title: Parameter identification of river water quality models using a genetic algorithm.
abstract: For solving the multi-parameter identification problem of a river water quality model, analytical methods for solving a river water quality model and traditional optimization algorithms are very difficult to implement. A new parameter identification model based on a genetic algorithm (GA) coupled with finite difference method (FDM) was constructed for the determination of hydraulic and water quality parameters such as the longitudinal dispersion coefficient, the pollutant degradation coefficient, velocity, etc. In this model, GA is improved to promote convergence speed by adding the elite replacement operator after the mutation operator, and FDM is applied for unsteady flows. Moreover the influence of observation noise on identified parameters was discussed for the given model. The method was validated by two numerical cases (in steady and unsteady flows respectively) and one practical application. The computational results indicated that the model could give good identification precision results and showed good anti-noise abilities for water quality models when the noise level ≤10%.
authors.affiliation: Key Laboratory of Integrated Regulation and Resource Development on Shallow Lake of Ministry of Education, College of Environment, Hohai University, Nanjing 210098, China E-mail: Zulinhua@hhu.edu.cn; National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Hohai University, Nanjing 210098, China.
authors.forename: Xiaodong
authors.initials: X
authors.lastname: Liu
authors.affiliation: Key Laboratory of Integrated Regulation and Resource Development on Shallow Lake of Ministry of Education, College of Environment, Hohai University, Nanjing 210098, China E-mail: Zulinhua@hhu.edu.cn.
authors.forename: Yuanyuan
authors.initials: Y
authors.lastname: Zhou
authors.affiliation: Key Laboratory of Integrated Regulation and Resource Development on Shallow Lake of Ministry of Education, College of Environment, Hohai University, Nanjing 210098, China E-mail: Zulinhua@hhu.edu.cn; National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Hohai University, Nanjing 210098, China.
authors.forename: Zulin
authors.initials: Z
authors.lastname: Hua
authors.affiliation: Key Laboratory of Integrated Regulation and Resource Development on Shallow Lake of Ministry of Education, College of Environment, Hohai University, Nanjing 210098, China E-mail: Zulinhua@hhu.edu.cn.
authors.forename: Kejian
authors.initials: K
authors.lastname: Chu
authors.affiliation: Key Laboratory of Integrated Regulation and Resource Development on Shallow Lake of Ministry of Education, College of Environment, Hohai University, Nanjing 210098, China E-mail: Zulinhua@hhu.edu.cn.
authors.forename: Peng
authors.initials: P
authors.lastname: Wang
authors.affiliation: Key Laboratory of Integrated Regulation and Resource Development on Shallow Lake of Ministry of Education, College of Environment, Hohai University, Nanjing 210098, China E-mail: Zulinhua@hhu.edu.cn; National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Hohai University, Nanjing 210098, China.
authors.forename: Li
authors.initials: L
authors.lastname: Gu
authors.affiliation: Key Laboratory of Integrated Regulation and Resource Development on Shallow Lake of Ministry of Education, College of Environment, Hohai University, Nanjing 210098, China E-mail: Zulinhua@hhu.edu.cn.
authors.forename: Liqiang
authors.initials: L
authors.lastname: Chen
mesh_terms: D000465:Algorithms; D004784:Environmental Monitoring / Q000379:methods; D008962:Models, Theoretical; D045483:Rivers / Q000737:chemistry*; D014874:Water Pollutants, Chemical / Q000737:chemistry*; D014876:Water Pollution / Q000032:analysis*; D014881:Water Supply
chemical_list: D014874:Water Pollutants, Chemical