Brief Report Parameter estimation for Muskingum routing model based on robust algorithm

doi:10.7523/j.issn.2095-6134.2010.4.018

›› 2010, Vol. 27 ›› Issue (4): 556-562.DOI: 10.7523/j.issn.2095-6134.2010.4.018

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Brief Report Parameter estimation for Muskingum routing model based on robust algorithm

ZHAO Chao^1,2

1. Water Resources and Environmental Institute, Xiamen University of Technology, Xiamen 361005, China;
2. State Key Laboratory of Marine Environmental Science, Environmental Science Research Center, Xiamen University, Xiamen 361005, China

Received:2009-06-30 Revised:2010-02-03 Online: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) 

Abstract

Abstract:

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

CLC Number:

P338

ZHAO Chao. Brief Report Parameter estimation for Muskingum routing model based on robust algorithm[J]. , 2010, 27(4): 556-562.

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Brief Report Parameter estimation for Muskingum routing model based on robust algorithm

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