Parameter Estimation for Muskingum Models
Publication: Journal of Irrigation and Drainage Engineering
Volume 130, Issue 2
Abstract
A methodology for parameter estimation for the Muskingum model of streamflow routing is developed. The methodology minimizes the outflow prediction errors subject to the satisfaction of the streamflow-routing equations for all time stages in the routing process. The routing equations incorporate the Muskingum channel storage models. An algorithm is developed for parameter estimation that iteratively solves the governing equations to identify the Muskingum model parameters.
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Information & Authors
Information
Published In
Journal of Irrigation and Drainage Engineering
Volume 130 • Issue 2 • April 2004
Pages: 140 - 147
Copyright
Copyright © 2004 American Society of Civil Engineers.
History
Received: Jan 25, 2002
Accepted: Apr 23, 2003
Published online: Mar 15, 2004
Published in print: Apr 2004
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