DocumentCode
3221910
Title
Application of data mining and artificial modeling for coagulant dosage of water treatment plants corresponding to water quality
Author
Bae, Hyeon ; Choi, Dae-Won ; Lee, Seng-Tai ; Kim, Yejin ; Kim, Sungshin
Author_Institution
Sch. of Electr. & Comput. Eng., Pusan Nat. Univ., Busan, South Korea
Volume
3
fYear
2004
fDate
2-6 Nov. 2004
Firstpage
2172
Abstract
Shortage of water is gradually accelerated because a high standard of living is required and water resources are rapidly run dry. Therefore, effective water treatment is necessary to retain the required quality and amount of water. The general treatment includes coagulation, flocculation, filtering, and disinfections. Coagulation, flocculation, and disinfections are major parts of the water treatment processes. In this paper, new automatic algorithm is proposed for coagulation that is one of the water treatment processes. The proposed method is showing how to determine the coagulant soil and amounts using data mining techniques.
Keywords
coagulation; data mining; environmental science computing; flocculation; water resources; water treatment; artificial modeling; coagulant dosage; data mining; disinfection; filtering; flocculation; water treatment plants; Acceleration; Application software; Automatic control; Chemical processes; Coagulation; Control systems; Data mining; Neural networks; Testing; Water resources;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics Society, 2004. IECON 2004. 30th Annual Conference of IEEE
Print_ISBN
0-7803-8730-9
Type
conf
DOI
10.1109/IECON.2004.1432134
Filename
1432134
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