Numerical study of the efficiency of dimensionless methods in determining flood status (Case study: Astaneh-Koochesfahan station, Sefidrood river)

Subject Areas : Water and Environment

Yasin Ebrahimdoust ¹ , Alireza Mardookhpour ²

1 - M.Sc. of Civil Engineering Department, Lahijan Branch, Islamic Azad Univeristy, Lahijan, Iran.
2 - استادیار گروه عمران، دانشگاه آزاد اسلامی واحد لاهیجان، لاهیجان، ایران. *(مسوول مکاتبات)

Received: 2021-03-16 Accepted : 2021-05-08 Published : 2023-11-22

Keywords: dimensionless method, flood, maximum flow, peak time, hydrograph shape, HEC-HMS software.,

Abstract :

Background and Objective: Rain is one of the most important parameters in the hydrological cycle. A large percentage of rainfall in different areas under the influence of factors such as geological structure and structure, vegetation, land slope and the shape of the basin becomes surface runoff. Floods are also the result of runoff caused by heavy rains with sudden melting of snow. In catchments, it is not possible to measure all the quantities required for runoff analysis, so it is necessary to choose a model that can easily predict the runoff from rainfall while using simple structure and minimal factors. arrives Material and Methodology: In this study, using simulation of rainfall to flood conversions in a long statistical period of about 20 years between January 23, 2000 to September 23, 2021 in the Astana-Kuchesfahan catchment with HEC-HMS software, one of the objectives The effect of selecting the type of flow conversion hydrographs on the amount of computational error in flooding was investigated. Findings: In this study, unlike the SCS method, in which the error digit as a Nash function is 0.540 and the RMSE is 0.7 as well as the deviation percentage with a digit of 28.01, for the Clark method the Nash function is The value is 0.533 and RMSE is 0.7 and also the percentage of deviation is 29.71. Also in Schneider method, Nash function is 0.477 and RMSE is 0.7 and also the percentage of deviation is 34.25. Discussion and conclusion: This calculation also confirms in terms of error measurement that one of the best criteria for observing the difference can not be RMSE. By performing the validation step, the amount of initial error on the set was significantly reduced. This value reached 0.595 during the long 20-year period for the Nash function. Also, for all the elements in the model, the flow volume and discharge at the moment of the peak event improved significantly. The correctness of the model in the calibration step to reduce the error confirms that selecting one type of hydrograph for the range does not necessarily lead to a significant reduction in the simulation error. However, the converted hydrograph type is significantly effective in reducing the calibration error.

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