The Muskingum flood routing model using a neuro-fuzzy approach

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16 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 languageEnglish
Pages (from-to)371-376
Number of pages6
JournalKSCE Journal of Civil Engineering
Volume13
Issue number5
DOIs
Publication statusPublished - 2009 Jul

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering

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