than 1, and THQ and TTHQ risk values were both higher in children than adults.

    Conclusions

    Through the comprehensive health risk assessment of heavy metals in typical oats production region of Bashang area in Zhangjiakou, it was found that heavy metals in this area pose relatively little health risks to humans, but attention needs to be paid to their impact on children’s health, and some heavy metals need to be monitored for risk.

  • 加载中
  • [1] Abbas A, Al−Amer A M, Laoui T, Al−Marri M J, Nasser M S, Khraisheh M, Atieh M A. 2016. Heavy metal removal from aqueous solution by advanced carbon nanotubes: Critical review of adsorption applications[J]. Separation and Purification Technology, 157: 141−161. doi: 10.1016/j.seppur.2015.11.039

    CrossRef Google Scholar

    [2] Amin N U, Ahmad T. 2015. Contamination of soil with heavy metals from industrial effluent and their translocation in green vegetables of Peshawar, Pakistan[J]. RSC Advances, 5(19): 14322−14329. doi: 10.1039/C4RA14957B

    CrossRef Google Scholar

    [3] Cai K, Li C. 2022. Ecological risk, input flux, and source of heavy metals in the agricultural plain of Hebei Province, China[J]. International Journal of Environmental Research and Public Health, 19(4): 2288.

    Google Scholar

    [4] Cai K, Li C, Na S. 2019. Spatial distribution, pollution source, and health risk assessment of heavy metals in atmospheric depositions: A case study from the sustainable city of Shijiazhuang, China[J]. Atmosphere, 10(4): 222. doi: 10.3390/atmos10040222

    CrossRef Google Scholar

    [5] Chai Y, Guo J, Chai S, Cai J, Xue L, Zhang Q. 2015. Source identification of eight heavy metals in grassland soils by multivariate analysis from the Baicheng–Songyuan area, Jilin Province, Northeast China[J]. Chemosphere, 134: 67−75. doi: 10.1016/j.chemosphere.2015.04.008

    CrossRef Google Scholar

    [6] Drobnik T, Greiner L, Keller A, Grêt−Regamey A. 2018. Soil quality indicators–From soil functions to ecosystem services[J]. Ecological Indicators, 94: 151−169.

    Google Scholar

    [7] Feng W, Guo Z, Peng C, Xiao X, Shi L, Zeng Peng Z, Ran H, Xue Q. 2019. Atmospheric bulk deposition of heavy metal (loid) s in central south China: Fluxes, influencing factors and implication for paddy soils[J]. Journal of Hazardous Materials, 371: 634−642. doi: 10.1016/j.jhazmat.2019.02.090

    CrossRef Google Scholar

    [8] Guo Zhijuan, Zhou Yalong, Wang Qiaolin, Wang Chenwen, Song Wentao, Liu Fei, Kong Mu. 2021. Characteristics of soil heavy metal pollution and health risk in Xiong'an New District[J]. China Environmental Science, 41(1): 431−441 (in Chinese with English abstract).

    Google Scholar

    [9] He Jin, Zheng Yidi, Deng Qijun, He Xueqin. 2021. Groundwater origin and hydrochemical characteristics in cenozoic basaltic aquifer in North China: A case study of Zhangbei County, Hebei Province[J]. Journal of Jilin University (Earth Science Edition), 52(1): 181−193 (in Chinese with English abstract).

    Google Scholar

    [10] Hong H, Dai M, Lu H, Liu J, Zhang J, Yan C. 2018. Risk assessment and driving factors for artificial topography on element heterogeneity: Case study at Jiangsu, China[J]. Environmental Pollution, 233: 246−260.

    Google Scholar

    [11] Li H, Ji H. 2017. Chemical speciation, vertical profile and human health risk assessment of heavy metals in soils from coal−mine brownfield, Beijing, China[J]. Journal of Geochemical Exploration, 183: 22−32. doi: 10.1016/j.gexplo.2017.09.012

    CrossRef Google Scholar

    [12] Li Jingxin. 2009. Study on Evaluation of Ecological Security in the Northern Farming−pastoral Transitional Zone—Taking Zhangbei County as an Example[D]. Beijing: Beijing Forestry University (in Chinese with English abstract).

    Google Scholar

    [13] Li T, Song Y, Yuan X, Li J, Ji J, Fu X, Zhang Q, Guo S. 2018. Incorporating bioaccessibility into human health risk assessment of heavy metals in rice (Oryza sativa L.): A probabilistic−based analysis[J]. Journal of Agricultural and Food Chemistry, 66(22): 5683−5690. doi: 10.1021/acs.jafc.8b01525

    CrossRef Google Scholar

    [14] Liang Q, Xue Z J, Wang F, Sun Z M, Yang Z X, Liu S Q. 2015. Contamination and health risks from heavy metals in cultivated soil in Zhangjiakou City of Hebei Province, China[J]. Environmental Monitoring and Assessment, 187: 1−11.

