Evaluation of KINEROS2 Model for Simulating Flood Hydrograph. Case study: Ziarat Watershed

Subject Areas : Soil & Water Erosion Modeling

issa Mollaifar ¹ , Vahedberdi Sheikh ² , Abdolreza Bahremand ³ , Hasan Faramarzi ⁴

1 - Department of Watershed Management, University of Agricultural Sciences and Natural Resources, Gorgan, Iran.
2 - Department of Rangeland and Watershed Management, Gorgan University of Agricultural Sciences and Natural Resources, Iran.
3 - Department of Rangeland and Watershed Management, Gorgan University of Agricultural Sciences and Natural Resources, Iran
4 - College of Natural Resources, Tarbiat Modares University, Noor, Iran,

Received: 2018-05-29 Accepted : 2018-10-30 Published : 2018-11-22

Keywords: Flood, Watershed, KINEROS2 model,

Abstract :

The Kinematic runoff and erosion model, KINEROS2, is an event-oriented, physically-based model to describe the processes of interception, infiltration, surface runoff and erosion from watersheds.DEM, land use, soil type and precipitation are main input data required for this model. Time scale of the KINEROS2 model is capable of simulating the flood hydrograph on a time minute. For evaluation of KINEROS2 Model, 8 rainfall-runoff flood events in the Ziarat watershed were selected. The events have been divided into two sets. The first set was used to run and calibrate the model and the second set was used to validate the model results. One factor at time (OAT) method has been used to carry out sensitivity analysis. The Saturated hydraulic conductivity, Manning roughness coefficient, mean capillary drive and interception depth have been chosen for manual calibration of the model. Various evaluation criteria including Nash-Sutcliffe, percent error in peak, aggregated Measure, coefficient of determination r2 and weighed coefficient of determination r2 were used to evaluate the model results. Results showed that the Nash-Sutcliffe efficiency is 0.665 for calibration period and 0.797 for validation period. The KINEROS2 model estimates the hydrological parameters with good accuracy in the study area.

References:

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