伊通河监测网络优化研究
Study on Optimizing Monitoring Network of Yitong River
路红军 1吴锐1
作者信息
- 1. 吉林省环境科学研究院,吉林长春130012
- 折叠
摘要
采用主成分分析法对2014年伊通河32个监测断面进行污染特征分析,根据分析结果对监测断面水质污染程度进行排序,再利用SPSS软件进行聚类分析,结合监测断面网格分布具体情况,得到最优化水质监测断面.结果表明,优化后的监测网络能更准确地判断伊通河流域内各区段水质变化情况.该研究可为伊通河综合治理及水质改善提供数据支持.
Abstract
The pollution characteristics of 32 monitoring sections of Yitong River in 2014 were analyzed by using SPSS software and principal component analysis method.The degree of water pollution in the monitoring section was sorted based on the analysis results,and cluster analysis was conducted by SPSS software.According to the specific distribution of monitoring section grid,the optimal water quality monitoring section was obtained.The results showed that the optimized monitoring network can more accurately determine Yitong River Basin water quality changes in each section.The study can provide data support for the improvement of the comprehensive management of the Yitong River and water quality.
关键词
伊通河/监测断面/主成分分析/SPSS软件/聚类分析Key words
Yitong River/Monitoring section/Principal component analysis/SPSS software/Cluster analysis引用本文复制引用
基金项目
国家重大专项(2012ZX07202-001)
出版年
2017
国家科技期刊平台
NSTL
维普
万方数据