    Google Scholar

    [15] Liu Bin, Cui Xingtao, Wang Xueqiu, Hu Qinghai. 2023. Source identification and health risk assessment of heavy metals in groundwater of Yongqing County, Hebei Province[J]. Journal of Ecology and Rural Environment, 39: 741−749 (in Chinese with English abstract).

    Google Scholar

    [16] Liu Chao, Huo Yongwei, Xu Yueqing, Huang An, Sun Peiling, Lu Longhui. 2018. Changes in cultivated land and influencing factors before and after the implementation of grain for green project in Zhangjiakou city[J]. Journal of Natural Resources, 33(10): 1806−1820 (in Chinese with English abstract). doi: 10.31497/zrzyxb.20170965

    CrossRef Google Scholar

    [17] Liu Jin, Pan Yuepeng, Shi Huading. 2022. Atmospheric deposition as a dominant source of cadmium in agricultural soils of north China[J]. Journal of Agro−Environment Science, 41(8): 1698−1708 (in Chinese with English abstract).

    Google Scholar

    [18] Liu Q, Wang F, Meng F, Jiang L, Li G, Zhou R. 2018a. Assessment of metal contamination in estuarine surface sediments from Dongying City, China: Use of a modified ecological risk index[J]. Marine Pollution Bulletin, 126: 293−303. doi: 10.1016/j.marpolbul.2017.11.017

    CrossRef Google Scholar

    [19] Liu R, Liu J, Zhang Z, Borthwick A G, Cai Y, Dong L, Du X. 2018b. Risks of airborne pollution accidents in a major conurbation: Case study of Zhangjiakou, a host city for the 2022 Winter Olympics[J]. Stochastic Environmental Research and Risk Assessment, 32: 3257−3272. doi: 10.1007/s00477-018-1590-5

    CrossRef Google Scholar

    [20] Liu Rui, Zhang Hui, Gou Xin, Luo Xuqiang, Yang Hongyan. 2014. Approaches of health risk assessment for heavy metals applied in China and advance in exposure assessment models: A review[J]. Ecology and Environmental Sciences, 23(7): 1239−1244 (in Chinese with English abstract).

    Google Scholar

    [21] Mahmood Q, Shaheen S, Bilal M, Tariq M, Zeb B S, Ullah Z, Ali A. 2019. Chemical pollutants from an industrial estate in Pakistan: A threat to environmental sustainability[J]. Applied Water Science, 9: 1−9. doi: 10.1007/s13201-018-0879-3

    CrossRef Google Scholar

    [22] Muhammad S, Shah M T, Khan S. 2011. Health risk assessment of heavy metals and their source apportionment in drinking water of Kohistan region, northern Pakistan[J]. Microchemical Journal, 98(2): 334−343. doi: 10.1016/j.microc.2011.03.003

    CrossRef Google Scholar

    [23] Shan H, Bingsheng X, Ling L, Geng W, Yan L. 2019. Practical study on standardization of local ecological civilization−A case study of Zhangjiakou[C]//IOP Conference Series: Earth and Environmental Science. IOP Publishing, 295(2): 012080.

    Google Scholar

    [24] Shi Huanhuan, Pan Yujie, Zeng Min, Huang Changsheng, Hou Qingqin, Pi Pengcheng, Peng Hongxia. 2021. Source analysis and health risk assessment of heavy metals in groundwater of Leizhou Peninsula[J]. Environmental Science, 42(9): 4246−4256 (in Chinese with English abstract).

    Google Scholar

    [25] Sun P, Xu Y, Yu Z, Liu Q, Xie B, Liu J. 2016. Scenario simulation and landscape pattern dynamic changes of land use in the poverty belt around Beijing and Tianjin: A case study of Zhangjiakou city, Hebei Province[J]. Journal of Geographical Sciences, 26: 272−296. doi: 10.1007/s11442-016-1268-1

    CrossRef Google Scholar

    [26] Tan B, Wang H, Wang X, Ma C, Zhou J, Dai X. 2021. Health risks and source analysis of heavy metal pollution from dust in Tianshui, China[J]. Minerals, 11(5): 502. doi: 10.3390/min11050502

    CrossRef Google Scholar

    [27] Tian Yanan, Zhang Menghan, Xu Dangfei, Zhang Shengwei. 2019. Landscape ecological security patterns in an ecological city, based on source−sink theory[J]. Acta Ecologica Sinica, 39: 2311−2321 (in Chinese with English abstract).

