松花江省界缓冲区水质监测断面类别分析

Classification analysis of water quality monitoring section in buffer zone of provincial boundaries of Songhuajiang basin

利用K-均值聚类分析,得出松花江流域省界缓冲区水质监测断面所属类别,将51个水质监测断面划分为7类,并对每类中的监测断面进行优化分析。根据松花江流域省界缓冲区,原来51个监测断面的自然地理位置等自然属性和监测指标优选原则,将监测断面优选为39个,精简了12个断面,减小了监测工作量,节约了监测费用。

The K-means cluster analysis is used to identify the category of the water quality monitoring section in buffer zone of provincial boundaries of Songhuajiang basin. The analysis results show that the 51 water quality monitoring sections are divided into 7 categories and the optimization analysis is made for the monitoring sections of each category. Based on the natural attributes including the nature geographical location and the optimization principle of monitor index, the former 51 monitor sections are reduced to 39 in buffer zone of provincial boundaries of Songhuajiang, the 12 sections are streamlined, which could reduce the monitoring workload and save the monitoring costs.