By Topic

An Optimistic Calibration Numerical Method for Water Quality Model Parameters with COD

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Mingchang Li ; Lab. of Environ. Protection in Water Transp. Eng., Tianjin Res. Inst. of Water Transp. Eng., Tianjin, China ; Bin Zhou ; Shuxiu Liang ; Zhaochen Sun

Marine water quality model is complicated because of its multi-parameter and multi-response characteristic. In this paper, a new method based on data-driven model (DDM) is developed to retrieve the value of model parameters for model calibration. All training data are calculated by numerical water quality model from results of multi-parameter matching design cases. The basic idea is to find out the relationship between model parameters and the pollution concentration values of interior stations. Filed data is imported into the relationship for inversing optimal parameter. Case tests are carried out in Bohai Sea, China. Chemical oxygen demand (COD), and its sensitive parameters are considered for validating the present method. Case studies show that the present method can make a more satisfactory estimation for a practical problem.

Published in:

Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on

Date of Conference:

18-20 June 2010