基于地下水多变量空间聚类分析的变异性评价

在现存地下水监测网站中,观测站点分布的任意性、随意性和层次不清以及观测数据的冗余性等问题普遍存在,应用空间聚类原理,对所选研究区域廊坊地下水的监测点位及监测指标分别进行了空间聚类分析,对原始数据和经聚类处理后的数据分别进行了空间变异性评价,结果显示空间聚类分析是有效合理的。试图将空间变异性和空间聚类方法结合起来,为环境监测点的重新布置提供了理论依据,使提高监测效率与监测点的代表性、优化监测网格成为了可能;了解监测指标及监测点位在空间上的相关程度,为环境监测指标的确定提供理论依据,进而为环境管理、污染物控制以及环境资源的综合利用提供基础依据。

Spatial Variability Assessment Based on Spatial Cluster Analysis of Groundwater Variables

There are lots of problems in the implantation of monitoring points,such as the randomness and turbid hierarchical structure of the monitoring points、the redundancy of the monitoring data and so on.Applying the spatial cluster principles,the authors make cluster analysis on the monitoring points and the monitoring indicators of chose in Langfang region.The assessment and contrast of the variability of the original data and the transacted data by cluster analysis are done,which proves that the cluster analysis is reasonable and valid.Combing spatial clustering analysis with spatial variety may provide the theoretical evidence for the re-implantation of the monitoring net,and the possibility to improve the representativeness of the monitoring net.It also provides the theoretical principles to confirm the monitoring indicators by figuring out the correlation between the monitoring points and the monitoring indicators,and then to establish the foundation for the further research of environmental management,pollution controlling and comprehensive utilization of environmental resource.