Title :
Research on Optimization of Water Quality Monitoring Sites Using Principal Component Analysis and Cluster Analysis
Author :
Yongqian, Cheng ; Qianwu, Song ; Hongmei, Ma
Author_Institution :
Chinese Res. Acad. of Environ. Sci., Beijing, China
Abstract :
The layout of water quality monitoring sites of Changzhou could be optimized for the purpose of reducing the associated expense. Based on the monitoring data during the year of 2001-2004, principal component analysis (PCA) and cluster analysis (CA) were combined to be applied for the optimization of monitoring sites. Main results showed that three PCs contributed to the cumulative variance greater than 85% and 16 water quality monitoring sites of Changzhou could be classified in 7 clusters. It was concluded that PCA and CAhad a great potential for the management of water quality monitoring systems. This method can be applied to monitoring sites optimizing design of air, soil and noise environment.
Keywords :
principal component analysis; quality management; water quality; CAhad; Changzhou water quality management monitoring site layout; air environment; cluster analysis; noise environment; optimization; principal component analysis; soil environment; Computers; Decision support systems; Distributed control; Monitoring; Cluster Analysis; Optimization; Principal Components Analysis; Water Quality Monitoring;
Conference_Titel :
Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM), 2011 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-61284-278-3
Electronic_ISBN :
978-0-7695-4350-5
DOI :
10.1109/CDCIEM.2011.75
