Title :
The Industrial Pollution Management Based on Cluster Analysis
Author :
Qingjun, Lua ; Li Yong ; Feng, Xiaa
Author_Institution :
Environ. Protection Inf. Center, Chongqing Environ. Protection Bur., Chongqing, China
Abstract :
Clustering techniques has been applied to the classification of industrial pollution source. Use the features of industrial waste water pollution sources and waste gas pollution sources to build the data model, and cluster about 30000 records of pollution sources, then assess and explain the clustering results. Build a two-dimensional classification based on waste water and waste gas according to clustering results and make customized industrial pollution management policies to improve environmental management.
Keywords :
environmental management; industrial waste; waste handling; water pollution; cluster analysis; environmental management; industrial pollution management; industrial waste water pollution sources; two-dimensional classification; waste gas pollution sources; Artificial neural networks; Atmospheric modeling; Data mining; Environmentally friendly manufacturing techniques; Industrial pollution; Synthetic aperture sonar; Clustering; Data mining; Industrial pollution source management;
Conference_Titel :
E-Business and E-Government (ICEE), 2010 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-0-7695-3997-3
DOI :
10.1109/ICEE.2010.1217
