The Muskingum flood routing model using a neuro-fuzzy approach

Hone Jay Chu

doi:10.1007/s12205-009-0371-6

The Muskingum flood routing model using a neuro-fuzzy approach

Hone Jay Chu

Department of Geomatics

Research output: Contribution to journal › Article › peer-review

23 Citations (Scopus)

Abstract

The study presents the combined application of Fuzzy Inference System (FIS) and Muskingum model in flood routing. The rules of FIS are incorporated with the Muskingum formula and the model is called the Muskingum FIS model in the study. The proposed model estimates the outflow by applying a Network-based Fuzzy Inference System (ANFIS), which is a FIS implemented in the adaptive network framework. Simulation results indicate that the proposed scheme is an advisable approach for the flood routing. Case study is presented to demonstrate that the FIS is an alternative in application of the Muskingum model.

Original language	English
Pages (from-to)	371-376
Number of pages	6
Journal	KSCE Journal of Civil Engineering
Volume	13
Issue number	5
DOIs	https://doi.org/10.1007/s12205-009-0371-6
Publication status	Published - 2009 Jul

All Science Journal Classification (ASJC) codes

Civil and Structural Engineering

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10.1007/s12205-009-0371-6

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abstract = "The study presents the combined application of Fuzzy Inference System (FIS) and Muskingum model in flood routing. The rules of FIS are incorporated with the Muskingum formula and the model is called the Muskingum FIS model in the study. The proposed model estimates the outflow by applying a Network-based Fuzzy Inference System (ANFIS), which is a FIS implemented in the adaptive network framework. Simulation results indicate that the proposed scheme is an advisable approach for the flood routing. Case study is presented to demonstrate that the FIS is an alternative in application of the Muskingum model.",

author = "Chu, {Hone Jay}",

note = "Funding Information: The authors would like to thank the anonymous reviewers, helpers and my family. The authors would like to thank the National Science Council of the Republic of China, Taiwan, for financially supporting this research under Contract No. NSC-96-2415-H-002-022-MY3.",

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N2 - The study presents the combined application of Fuzzy Inference System (FIS) and Muskingum model in flood routing. The rules of FIS are incorporated with the Muskingum formula and the model is called the Muskingum FIS model in the study. The proposed model estimates the outflow by applying a Network-based Fuzzy Inference System (ANFIS), which is a FIS implemented in the adaptive network framework. Simulation results indicate that the proposed scheme is an advisable approach for the flood routing. Case study is presented to demonstrate that the FIS is an alternative in application of the Muskingum model.

AB - The study presents the combined application of Fuzzy Inference System (FIS) and Muskingum model in flood routing. The rules of FIS are incorporated with the Muskingum formula and the model is called the Muskingum FIS model in the study. The proposed model estimates the outflow by applying a Network-based Fuzzy Inference System (ANFIS), which is a FIS implemented in the adaptive network framework. Simulation results indicate that the proposed scheme is an advisable approach for the flood routing. Case study is presented to demonstrate that the FIS is an alternative in application of the Muskingum model.

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The Muskingum flood routing model using a neuro-fuzzy approach

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