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    陈绍伟, 杨炜毓, 黄梓培, 刘桂炎, 黄谷孙, 林文池. 2017—2019年汕头市生活饮用水水质影响因素分析[J]. 环境卫生学杂志, 2023, 13(2): 134-138, 148. DOI: 10.13421/j.cnki.hjwsxzz.2023.02.011
    引用本文: 陈绍伟, 杨炜毓, 黄梓培, 刘桂炎, 黄谷孙, 林文池. 2017—2019年汕头市生活饮用水水质影响因素分析[J]. 环境卫生学杂志, 2023, 13(2): 134-138, 148. DOI: 10.13421/j.cnki.hjwsxzz.2023.02.011
    shu
    CHEN Shao-wei, YANG Wei-yu, HUANG Zi-pei, LIU Gui-yan, HUANG Gu-sun, LIN Wen-chi. Analysis of factors affecting the quality of drinking water in Shantou city, China, 2017-2019[J]. Journal of Environmental Hygiene, 2023, 13(2): 134-138, 148. DOI: 10.13421/j.cnki.hjwsxzz.2023.02.011
    Citation: CHEN Shao-wei, YANG Wei-yu, HUANG Zi-pei, LIU Gui-yan, HUANG Gu-sun, LIN Wen-chi. Analysis of factors affecting the quality of drinking water in Shantou city, China, 2017-2019[J]. Journal of Environmental Hygiene, 2023, 13(2): 134-138, 148. DOI: 10.13421/j.cnki.hjwsxzz.2023.02.011
    shu

    2017—2019年汕头市生活饮用水水质影响因素分析

    Analysis of factors affecting the quality of drinking water in Shantou city, China, 2017-2019

      摘要
    • 摘要:
      目的 探讨影响汕头市生活饮用水水质的主要因素。
      方法 根据《生活饮用水标准检验方法》(GB/T 5750-2006)和《生活饮用水卫生标准》(GB 5749-2006)对2017—2019年汕头市生活饮用水进行检测和评价, 采用χ2检验比较不同因素影响水质合格率的差异, 应用Logistic回归模型分析水质潜在影响因素主效应和因素—因素间交互效应对饮用水合格率的影响。
      结果 2017—2019年汕头市共监测生活饮用水1 035份, 总合格率为68.99%。单因素和多因素分析结果显示, 水样类型、水源类型、水处理工艺和消毒设备使用与生活饮用水合格率均有统计学关联(P < 0.05), 且水样类型与水源类型、供水规模与水处理工艺以及供水规模与消毒设备使用对生活饮用水水质合格率存在统计学意义的相乘和相加交互效应(P < 0.05)。
      结论 汕头市部分地区, 特别是农村地区生活饮用水水质仍待改善, 重点是农村地区, 应加强水源地防护, 提升农村水厂制水工艺能力和强化消毒措施, 同时加强监督管理, 确保人民群众的饮水安全。

       

      Abstract:
      Objective To explore the major factors affecting the quality of drinking water in Shantou.
      Methods According to the Standard Examination Methods for Drinking Water (GB/T 5750-2006) and Standard for Drinking Water Quality (GB 5749-2006), the samples of drinking water in Shantou were collected from 2017 to 2019 for examination and evaluation. The chi-square test was used to compare the qualification rate of drinking water influenced by different factors. A Logistic regression model was used to analyze the qualification rate of drinking water being affected by the main effects of potential influencing factors and factor-factor interactions.
      Results From 2017 to 2019, 1 035 drinking water samples were collected in Shantou, with an overall qualification rate of 68.99%. Univariate and multivariate analyses showed that water sample types, water source types, water treatment technology, and use of disinfection equipment were significantly related to the qualification rate of drinking water (P < 0.05). Significant multiplicative and additive effects were observed between water sample types and water source types, between scale of water supply and water treatment technology, and between scale of water supply and use of disinfection equipment (P < 0.05).
      Conclusion The quality of drinking water in some areas of Shantou needs to be improved, especially in rural areas. The protection of water sources should be strengthened, and the processing technology and disinfection of drinking water should be enhanced in rural water plants.

       

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