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基于统计学方法的南方某市管网水水质特征研究
作者姓名:程郅涵  靳军涛  张金松
作者单位:哈尔滨工业大学(深圳);深圳市水务(集团)有限公司
基金项目:水体污染控制与治理科技重大专项“城镇供水系统运行管理关键技术评估与标准化”(2017ZX07501002)
摘    要:为综合解析南方某市管网末梢水水质的时空变化特征、识别主要响应指标及指标间相关性,以该市近4年供水管网末梢水水质监测数据为研究对象,利用主成分分析法和对应分析法对管网末梢水质进行了特征研究。主成分分析法评价结果表明:该市管网末梢水年度总体水质存在差异,其中以2016年为最佳;夏秋季节更易发生水质异常现象,5~9月应加强管网末梢水水质管控;区域上看已完成深度处理改造的梅林水厂供水覆盖区管网末梢水水质最优,南山水厂供水覆盖区管网末梢水水质最差;水质指标硫酸盐、氯化物、硬度之间,Fe、浊度、总氯之间具有相对其他水质指标更高的相关性。对应分析法结果表明:管网末梢水水质主要响应指标可重点关注Fe、浊度、耗氧量、总氯和硫酸盐;其中Fe、浊度、耗氧量呈正相关性强,上述指标与硫酸盐、总氯呈负相关性。

关 键 词:管网末梢水  水质  主成分分析  对应分析

Water Quality Analysis of Pipe Network Based on Statistical Methods
Authors:CHENG Zhihan  JIN Juntao  ZHANG Jinsong
Institution:(Harbin Institute of Technology(Shenzhen),Shenzhen 518055,China;Shenzhen Water Affairs(Group)Co.Ltd,Shenzhen 518031,China)
Abstract::In order to reflect the spatial-temporal characteristics of water quality in pipeline distribution system in a southern city,and to identify the main response indicators and the correlation between indicators,principal component analysis method and correspondence analysis were used to assess and explicate water quality with detection values of peripheral water in recent four years. The results of principal component analysis method indicates that pipe network peripheral water quality is annual different,with best water quality in2016;it is inclined to have abnormal water quality in summer and autumn,so the peripheral water quality control should be strengthened between May and September;the water quality of Merlin water plant,which has been converted to high quality drinking water,was the best and the water quality of Nanshan water plant was the worst;There is a higher correlation among sulfate,chloride and hardness than other water quality indicators. The same is true for Fe,turbidity,and total chlorine. The results of correspondence analysis indicates that the main response indicators are Fe,turbidity,oxygen consumption,total chlorine and sulfate. Among them,Fe,turbidity and oxygen consumption are positively correlated,which have negative correlations with sulfate and total chlorine.
Keywords:Pipe network peripheral water  Water quality analysis  Principal component analysis  correspondence analysis
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