灰色关联属性识别模型在给水管网水质分析中的应用

目的 应用灰色关联属性识别模型分析给水管网水质,为改善水质提供理论依据.方法 把给水管网认为是一个灰色系统,采用灰色理论中关联度理论,建立水质属性识别模型,将水质级别作为一个灰类,将水质状态作为灰色变量处理,根据灰色关联分析理论来确定水质归类,对北方某市城市管网中3个有代表性监测点(监测点1、3位于管网末端,水质略差;监测点2的管段铺设年代较早,管龄长,管材为无内衬的灰铸铁管,腐蚀严重,属于管网中水质恶劣区域)的水样中14个水质因子进行计算,并对水质进行分析和评价.结果 得出各个监测点的关联度矩阵,结果表明,监测点1、3的水质同属于1级,监测点2的水质属于2级.结论 采用灰色关联方法识别管网水质属性,具有更加合理、直观、可靠的特点,处理信息大,去除了人为的主观因素对评价结果的影响,与实际情况一致,具有较大的实际意义.

Water Quality Evaluation of Water Supply Network Using Attribute Recognition Model Based on Grey Relation

Objective In order to analyse the problem that eligible water from factory will deteriorate during the transportation in the water supply networks. The aim of the present paper is to provide theoretic basis to ameliorate the water quality and make drinking water more secure. Methods Regarding water supply networks as a grey system, applying grey relational analysis to establish the attribution recognition model. The classification of water quality was treated as a grey sort and the state of water quality was a grey system. Water quality classified rank was determined and the water quality was analyzed according to the grey relation analysis theory. Results Three monitoring spots in north networks which included fourteen water quality gene was calculated. The relation degree matrix was educed. The result showed that the water quality of the first and the third monitoring spots belonged to grade one, and the second spot belonged to grade two. Conclusion Applying attribute recognition model based on the grey relation to analyze the water quality in the water supply networks, the case study shows that the grey relational analysis method is more reasonable, simple, reliable and informative. The effect of subjective factors is eliminated. The accuracy of model is verified by the experimental data in the end. There is a good agreement between the calculated result and actual condition.