范尉尉, 陈凤格, 郭占景, 赵伟, 白萍, 宋红梅. 2012年某市农村饮用水中微生物指标分析[J]. 环境与职业医学, 2014, 31(9): 723-725. DOI: 10.13213/j.cnki.jeom.2014.0177
引用本文: 范尉尉, 陈凤格, 郭占景, 赵伟, 白萍, 宋红梅. 2012年某市农村饮用水中微生物指标分析[J]. 环境与职业医学, 2014, 31(9): 723-725. DOI: 10.13213/j.cnki.jeom.2014.0177
FAN Wei-wei , CHEN Feng-ge , GUO Zhan-jing , ZHAO Wei , BAI Ping , SONG Hong-mei . Microbial Indicators in Drinking Water of a Rural Area, 2012[J]. Journal of Environmental and Occupational Medicine, 2014, 31(9): 723-725. DOI: 10.13213/j.cnki.jeom.2014.0177
Citation: FAN Wei-wei , CHEN Feng-ge , GUO Zhan-jing , ZHAO Wei , BAI Ping , SONG Hong-mei . Microbial Indicators in Drinking Water of a Rural Area, 2012[J]. Journal of Environmental and Occupational Medicine, 2014, 31(9): 723-725. DOI: 10.13213/j.cnki.jeom.2014.0177

2012年某市农村饮用水中微生物指标分析

Microbial Indicators in Drinking Water of a Rural Area, 2012

  • 摘要: 目的 研究河北省某市农村生活饮用水微生物污染状况及其影响因素,提出改进措施,以确保农村居民生活饮用水卫生安全和身体健康。

    方法 分别于2012 年枯水期(3-4 月)和丰水期(7-8 月),采集某市9 县(市)1 060 份水样,依据GB/T 5750-2006《生活饮用水标准检验方法》和GB 5749-2006《生活饮用水卫生标准》进行检测和评价。

    结果 水样合格率为65.8%,单项微生物指标中总大肠菌群合格率最低,为72.3%;菌落总数合格率为82.9%;耐热大肠菌群合格率为82.2%。枯水期与丰水期微生物指标合格率间存在统计学差异(χ2=17.25,P<0.01);深井水源与浅井及其他类型供水间差异有统计学意义(χ2=79.42,P<0.01);不同的地域间差异亦存在统计学意义(χ2=29.547,P<0.01)。

    结论 该市农村饮用水微生物指标受供水时期、水源类型、地域等多因素影响。农村饮水微生物污染现状应引起有关部门的高度重视,推进深井水源选址,加强丰水期净化消毒处理,以确保居民饮水安全。

     

    Abstract: Objective To evaluate the microbial contamination of drinking water in rural areas of a city in Hebei Province and related risk factors, propose improvements to reduce waterborne diseases, and protect drinking water safety and human health in rural areas.

    Methods Water samples (n=1 060) were collected from nine counties of a city in the dry season (March-April) and the wet season (July-August) of 2012. Evaluation procedures were following the Standard examination methods for drinking water (GB/T 5750-2006) and the Drinking water health standards (GB 5749-2006).

    Results The qualification rate of all water samples was 65.8%. The lowest qualification rate of all single microbial indicators was 72.3% for total coliforms. The qualification rates for total bacteria count and heat-resistant coliform bacteria were 82.9% and 82.2% respectively. There were significant differences in the qualification rates of microbial indicators between the dry season and the wet season (χ2=17.25, P<0.01), between deep-well water and shallow-well water/other types (χ2=79.42, P<0.01), and among different regions (χ2=29.547, P<0.01).

    Conclusion The microbial indicators of drinking water in rural areas of Shijiazhuang are influenced by a variety of factors such as time of water supply, type of source water, and region. Relevant departments should pay attention to control microbial contamination in drinking water by selecting deep-well water sources and strengthening water purification and disinfection in wet season to ensure drinking water safety.

     

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