Title :
Pilot Study on Marine Water Quality Model Parameters´ Dynamic Inversion
Author :
Li Mingchang ; Si Qi ; Liang Shuxiu ; Sun Zhaochen
Author_Institution :
Lab. of Environ. Protection in Water Transp. Eng., Tianjin Res. Inst. of Water Transp. Eng., Tianjin, China
Abstract :
Uniform evaluation for parameter of marine water quality model resulted in the confusion of physical meaning. In this paper, a data-driven model based on artificial neural network is developed to inverse model parameters´ values in different temporal segments dynamically. A case study in the Bohai Sea and twin experiment is presented for validating dynamic inversion method. Verification results show the method is efficient for parameter inversion.
Keywords :
marine pollution; neural nets; oceanographic techniques; water quality; Bohai Sea; artificial neural network; data-driven model; dynamic inversion method; marine water quality model parameters; parameter inversion; Artificial neural networks; Biological system modeling; Computational modeling; Data models; Estimation; Numerical models; Water pollution;
Conference_Titel :
Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5088-6
DOI :
10.1109/icbbe.2011.5780766
