摘要
通过实验室构建的实验管网,模拟了实际给水管网的水力、水质条件,对各项水质指标进行了监测和相关性分析.结果表明余氯、浊度、pH值与总铁含量相关性较高.改变水力、水质条件,根据不同条件下实验管网中总铁含量的变化情况,分析了浊度、余氯、pH值、流速与铁释放现象的相互影响机理,提出了控制铁释放的方法.监测实际给水管网的水质,量化水中总铁含量与余氯、浊度和pH值之间的关系,分别建立了基于Excel的多元线性回归模型和基于Matlab的BP人工神经网络模型,对水中总铁含量进行了预测.
A trial network was constructed in the laboratory to simulate the hydrodynamic and water quality condition of real water distribution network. Water quality indexes were monitored and correlation analysis was made. The results indicate that residual chlorine, turbidity and pH have close relation with total iron content of the water. According to the change of total iron content of the water in the trial network under different conditions, the mutual influence mechanism between iron release and residual chlorine, turbidity, and pH was analyzed and the method of iron release control was put forward. Water quality of the real water distribution network was monitored. The relationship between total iron content and residual chlorine, turbidity, and pH was described quantitatively. Two models were estabhshed to forecast total iron content of the water, which are multivariate linear regression model based on Excel and BP artificial neural network model based on Matlab.
出处
《天津大学学报》
EI
CAS
CSCD
北大核心
2008年第2期137-141,共5页
Journal of Tianjin University(Science and Technology)
基金
国家自然科学基金资助项目(50478086)
关键词
给水管网
铁释放
相关性分析
预测模型
water distribution network
iron release
correlation analysis
forecasting model
