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Brief Report Parameter estimation for Muskingum routing model based on robust algorithm
Received date: 2009-06-30
Revised date: 2010-02-03
Online published: 2010-07-15
Supported by
Supported by the National Natural Science Foundation (50909084),the Natural Science Foundation of Fujian Province(2009J05107),and Xiamen University of Technology (YKJ08015R)
There are a variety of techniques for estimating the parameters of the Muskingum routing model. However the robustness of these methods has to be questioned because of the tendency of outliers in data to strongly influence the outcome. A robust estimation has been presented. The robustness of this estimator has been compared with the least squares method by means of synthetic data sets, in which both Gaussian random errors and outliers have been introduced. The study demonstrates that the robust estimator has the potential to reduce estimation bias in the presence of outliers, and it has an advantage over the least squares method.
Key words： Muskingum model; outlier; parameter estimation; robustness
ZHAO Chao . Brief Report Parameter estimation for Muskingum routing model based on robust algorithm[J]. Journal of University of Chinese Academy of Sciences, 2010 , 27(4) : 556 -562 . DOI: 10.7523/j.issn.2095-6134.2010.4.018
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