张红, 谭杨朋, 寻寒. 2020—2021年某市单村供水工程水质监测分析[J]. 环境卫生学杂志, 2023, 13(3): 218-223. DOI: 10.13421/j.cnki.hjwsxzz.2023.03.010
    引用本文: 张红, 谭杨朋, 寻寒. 2020—2021年某市单村供水工程水质监测分析[J]. 环境卫生学杂志, 2023, 13(3): 218-223. DOI: 10.13421/j.cnki.hjwsxzz.2023.03.010
    ZHANG Hong, TAN Yang-peng, XUN Han. Analysis of water quality in rural single-village water supply projects in a city, 2020—2021[J]. Journal of Environmental Hygiene, 2023, 13(3): 218-223. DOI: 10.13421/j.cnki.hjwsxzz.2023.03.010
    Citation: ZHANG Hong, TAN Yang-peng, XUN Han. Analysis of water quality in rural single-village water supply projects in a city, 2020—2021[J]. Journal of Environmental Hygiene, 2023, 13(3): 218-223. DOI: 10.13421/j.cnki.hjwsxzz.2023.03.010

    2020—2021年某市单村供水工程水质监测分析

    Analysis of water quality in rural single-village water supply projects in a city, 2020—2021

    • 摘要:
      目的 了解某市单村供水工程水质卫生状况,为保障农村居民饮用水安全提供参考依据。
      方法 对某市单村供水工程设置监测点并分析水质影响因素, 筛查饮用水超标指标并应用主成分分析综合评价。
      结果 2020年和2021年某市单村工程水质合格率分别是28.57%、36.22%,Logistic回归分析显示年份(OR=2.36, 95%CI: 1.05,5.31)、丰枯水期(OR=3.43, 95%CI: 1.51,7.82)、供水能力(OR1=2.69,95%CI: 1.27,5.70; OR2=3.58, 95%CI: 1.54,8.34)是影响水质的重要因素。主成分分析提示不合格指标主要是微生物和感官指标。
      结论 微生物污染是影响单村供水工程水质合格率的主要因素,应加强水质消毒、规范制水操作,减少或控制介水传染病风险。

       

      Abstract:
      Objective To investigate the water quality and hygiene status of single-village water supply project in the rural areas of a city, and to provide a reference for ensuring the safety of drinking water for rural residents.
      Methods The monitoring sites of water quality were established at a single-village water supply project in a city, and the influencing factors of water quality were analyzed.Screening for the indices exceeding the drinking water standard was performed, and a principal component analysis was used to comprehensively evaluate the indices exceeding the drinking water standard.
      Results In 2020 and 2021, the qualification rates of water quality at the single-village water supply projects were 28.57% and 36.22%, respectively. The logistic regression analysis showed that years (OR=2.36, 95%CI: 1.05, 5.31), water season (OR=3.43, 95%CI: 1.51, 7.82), water supply capacity (OR1=2.69, 95%CI: 1.27, 5.70;OR2=3.58, 95%CI: 1.54, 8.34) were important factors affecting water quality. The principal component analysis indicated that microbial indicators and sensory indicators were the main indices exceeding the drinking water standard.
      Conclusion Microbial contamination was the main factor affecting the qualification rates of water quality at a single-village water supply project. Therefore, water disinfection should be strengthened and water preparation operation should be standardized to reduce or control the risk of water-borne infectious diseases.

       

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