• Kyu Kyu Thin
• Dr.Win Win Zin
• Dr.Zin Mar Lar Tin San

This study was set out with aim to test the performance of SWAT hydrological model on Myitnge River Basin and to find out and set up the highly sensitive parameters for the basin. The model was auto-calibrated and validated using SWAT-CUP SUFI2 software. Nash and Sutcliffe Efficiency (NSE) and Coefficient of Determination (R2) were considered as main objective functions during calibration and validation. According to the analysis, threshold depth of water in the shallow aquifer required for return flow to occur (GWQMN.gw), Manning’s n for overland flow (OV_N. hru), Average slope steepness (HRU_SLP. hru), Manning's "n" value for the main channel (CH_N2.rte), threshold depth of water in the shallow aquifer for "revap" to occur (REVAPMN.gw), and Average slope length (SLSUBBSN. hru) were figured out to be the highly sensitive parameters. Available hydrological data from 2005 to 2013 was split into two groups for calibrating and validating parameters of the model. The year 2006 was used as warm up period. The model was calibrated at Shwesaryan station both on daily and monthly time scale. The average daily calibration showed good model response with NSE 0.74 and R2 0.8 respectively at year 2008. Also, the monthly validation showed good model fit with NSE of 0.63 and R2 0.72 from year 2005 to 2013 respectively. Principally, the implementation of SWAT model in simulating streamflow at Shwesaryan station can be rated as good and the calibrated model could be used for runoff simulation for power potential estimation and other water related work.

Myitnge, SWAT, SUFI2, NSE, R2

"Rainfall-Runoff Modelling of Myitnge River Basin using SWAT Model ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 1, page no.257-261, January-2020, Available :http://www.jetir.org/papers/JETIR2001035.pdf

"Rainfall-Runoff Modelling of Myitnge River Basin using SWAT Model ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 1, page no. pp257-261, January-2020, Available at : http://www.jetir.org/papers/JETIR2001035.pdf