Volume 8, Issue 1, March 2020, Page: 7-18
Evaluation of the Performance of SWAT Model to Simulate Stream Flow of Mojo River Watershed: In the Upper Awash River Basin, in Ethiopia
Ahmednasir Amin, Institute of Technology, Oda Bultum University, Chiro, Ethiopia
Nade Nuru, Institute of Technology, Oda Bultum University, Chiro, Ethiopia
Received: Jun. 8, 2020;       Accepted: Jun. 28, 2020;       Published: Aug. 10, 2020
DOI: 10.11648/j.hyd.20200801.12      View  85      Downloads  41
The assessment of the accessibility of water in the basin and significance setting of its use is essential before planning for the expansion and development of additional sectors which poses pressure on water availability. The main purpose of this study was to evaluate the performance of SWAT model to simulate stream flow of Mojo River. The performance evaluation of the model was to obtain the water balances was conducted. In this study both secondary and primary data were used. The SWAT model was used for data analysis. In this study for stream flow yield simulation the parameters involving surface runoff (CN2.mgt) and ground water (ALPHA_BNK.rte was found to be the most sensitive parameters. A good agreement between observed and simulated discharge were observed, which was verified using both graphical technique and quantitative statistics. The value of R2=0.80, NSE=0.75, RSR=0.5 and PBIAS=-10.6 obtained during calibration and R2 value 0.76, NSE value 0.69, RSR value 0.56 and PBIAS -14.4 obtained during validation as well as the uniformly scatter points along the 1:1 line during calibration and validation justify that the model is very good in simulating observed steam flow. From the results the total annual surface water available yields is estimated around 0.401Billion Cubic Meters (BCM).
Simulate Streamflow, Performance of SWAT Model, Mojo River Watershed
To cite this article
Ahmednasir Amin, Nade Nuru, Evaluation of the Performance of SWAT Model to Simulate Stream Flow of Mojo River Watershed: In the Upper Awash River Basin, in Ethiopia, Hydrology. Vol. 8, No. 1, 2020, pp. 7-18. doi: 10.11648/j.hyd.20200801.12
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