Application of Improved Genetic Algorithm in Determination of Parameters of S-P Water Quality Model

2012 ◽  
Vol 610-613 ◽  
pp. 1705-1709
Author(s):  
Bing Xiang Liu ◽  
Xiao Liang Lai ◽  
Qun Cao ◽  
Xiang Cheng
Keyword(s):  
Genetic Algorithm ◽  
Water Quality ◽  
Water Quality Model ◽  
Parameters Estimation ◽  
Improved Genetic Algorithm ◽  
Quality Model ◽  
Important Work ◽  
Determination Of Parameters ◽  
Very High

Determination of parameters is an important work for establishing the water quality model to perform the mathematical simulation. In this paper, the improved genetic algorithm is applied in evaluation of the parameters of S-P water quality model. This method has overcome the shortages of parameters estimation as before. The computed results have indicated this method with a very high precision and easy realized by the computer.

scholarly journals Calibration of water quality model for distribution networks using genetic algorithm, particle swarm optimization, and hybrid methods

MethodsX ◽  
2019 ◽  
Vol 6 ◽  
pp. 540-548 ◽  
Author(s):  
Roya Peirovi Minaee ◽  
Mojtaba Afsharnia ◽  
Alireza Moghaddam ◽  
Ali Asghar Ebrahimi ◽  
Mohsen Askarishahi ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Water Quality ◽  
Particle Swarm Optimization ◽  
Hybrid Methods ◽  
Particle Swarm ◽  
Distribution Networks ◽  
Water Quality Model ◽  
Quality Model ◽  
Swarm Optimization

Optical water quality model of Lake Ontario 1: Determination of the optical cross sections of organic and inorganic particulates in Lake Ontario

1981 ◽  
Vol 20 (9) ◽  
pp. 1696 ◽  
Author(s):  
R. P. Bukata ◽  
J. H. Jerome ◽  
J. E. Bruton ◽  
S. C. Jain ◽  
H. H. Zwick
Keyword(s):  
Water Quality ◽  
Cross Sections ◽  
Lake Ontario ◽  
Water Quality Model ◽  
Quality Model
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