Inversion of Dispersion Coefficient in Water Quality Model Using Optimal Perturbation Algorithm

NIE Hong-tao; TAO Jian-hua

doi:10.3879/j.issn.1000-0887.2009.06.004

Volume 30 Issue 6

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NIE Hong-tao, TAO Jian-hua. Inversion of Dispersion Coefficient in Water Quality Model Using Optimal Perturbation Algorithm[J]. Applied Mathematics and Mechanics, 2009, 30(6): 655-662. doi: 10.3879/j.issn.1000-0887.2009.06.004

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Inversion of Dispersion Coefficient in Water Quality Model Using Optimal Perturbation Algorithm

doi: 10.3879/j.issn.1000-0887.2009.06.004

Department of Mechanics, Tianjin University, Tianjin 300072, P. R. China

Received Date: 2009-04-01
Rev Recd Date: 2009-04-10
Publish Date: 2009-06-15

Abstract

Abstract

As one of the primary parameters in the water quality model for shallow bay,the dispersion coefficient is traditionally determined by trial and error method with time consuming and more experience.Based on the measured data of chemical oxygen demand (COD),the dispersion coefficient was calculated using inversion method.In this process,the regularization method was applied to treat the ill-posedness,and the operator identification perturbation method was used to obtain the solution.By running the model with the inverted dispersion coefficient,the distribution of COD,inorganic nitrogen (IN) and inorganic phosphorus (IP) in Bohai bay were predicted respectively and compared with the measured data.The results indicate that this method is feasible and the inverted dispersion coefficient can be used to predict other pollutant distribution.Moreover,this method may also be further extended to the inversion of other parameters in water quality model.
- water quality model,
- dispersion coefficient,
- inversion,
- regularization,
- Bohai bay

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References(20)

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