Investigating the Effect of Basic Flood Characteristics on Flood Routing Accuracy in Karun River Using Hydrological Routing Methods

Document Type : Research Article

Authors

1 Ph.D. Student of Water Engineering and Hydraulic Structures, Department of Civil Engineering, Faculty of Engineering, University of Zanjan, Zanjan, Iran

2 MSc. Student of Water Engineering and Hydraulic Structures, Department of Civil Engineering, Faculty of Engineering, University of Zanjan, Zanjan, Iran

3 Associate Professor, Department of Civil Engineering, Faculty of Engineering, University of Zanjan, Zanjan, Iran

Abstract

Unsteady flow analysis is performed using hydraulic and hydrological routing methods. Hydrological routing methods, while accurate, are much simpler and less expensive than hydraulic routing methods, and for flood routing calculations, only data related to hydrographs (flow changes over time) recorded at upstream and downstream hydrometric stations of the study area are needed. In the present study, the effect of the basic flood on the accuracy of flood routing in the Karun River was investigated using hydrological routing methods including linear Muskingum method, Working Values, Convex, and modified Att-Kin method. In other words, using the Particle Swarm Optimization (PSO) Algorithm and the 4 observational floods data recorded at the Mollasani (upstream) and Ahwaz (downstream) hydrometric stations of the Karun River, for each flood, separately, the linear Muskingum method parameters (X, K, ) Optimized and used to calculate the outflow hydrograph of all floods. The results show that due to the effect of rivers flooding extent on the mentioned parameters, if the range of inflow of basic flood changes is closer to the inflow of calculated flood, the accuracy of hydrological routing methods in outflow hydrograph estimation increases.

Keywords

References

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Iranian journal of Ecohydrology
Volume 7, Issue 3
October 2020
Pages 609-618

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History

  • Receive Date: 01 April 2020
  • Revise Date: 23 May 2020
  • Accept Date: 23 May 2020
  • First Publish Date: 22 September 2020
  • Publish Date: 22 September 2020

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