DocumentCode :
2984064
Title :
Water Quality Model Calibration of Water Distribution Network Using Parallel FmGA Algorithm
Author :
Shu Shihu ; Liu Suiqing ; Zhang Dong
Author_Institution :
Sch. of Environ. Sci. & Eng., Tongji Univ., Shanghai, China
fYear :
2010
fDate :
25-27 June 2010
Firstpage :
5801
Lastpage :
5804
Abstract :
A new water quality model calibration method using pfmGA (parallel fast messy genetic algorithm )was presented by adopting parallel mechanism of fmGA (fast messy genetic algorithm )in allusion to the disadvantage that traditional calibration method lies on experience, waste time and fmGA can be only adopted in small scale water distribution system. It deals with calibration of the model, gives general method for calibrating and analyses the results for the model. Optimal model parameters and simulation results were obtained by adjusting parameters in a reasonable scope and comparing results and field data automatically. The model could now be used as a tool to control the water quality of the network but it still need to have real-time precise information about all the network quality, and the development of these tools should be carried on.
Keywords :
calibration; genetic algorithms; parallel algorithms; water quality; water supply; optimal model parameter; parallel fast messy genetic algorithm; water distribution network; water quality control; water quality model calibration; Calibration; Computational modeling; Medical services; Optimization; Simulation; Solid modeling; Water resources; model calibration; pfmGA; water distribution network; water quality model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6880-5
Type :
conf
DOI :
10.1109/iCECE.2010.1410
Filename :
5630087
Link To Document :
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