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机构地区:[1]天津大学环境科学与工程学院,天津300072
出 处:《天津工业大学学报》2003年第6期34-36,共3页Journal of Tiangong University
摘 要:针对饮用水余氯监测数据的滞后性问题,运用多元线性回归模型,建立了管网末梢的余氯浓度和加氯量等5个自变量之间的线性关系,通过数据分析软件SAS对华北某新区配水管网2002年9月至2002年12月共4个月的监测数据进行了回归分析,并对2003年4月的余氯浓度进行预测.预测结果基本符合实际情况,可以根据此模型来确定加氯量,预测管网末梢的余氯.Because of the residence time of water in distribution pipelines, data that reflect residual chlorine concentrations for a given applied dose are only available after a certain time delay. Consequently, applied chlorine doses that are too high or too low are often identified too late for an operator′s reaction.A linear relationship is established between the residual chlorine at the end of pipe network and five independent variables such as chlorine doses with the application of multivariate linear regression model. A regression analysis is made based on four months′ data of distribution system in a district of the North China with the software of SAS. And the residual chlorine concentrations of April 2003 were forecasted, which was basically consistent with the actual situation. The results show that through this model the chlorine dosage can be determined and the residual chlorine can be forecasted.
分 类 号:TU991.25[建筑科学—市政工程] O212.1[理学—概率论与数理统计]
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