陈栋, 高大维, 杨洋, 罗慧敏, 李玉. 2015—2019年六安市农村集中式供水水质影响因素分析[J]. 环境卫生学杂志, 2021, 11(4): 355-360. DOI: 10.13421/j.cnki.hjwsxzz.2021.04.009
    引用本文: 陈栋, 高大维, 杨洋, 罗慧敏, 李玉. 2015—2019年六安市农村集中式供水水质影响因素分析[J]. 环境卫生学杂志, 2021, 11(4): 355-360. DOI: 10.13421/j.cnki.hjwsxzz.2021.04.009
    CHEN Dong, GAO Dawei, YANG Yang, LUO Huimin, LI Yu. Influencing Factors for Water Quality of Centralized Drinking Water Supply in Rural Areas of Lu'an, China, 2015—2019[J]. Journal of Environmental Hygiene, 2021, 11(4): 355-360. DOI: 10.13421/j.cnki.hjwsxzz.2021.04.009
    Citation: CHEN Dong, GAO Dawei, YANG Yang, LUO Huimin, LI Yu. Influencing Factors for Water Quality of Centralized Drinking Water Supply in Rural Areas of Lu'an, China, 2015—2019[J]. Journal of Environmental Hygiene, 2021, 11(4): 355-360. DOI: 10.13421/j.cnki.hjwsxzz.2021.04.009

    2015—2019年六安市农村集中式供水水质影响因素分析

    Influencing Factors for Water Quality of Centralized Drinking Water Supply in Rural Areas of Lu'an, China, 2015—2019

    • 摘要:
      目的 了解2015—2019年影响六安市农村集中式供水水质合格率的影响因素,为相关部门改善饮水安全决策提供数据支持。
      方法 依据监测方案要求,每年枯水期和丰水期对六安市农村集中式供水单位出厂水和末梢水的31项指标进行水质监测,按照《生活饮用水卫生标准》(GB 5749-2006)对水样结果进行合格判定,采用χ2检验对水质合格率进行比较,采用Logistic回归分析对水质影响因素进行分析。
      结果 5年共监测水样3 016份,合格水样2 139份,总合格率为70.92%。2015—2019年水质合格率依次为66.97%、66.23%、60.10%、72.63%和87.15%。总大肠菌群、菌落总数和浑浊度单项指标合格率较低,分别为78.38%、94.03%、94.46%,其余指标合格率均在99%以上。多因素分析显示,水源类型、消毒方式和水厂规模是六安市农村集中式饮用水水质合格率的影响因素。
      结论 2015—2019年六安市农村集中式饮用水水质合格率呈现整体上升的趋势,微生物指标仍是影响水质合格率的主要指标,应采取有针对性的措施,保障农村居民饮水安全。

       

      Abstract:
      Objective To investigate the influencing factors for the qualified rate of water quality of centralized drinking water supply in the rural areas of Lu'an, China from 2015 to 2019, and to provide a data basis for relevant departments in improving strategies to guarantee drinking water safety.
      Methods According to the requirements of the monitoring program, the water quality of centralized water supply in the rural areas of Lu'an was monitored during wet and dry seasons every year. The monitoring results were evaluated according to the Standards for Drinking Water Quality (GB 5749-2006). Chi-square test was used to compare the qualified rates of water samples. A logistic regression analysis was used to find the influencing factors for water quality.
      Results During the five years, 3 016 water samples were monitored, and the overall qualified rate of water samples was 70.92% (2139 qualified samples). From 2015 to 2019, the qualified rate of water samples was 66.97%, 66.23%, 60.10%, 72.63%, and 87.15%, respectively. Indices with a low qualified rate were total coliform group, total colony count, and turbidity, which had a qualified rate of 78.38%, 94.03%, and 94.46%, respectively, and the qualified rates of other indices were more than 99%. A multivariate analysis showed that types of water sources, disinfection method, and size of water plants were the influencing factors for the qualified rates of water samples of centralized drinking water supply in the rural areas of Lu'an.
      Conclusion The qualified rates of water samples of centralized drinking water supply in the rural areas of Lu'an showed a rising trend. Microbial indices were still the main influencing factors for water samples qualified rates. Therefore, targeted measures should be taken to ensure the safety of drinking water for rural residents.

       

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