R型聚类对辽河不同断面水质指标相关性分析

R-Type Clustering for Correlation Analysis on Water Quality Indexes of Different Cross-Sections in Liao River

河流水质监测中许多指标常常存在着一定的相关性,通过对水质指标相关性研究,可了解水质指标间影响关系及河流污染物的特点,指导河流水污染治理,提高水质量标准。以辽河为例,采用R型聚类方法对辽河不同断面水质指标的相关性进行分析,应用DPS统计软件,通过计算机对监测数据进行运算得出相关系数矩阵和变量的分类树形图。通过分析可看出化学需氧量与五日生化需氧量、高锰酸盐指数与氨氮相关密切。文中对各种水质指标相关关系的内在关联进行深入研究,分析相关指标间的相互作用,以期达到对影响因子的全方位监测与控制,实现对辽河水污染治理及水环境监测评价的作用。

DSP statistics software was applied to the analysis of correlation of different water quality indexes in Liaohe River. Monitoring data collected in different cross--sections of the River were processed through a computer and then the relevant coefficient matrix and classification of the tree graph variables could be obtained. It could be seen that COD was closely related with BOD5 and CODMn related with NH3-N. With the purpose of the River＇s water quality monitoring and control in an all-round way, the correlation of different water quality indexes was studied and the interaction among them was analyzed.