ISSN 1009-6248CN 61-1149/P 双月刊

主管单位:中国地质调查局

主办单位:中国地质调查局西安地质调查中心
中国地质学会

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    关中平原某工农业区地下水水文地球化学特征及人体健康风险评估

    Hydrogeochemical Characteristics and Human Health Risk Assessment of Groundwater in a Industrial and Agricultural Area of Guanzhong Plain

    • 摘要: 地下水环境保护是区域水资源可持续利用的关键基础。针对关中平原某工农业区地下水水质特征与人体健康风险问题,本研究系统采集38组地下水样品,综合运用数理统计、Piper三线图、离子比值分析及熵权水质指数法(EWQI)等方法开展水化学特征解析与健康风险评估。研究表明:①水化学阳离子的浓度顺序为Na+>Mg2+>Ca2+>K+,阴离子的浓度顺序为HCO3>SO42−>Cl>NO3,主要水化学类型为Na-Cl-SO4和Na-Ca-HCO3型;②水化学演化受白云石溶解和阳离子交换作用主导,NO3浓度高低分布与工业活动密切相关;③EWQI评价显示92.1%样品水质适宜饮用,劣质水集中分布于中南部的工业聚集区;④针对F和NO3人类健康风险评估表明,不同人群的非致癌人类健康风险顺序为:儿童>成年女性>成年男性。建议通过优化工业布局、控制农业面源污染等针对性措施降低健康风险。研究成果为黄土塬区地下水污染防治与可持续管理提供了科学依据。

       

      Abstract: The protection of groundwater environment is a critical foundation for the sustainable utilization of regional water resources. To address the issues of groundwater quality characteristics and human health risks in industrial and agricultural area of Guanzhong plain, this study systematically collected 38 groundwater samples and comprehensively applied mathematical statistics, Piper trilinear diagram, ion ratio analysis, and entropy-weighted water quality index (EWQI) methods to analyze hydrochemical characteristics and assess health risks. The results indicate that: ① The concentration order of cations is Na+>Mg2+>Ca2+>K+, while the concentration order of anions is HCO3>SO42−>Cl>NO3, with the main hydrochemical types being Na-Cl-SO4 and Na-Ca-HCO3; ② The hydrochemical evolution is dominated by dolomite dissolution and cation exchange, and the distribution of NO3 concentrations is closely related to industrial activities; ③ EWQI evaluation shows that 92.1% of the samples are suitable for drinking, with poor-quality water mainly concentrated in the industrial agglomeration area in the central-southern part of the region; ④ Human health risk assessment of F and NO3 indicates that the non-carcinogenic health risks for different populations follow the order: children>adult females>adult males. It is recommended to reduce health risks through targeted measures such as optimizing industrial layout and controlling agricultural non-point source pollution. The research results provide a scientific basis for groundwater pollution prevention and sustainable management in the Loess Tableland region.

       

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