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2009-2011年江苏省农村饮用水浑浊度特征及其与耗氧量、菌落总数的相关分析
引用本文:于洋,郑浩,费娟,陈晓东,丁震. 2009-2011年江苏省农村饮用水浑浊度特征及其与耗氧量、菌落总数的相关分析[J]. 江苏预防医学, 2012, 23(4): 21-23
作者姓名:于洋  郑浩  费娟  陈晓东  丁震
作者单位:江苏省疾病预防控制中心,南京,210009
基金项目:江苏省科技支撑计划(BE2011797); 江苏省卫生厅医学科研项目(H201024)
摘    要:目的分析江苏省农村饮用水浑浊度指标特征,探讨其与耗氧量、菌落总数间的关系。方法利用2009-2011年江苏省农村饮用水水质监测数据,分析饮用水浑浊度的影响因素,并用相关分析及线性回归分析浑浊度与耗氧量、菌落总数之间的关系。结果 2009-2011江苏省农村饮用水浑浊度超标率逐年下降,地表水源明显高于地下水源的(P<0.01),地表水源水中仅消毒和完全处理(即混凝、沉淀、过滤、消毒)两种方式处理后的浑浊度超标率较低;浑浊度、耗氧量、菌落总数三者间两两相关且存在线性回归关系(P<0.01)。结论水源类型、处理方式、枯丰水期均对饮用水浑浊度存在一定的影响,浑浊度指标与耗氧量、菌落总数均有紧密的联系,存在提示作用。

关 键 词:农村饮用水  浑浊度  耗氧量  菌落总数  相关分析

Description on characteristics of turbidity and correlation analysis among turbidity, oxygen consumption and bacteria count for Jiangsu rural drinking water, 2009--2011
YU Yang , ZHENG Hao , FEI Juan , CHEN Xiao-dong , DING Zhen. Description on characteristics of turbidity and correlation analysis among turbidity, oxygen consumption and bacteria count for Jiangsu rural drinking water, 2009--2011[J]. Jiangsu Journal of Preventive Medicine, 2012, 23(4): 21-23
Authors:YU Yang    ZHENG Hao    FEI Juan    CHEN Xiao-dong    DING Zhen
Affiliation:YU Yang, ZHENG Hao, FEI Juan, CHEN Xiao--dong, DING--Zhen ( Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, China)
Abstract:Objective To analyze the distribution and tendency characteristics of turbidity value and discuss the correlations among turbidity, oxygen consumption and bacteria count of Jiangsu rural drinking water. Methods Data were collected from Jiangsu rural drinking water quality monitoring database (2009-2011). And the factors that can affect the turbidity in drinking water were analyzed. Using correlation and regression analysis to reveal the relations among turbidity, oxygen consumption and bacteria count. Results From 2009 to 2011 in Jiangsu Province, the turbidity exceeding standard rate of rural drinking water was declined year by year, and groundwater was obvious lower than surface water. By comparison of the process mode of surface water source of rural drinking water, sterilization and full processing mode had lower turbidity exceeding standard rate (P〈0.01). Turbidity, oxygen consumption and bacteria count had correlations and linear regression relations. Conclusion Water source, process mode, dry/wet season could affect the turbidity exceeding standard rate. Turbidity, oxygen consumption and bacteria had correlations and linear regression relations.
Keywords:rural drinking water  turbidity  oxygen consumption  bacteria count  relative analysis
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