Title :
Research on water quality comprehensive evaluation of water supply network using SOM
Author :
Wu, Wenyan ; Chang, Kui ; Gao, Jinliang ; Zhang, Min ; Li, Nana ; Yuan, Yixing
Author_Institution :
Eng. & Technol., Staffordshire Univ., Stafford
Abstract :
Water quality comprehensive evaluation of water supply network was present in this paper. It is on the basis of microcosmic model in water supply network. The water quality indicators, by which the states of water quality are expressed, are selected as the input vector for the comprehensive evaluation model. The self-organizing feature map (SOM) and k-means arithmetic are adopted in the model. Since there are some problems using single indicator grade evaluation method, thus a comprehensive water quality evaluation method is proposed in this paper. The objective water quality evaluation model of water supply network is developed. In comparison to the single-evaluation indicator, both the single water quality monitoring data and the overall data are all considered in the model using SOM, which reflect the water quality distribution in the water supply network objectively.
Keywords :
pattern recognition; self-organising feature maps; water quality; water supply; k-means arithmetic; self-organizing feature map; water quality comprehensive evaluation; water supply network; Algorithm design and analysis; Clustering algorithms; Clustering methods; Computational modeling; Computer networks; Information analysis; Neural networks; Neurons; Performance analysis; System performance; K-mean algorithm; Self-organizing Map (SOM); Water quality evaluation indicator; Water supply network;
Conference_Titel :
Networking, Sensing and Control, 2009. ICNSC '09. International Conference on
Conference_Location :
Okayama
Print_ISBN :
978-1-4244-3491-6
Electronic_ISBN :
978-1-4244-3492-3
DOI :
10.1109/ICNSC.2009.4919365
