DocumentCode :
691958
Title :
Designing and Accomplishing a Multiple Water Quality Monitoring System Based on SVM
Author :
Zihan Pang ; Kebin Jia
Author_Institution :
Coll. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing, China
fYear :
2013
fDate :
16-18 Oct. 2013
Firstpage :
121
Lastpage :
124
Abstract :
Along with the fast development of economy, the rational allocation of water resources has become one of the prerequisites which ensure the sustainable development of a country. Building a water quality surveillance and evaluation mechanism serving for managing regional water environment and addressing sudden contamination accident is of great importance. Based on the monitoring data on water quality, a multiple water quality monitoring system based on SVM is designed and accomplished. It established a corresponding water quality evaluation model by using the Gauss Radial Basis Function, and through offline studies of samples to guarantee the effectiveness and timeliness of this system. Besides the corresponding water quality classifying categories and instance interface are also figured out in the paper. This system has been successfully applied in the Central Line Project of South-to-North Water Diversion project, and according to the results the system is stable, effective and safety.
Keywords :
Gaussian processes; contamination; environmental management; environmental monitoring (geophysics); environmental science computing; pattern classification; radial basis function networks; support vector machines; sustainable development; water quality; water resources; Central Line Project; Gauss radial basis function; SVM; South-to-North Water Diversion project; instance interface; monitoring data; multiple water quality monitoring system; rational water resource allocation; regional water environment management; sudden contamination accident; sustainable development; water quality classification; water quality surveillance and evaluation mechanism; Classification algorithms; Monitoring; Real-time systems; Support vector machines; Water conservation; Water pollution; Water resources; Evaluation model; SVM; Water quality classification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing, 2013 Ninth International Conference on
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/IIH-MSP.2013.39
Filename :
6846595
Link To Document :
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