摘要
以抚仙湖湖体2014年7月—2015年6月污染指标的监测平均值作为原始数据,采用SPSS层次聚类分析法对不同监测点进行聚类分析,确定各监测点间的亲疏关系,并结合监测点属性等实际情况,最终将原15个监测点初步优化调整为11个监测点,获得了最优化水质监测断面。
On the basis of the original monitoring data of pollution indices in Fuxian Lake from July of 2014 to June of 2015, the hierarchical clustering algorithm method in SPSS were applied to cluster the monitoring points. The relationships of monitoring points were studied and compared. In the end, the monitoring points were optimized from 15 to 11 in terms of the properties of the points based on the method.
出处
《环境科学导刊》
2016年第1期20-25,共6页
Environmental Science Survey
关键词
监测点
SPSS
层次聚类
优化
抚仙湖
monitoring site
SPSS
hierarchical clustering algorithm
optimization
Fuxian Lake
