Evaluation of Parameter Characteristics of a Storage Function Model
Publication: Journal of Hydrologic Engineering
Volume 19, Issue 2
Abstract
Applying a lumped runoff model in ungauged basins requires the relationships between the parameter characteristics of a model with watershed characteristics. The authors of this study designed various methods to evaluate the parameter characteristics of the storage function model using the kinematic wave model. They applied genetic algorithms to 101 observed events at 17 dam basins in Korea. The results confirmed that there is a limit to developing an empirical equation for parameter estimation on the basis of observed data. As part of the measures taken to overcome the limit, a runoff simulation was implemented that considered 35,000 various conditions by configuring virtual basins, and the parameter of the storage function model was evaluated based on the results. Hence, the authors discovered that a lag time of the storage function method is primarily determined to be closely connected with the characteristics of the longest stream, and the storage coefficient has high relevancy with the basic characteristics.
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Acknowledgments
This study was supported financially by the Construction Technology Innovation Program (08-Tech-Inovation-F01) through the Research Center of Flood Defense Technology for Next Generation in Korea Institute of Construction & Transportation Technology Evaluation and Planning (KICTEP) of Ministry of Land, Transport and Maritime Affairs (MLTM).
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Information & Authors
Information
Published In
Journal of Hydrologic Engineering
Volume 19 • Issue 2 • February 2014
Pages: 308 - 318
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Sep 20, 2011
Accepted: Jun 27, 2012
Published online: Aug 7, 2012
Discussion open until: Jan 7, 2013
Published in print: Feb 1, 2014
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