    Google Scholar

    [28] Wang Baojun, Song Cuier, Fu Hua. 2008. Analysis on the environment features and problems in the Beijing−Zhangjiakou region[J]. Arid Zone Research, 25(4): 537−543 (in Chinese with English abstract).

    Google Scholar

    [29] Wang C, Zhou S, Song J, Wu S. 2018. Human health risks of polycyclic aromatic hydrocarbons in the urban soils of Nanjing, China[J]. Science of the Total Environment, 612: 750−757. doi: 10.1016/j.scitotenv.2017.08.269

    CrossRef Google Scholar

    [30] Wang J, Chen C. 2015. The current status of heavy metal pollution and treatment technology development in China[J]. Environmental Technology Reviews, 4(1): 39−53. doi: 10.1080/21622515.2015.1051136

    CrossRef Google Scholar

    [31] Wang M, Zhao W, Li L, Liu T, Wang L, Shen N, Hong J, Zhao W, Hu Z. 2022. Air quality assessment and Gray model prediction for the 2022 Winter Olympics in Zhangjiakou, China[J]. Air Quality, Atmosphere & Health, 15(7): 1303−1315.

    Google Scholar

    [32] Xu Chaoxuan, Lu Chunxuan, Huang Shaolin. 2020. Study on ecological vulnerability and its influencing factors in Zhangjiakou area[J]. Journal of Natural Resources, 35(6): 1288−1300 (in Chinese with English abstract). doi: 10.31497/zrzyxb.20200603

    CrossRef Google Scholar

    [33] Yang An, Wang Yihan, Hu Jian, Liu Xiaolong, Li Jun. 2020. Evaluation and source of heavy metal pollution in surface soil of Qinghai−Tibet plateau[J]. Environmental Science, 41(2): 886−894 (in Chinese with English abstract).

    Google Scholar

    [34] Yang S, Liu J, Bi X, Ning Y, Qiao S, Yu Q, Zhang J. 2020. Risks related to heavy metal pollution in urban construction dust fall of fast−developing Chinese cities[J]. Ecotoxicology and Environmental Safety, 197: 110628. doi: 10.1016/j.ecoenv.2020.110628

    CrossRef Google Scholar

    [35] Yang Q, Li Z, Lu X, Duan Q, Huang L, Bi J. 2018. A review of soil heavy metal pollution from industrial and agricultural regions in China: Pollution and risk assessment[J]. Science of the Total Environment, 642: 690−700. doi: 10.1016/j.scitotenv.2018.06.068

    CrossRef Google Scholar

    [36] Yang Xiaoyan, Jia Qiumiao, Sun Dali, Hu Yongfeng, Lü Xiaojian. 2021. Research on the relationship between urbanization and atmospheric environmental quality in the economic development of major cities in Beijing−Tianjin−Hebei region[J]. Rock and Mineral Analysis, 40(2): 273−284 (in Chinese with English abstract).

    Google Scholar

    [37] Yu Feng, Wang Wei, Yu Yang, Wang Denghong, Liu Shanbao, Gao Juanqin, Lü Binting, Liu Lijun. 2021. Distribution characteristics and ecological risk assessment of heavy metals in soils from Jiulong Li−Be mining area, western Sichuan Province, China[J]. Rock and Mineral Analysis, 40(3): 408−424 (in Chinese with English abstract).

    Google Scholar

    [38] Zhang J, Gao X. 2015. Heavy metals in surface sediments of the intertidal Laizhou Bay, Bohai Sea, China: Distributions, sources and contamination assessment[J]. Marine Pollution Bulletin, 98(1−2): 320−327.

    Google Scholar

    [39] Zhang Xia, Liu Bin, Xiao Bolin, Wang Jia, Wan Da. 2020. Pollution characteristics and assessment of heavy metals in atmospheric deposition in core urban areas, Chongqing[J]. Environmental Science, 41(12): 5288−5294 (in Chinese with English abstract).

    Google Scholar

    [40] Zhao Jiawei, Zhang Yunpeng, Liu Zhiyuan, Chai Quan, Wei Yunfei. 2022. Radon distribution characteristics and controlling factors in the soil of Zhangbei, Hebei Province[J]. Computing Techniques for Geophysical and Geochemical Exploration, 44(3): 375−380 (in Chinese with English abstract).

