Simulation of Rainfall-Runoff process using SWAT model in Bouhamdane watershed, Algeria-Reference-Cited by-同舟云学术

Simulation of Rainfall-Runoff process using SWAT model in Bouhamdane watershed, Algeria

Published:2023 Issue:2 Volume:103 Page:279-292
ISSN:0350-3593
Container-title:Glasnik Srpskog geografskog drustva
language:en
Short-container-title:B SERBIAN GEOGRAPHIC

Author:

Abdelkebir Brahim¹,Guesri Mourad²,Mokhtari Elhadj³,Engel Bernard⁴

Affiliation:

1. Laboratoire de génie civil et d’hydraulique, Université mai, Guelma, Guelma, Algeria + Laboratory of Water, Environment and Renewable Energies, Faculty of Technology, University of M’sila, Ichebilia, M’sila, Algeria

2. Research Laboratory Valorisation of Water Resources “V.R.E”, Tlemcen University, Tlemcen, Algeria

3. Laboratory of Water, Environment and Renewable Energies, Faculty of Technology, University of M’sila, Ichebilia, M’sila, Algeria

4. Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, USA

Abstract

The current research examines the runoff response in the Bouhamdane watershed in Algeria using the soil and water assessment tool (SWAT). The SWAT model is applied for the Bouhamane watershed, which includes three sub-watersheds and 45 Hydraulic Response Units (HRUs). To assess the ability and effectiveness of the model, one-gauge station in the basin (sabat) was chosen. Monthly discharge flow data are sourced from Algeria's National Water Resources Agency (NWRA). The soil and water assessment tool calibration uncertainty programs (SWAT-CUPs) with the sequential uncertainty fitting (SUFI 2) algorithm were used to calibrate and validate the model. The model was run from 1985 to 2004, with a calibration period between 1985 and 1994 and a validation period between 1995 and 2005. The model's runoff simulation efficiency has been improved by adjusting watershed input parameters. The SWAT model's performance was assessed statistically (coefficient of determination [R2], Nash-Sutcliffe Efficiency Coefficient [NSE], and Percent BIAS [PBIAS]). The monthly calibration R2, NSE, and PBIAS were 0.89, 0.68, and 43, respectively, and the monthly validation R2, NSE, and PBIAS were 0.78, 0.76, and 10.4, respectively. These results support that the SWAT model is an effective tool for simulating the surface runoff of the Bouhamdane watershed.

Publisher

National Library of Serbia

Subject

Atmospheric Science,Geology,Education,Geography, Planning and Development,Global and Planetary Change

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