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ARTICLE IN Volume 16, 2021 - Number 1

A COMPARATIVE ASSESSMENT OF DIFFERENT LOSS METHODS AVAILABLE IN MIKE HYDRO RIVER-UHM



Carina STRAPAZAN1*, Ionel HAIDU2 & Ioan Aurel IRIMUS1
1Babeş-Bolyai University, Faculty of Geography, 5-7, Clinicilor Street, 400006, Cluj-Napoca, Romania, *Corresponding author, e-mail: carinastrapazan@yahoo.ro; irimus@geografie.ubbcluj.ro
2University of Lorraine, Laboratory LOTERR - EA 7304, Ile du Saulcy, 57045 Metz, France, e-mail: ionel.haidu@univ-lorraine.fr


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Abstract

Hydrologic modelling studies usually involve data series with a large temporal scale, especially in Romania, focusing on a long-term impact analysis. Nevertheless, event-based runoff models are essential tools for short-term purposes such as flash flood forecasting. Suitable methods or models must be considered in order to ensure the validity of such research based on parameter calibration to a particular area. Therefore, a comparative analysis of methods must be conducted first, in order to determine the optimal ones that can be used for future data prediction. The aim of the present study is to apply and validate the MIKE HYDRO River modeling system - the UHM module, through a comparative analysis of the SCS, Generalized SCS and Proportional Loss methods available, to a small-sized mountainous watershed, where no research has been conducted in this field. To this end, three spring rainfall events were chosen, but with different antecedent moisture conditions, in order to examine how well the chosen methods can reproduce the available observations in such circumstances. The SCS method yielded the highest quality performance, but the Proportional Loss method has also proven effective under these conditions.

Keywords:

  • Mike
  • Hydro
  • River
  • Surface
  • runoff
  • SCS
  • method
  • Proportional
  • Loss
  • Small
  • basin

How to cite

A COMPARATIVE ASSESSMENT OF DIFFERENT LOSS METHODS AVAILABLE IN MIKE HYDRO RIVER-UHM, Carpathian Journal of Earth and Environmental Sciences, February 2021, Vol. 16, No. 1, p. 261 – 273; DOI:10.26471/cjees/2021/016/172

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