    Google Scholar

    [41] Zuo Lu, Sun Leigang, Lu Junjing, Xu Quanhong, Liu Jianfeng, Ma Xiaoqian. 2022. MODIS−based comprehensive assessment and spatial−temporal change monitoring of ecological quality in Beijing−Tianjin−Hebei region[J]. Remote Sensing for Natural Resources, 34(2): 203−214 (in Chinese with English abstract).

    Google Scholar

    [42] 郭志娟, 周亚龙, 王乔林, 王成文, 宋云涛, 刘飞, 孔牧. 2021. 雄安新区土壤重金属污染特征及健康风险[J]. 中国环境科学, (1): 431−441.

    Google Scholar

    [43] 何锦, 郑一迪, 邓启军, 何雪琴. 2022. 我国北方新生代玄武岩地下水化学特征及其成因—以河北省张北县为例[J]. 吉林大学学报:地球科学版, 52(1): 181−193.

    Google Scholar

    [44] 李婧欣. 2009. 北方农牧交错带生态安全评价研究—以张北县为例[D]. 北京: 北京林业大学.

    Google Scholar

    [45] 刘彬, 崔邢涛, 王学求, 胡庆海. 2023. 河北省永清县地下水重金属来源识别及健康风险评价[J]. 生态与农村环境学报, 39(6): 741−749.

    Google Scholar

    [46] 刘超, 霍永伟, 许月卿, 黄安, 孙丕苓, 卢龙辉. 2018. 生态退耕前后张家口市耕地变化及影响因素识别[J]. 自然资源学报, 33(10): 1806−1820.

    Google Scholar

    [47] 刘进, 潘月鹏, 师华定. 2022. 华北地区农田土壤镉来源及大气沉降的贡献[J]. 农业环境科学学报, 41(8): 1698−1708.

    Google Scholar

    [48] 刘蕊, 张辉, 勾昕, 罗绪强, 杨鸿雁. 2014. 健康风险评估方法在中国重金属污染中的应用及暴露评估模型的研究进展[J]. 生态环境学报, 23(7): 1239−1244. doi: 10.3969/j.issn.1674-5906.2014.07.023

    CrossRef Google Scholar

    [49] 师环环, 潘羽杰, 曾敏, 黄长生, 侯清芹, 皮鹏程, 彭红霞. 2021. 雷州半岛地下水重金属来源解析及健康风险评价[J]. 环境科学, 42(9): 4246−4256.

    Google Scholar

    [50] 田雅楠, 张梦晗, 许荡飞, 张圣微. 2019. 基于 “源−汇” 理论的生态型市域景观生态安全格局构建[J]. 生态学报, 39(7): 2311−2321.

    Google Scholar

    [51] 王宝钧, 宋翠娥, 傅桦. 2008. 京张区域生态与环境特征及问题分析[J]. 干旱区研究, 25(4): 537−543.

    Google Scholar

    [52] 徐超璇, 鲁春霞, 黄绍琳. 2020. 张家口地区生态脆弱性及其影响因素[J]. 自然资源学报, 35(6): 1288−1300.

    Google Scholar

    [53] 杨安, 王艺涵, 胡健, 刘小龙, 李军. 2020. 青藏高原表土重金属污染评价与来源解析[J]. 环境科学, 41(2): 886−894.

    Google Scholar

    [54] 杨晓燕, 贾秋淼, 孙大利, 胡永锋, 吕晓剑. 2021. 京津冀主要大城市经济发展中城市化与大气环境质量的关系[J]. 岩矿测试, 40(2): 273−284.

    Google Scholar

    [55] 于沨, 王伟, 于扬, 王登红, 刘善宝, 高娟琴, 吕秉廷, 刘丽君. 2021. 川西九龙地区锂铍矿区土壤重金属分布特征及生态风险评价[J]. 岩矿测试, 40(3): 408−424.

    Google Scholar

    [56] 张夏, 刘斌, 肖柏林, 王佳, 万达. 2020. 重庆主城大气降尘中重金属污染特征及评价[J]. 环境科学, 41(12): 5288−5294.

    Google Scholar

    [57] 赵嘉炜, 张云鹏, 刘志远, 柴泉, 魏云飞. 2022. 河北省张北地区土壤氡分布特征及控制因素研究[J]. 物探化探计算技术, 44(3): 375−380.

    Google Scholar

    [58] 左璐, 孙雷刚, 鲁军景, 徐全洪, 刘剑锋, 马晓倩. 2022. 基于MODIS的京津冀地区生态质量综合评价及其时空变化监测[J]. 自然资源遥感, 34(2): 203−214.

    Google Scholar

  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Figures(5)

Tables(7)

Article Metrics

Article views(1046) PDF downloads(106) Cited by(0)

Access History

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint