Title: Evaluation of Clark IUH in rainfall-runoff modelling (case study: Amameh Basin)

Authors: Khalil Ghorbani; Meysam Salarijazi; Mohammad Abdolhosseini; Saeid Eslamian; Iman Ahmadianfar

Addresses: Water Engineering Department, College of Water & Soil Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan 49189-43464, Iran ' Water Engineering Department, College of Water & Soil Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan 49189-43464, Iran ' Water Engineering Department, College of Water & Soil Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan 49189-43464, Iran ' Department of Water Engineering, College of Agriculture, Isfahan University of Technology, Isfahan 8145683111, Iran ' Department of Civil Engineering, Behbahan Khatam Alanbia University of Technology, Behbahan, Iran

Abstract: The application of Clark IUH in Amameh Basin, Iran is investigated in this study. Six recorded rainfall-runoff events were selected. Calibration results showed great changes in the calibrated parameters, percentage error in peaks and volumes (PEP and PEV), and the model efficiency (EFF) while percentage error in time to peak (PTEP) had always low values. Furthermore, the simulations of falling limbs of runoff hydrographs were better than rising limbs. Validation results indicated that time to peaks, runoff volumes, and falling limbs of runoff hydrographs were much better predicted than peak discharges, rising limbs, and total shapes of runoff hydrograph. One way sensitivity analysis revealed that the storage coefficient was more sensitive than time of concentration and EFF, PEP, PETP, and PEV had highest to lowest sensitivity. It can be concluded that the estimation of time to peak and runoff volume had higher performance than runoff hydrograph shape and peak discharge.

Keywords: Clark IUH; rainfall-runoff model; sensitivity analysis; model efficiency; EFF.

DOI: 10.1504/IJHST.2019.098131

International Journal of Hydrology Science and Technology, 2019 Vol.9 No.2, pp.137 - 153

Received: 08 Feb 2016
Accepted: 17 Jun 2016
Published online: 05 Mar 2019 *

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