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管网在线-人工监测系统余氯预测Logistic回归模型
引用本文:田一梅,秦琦,王杨. 管网在线-人工监测系统余氯预测Logistic回归模型[J]. 深圳大学学报(理工版), 2007, 24(2): 200-205
作者姓名:田一梅  秦琦  王杨
作者单位:天津大学环境科学与工程学院,天津,300072
基金项目:国家科技攻关计划;天津市科委资助项目
摘    要:根据国内管网水质监测现状,对南方某城市供水管网多项水质指标进行检测,选择余氯为预测指标,以在线监测水质指标为影响变量,建立在线-人工监测系统的Logistic回归模型,对管网末梢余氯达标与否进行概率预测.经实例验证,预测结果达到了较高的准确度,可通过少量在线监测点预测并了解整个管网水质状况.

关 键 词:供水管网  余氯  Logistic回归  在线-人工监测  预测模型
文章编号:1000-2618(2007)02-0200-06
修稿时间:2006-09-12

Residual chlorine prediction logistic regression model of online-manual monitoring in water distribution systems
TIAN Yi-mei,QIN Qi,WANG Yang. Residual chlorine prediction logistic regression model of online-manual monitoring in water distribution systems[J]. Journal of Shenzhen University(Science &engineering), 2007, 24(2): 200-205
Authors:TIAN Yi-mei  QIN Qi  WANG Yang
Affiliation:School of Environment Science and Engineering Tianjin University Tianjin 300072 P. R. China
Abstract:According to the domestic actuality of the water quality monitoring,detecting and analyzing of some water quality indexes of water supply networks in a city of south China,residual chlorine is selected as the forecasting index. And logistic regression model of online-manual monitoring system is established with on-line monitoring data selected as effect variance. So whether the water quality is eligible can be forecasted. Result shows that the model can forecast water quality with high precision. The problem of forecasting and controlling water quality with fewer monitoring points can be solved.
Keywords:water distribution systems  residual chlorine  logistic regression  online-manual monitoring  forcasting model
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