Sensitivity Analysis of Parameters Affecting the Design Flood Using HEC- HMS Mathematical Model (Case Study: Sardasht Dam)

Document Type : Research Article

Authors

1 MS of civil engineering, Iran Water and Power Resources Development Company (IWPCO)

2 Assistant professor of Water Engineering department of Urmia University, Iran

3 PhD Candidate in Water Resources Science and Engineering, University of Tabriz and Lecturer of Department of Civil Engineering, Institute of Science and Technology

Abstract

Several factors are affecting the flood routing process, each of which has a particular weight of attenuation of flood peaks through the spillway. This paper identifies these factors and analyzes the factors affecting the sensitivity of peak discharge estimation of Sardasht dam and the effects of these factors and their sensitivity were determined through hydrograph routing from the basin and the reservoir. At the first stage, after the construction of the basin model with full elements in Hec-Hms, one available storm event with corresponding run-off, is simulated then affecting parameters in the different sub basins were calibrated. In the second stage, the probable maximum precipitation (PMP) hyetograph converted to probable maximum flood (PMF) and routed in the reservoir. At the last stage, the sensitivity of CN, amount of rainfall design, lag time of channel and lag time of basin and also flood routing of the reservoir were investigated. The results show that the design flood is most sensitive to the amount of precipitation as with 30% change in precipitation, CN and channel lag time the flooding amount changed linearly about 40%, 25%, and 8%, respectively, but with changing ±30% of basin lag time the flood peak changed non-linearly  by 5 in over estimating and 16% in the underestimating.

Keywords

References

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Iranian journal of Ecohydrology
Volume 7, Issue 4
January 2021
Pages 951-965

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History

  • Receive Date: 21 April 2020
  • Revise Date: 17 August 2020
  • Accept Date: 17 August 2020
  • First Publish Date: 01 December 2020
  • Publish Date: 21 December 2020

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