River Flow Forecasting using Fuzzy Inference System

Document Type : Original Article

Authors

1 M.Sc. Water Structures, Tarbiat Modares University, Tehran, Iran

2 Associ. Professor of Water Resources department, Tarbiat Modares University, Tehran, Iran.

3 M.Sc., Environment and Water Research Center, Ministry of Energy, Tehran, Iran

Abstract

The Fuzzy Sets Theory has recently been widely and successfully used in engineering problems with complexity, ambiguity, or lack of enough data. The Fuzzy Inference System (FIS) is among these techniques. The main advantage of this technique over traditional methods is that it works based on IF-THEN rules and appoints the relation between input and output variables accordingly. In this study the monthly discharge, temperature, and rainfall are used in the  Fuzzy Inference System context as continuous series in order to forecast the river flow discharge for the next months. The effect of each variable in previous time step is determined on the flow discharge in the upcoming month and the best combination and suitable lag time is obtained. 

Keywords

References

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Iran-Water Resources Research
Volume 4, Issue 2
June 2008
Pages 23-34

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History

  • Receive Date: 11 September 2006
  • Accept Date: 09 November 2008

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