Abstract
To use conceptual (mathematical) models of catchment hydrology, it is first necessary to know the values of the parameters that control the behavior of the model. This has usually been done by fitting the model subjectively to actual data. Automatic optimization methods programmed for high-speed digital computers were used to fit a model objectively to given catchment data. A simple model incorporating the types of component used in more realistic models was used to test nine different optimization methods. A brief description of how each optimization method works has been given. By using synthetic error-free data, test problems with known solutions were constructed. Of the nine methods tested, a modified version of the deterministic rotating coordinate method of Rosenbrock was found to be the most effective for fitting the test model.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
