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008 201111s2018 th u m rtt 000 a eng d
035 _a.b12297549
099 9 _aAIT Caps. Proj. no.CIE-18-28
100 0 _aNay Lin Htet
245 1 0 _aCalibration and validation of Soil and Water Assessment Tool (SWAT) model in the Bheri River Basin of Nepal
260 _aPathum Thani :
_bAsian Institute of Technology,
_c2018
300 _a35 leaves :
_bill. (some col.) +
_e1 online resource
490 1 _aCaps. Proj. ;
_vno. CIE-18-28
500 _aA capstone project report submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Engineering Civil and Infrastructure Engineering
502 _aCapstone Project (B.Sc.)-Asian Institute of Technology, 2018
520 _aIntegration of hydrological models in management of watersheds resources are gaining pop- ularity among researchers in the recent years. The Soil and Water Assessment Tool (SWAT) is a model developed by the United State Department of Agriculture to predict the impact of land management practices on hydrology, sediment and contaminant transport in large, complex catchment. Many researchers around the globe have already applied SWAT in hy- drological simulation at different time scales to investigate watershed quality. In this research, SWAT model is applied in the simulation of Bheri River Basin, Nepal. SWAT Calibration and Uncertainty Program (SWAT-CUP) is used for calibration, validation and sensitivity analysis. The simulation is done for both daily and monthly time steps to evaluate the SWAT effectiveness. The calibration period is from 1999 to 2006 with 4-year skip period (1995-1998) and the validation is done from 2007 to 2013. The statistical results show that the performance of the SWAT model for Bheri River Basin is quite good, having the NSE value of 0.77 and R2 value of 0.87 for daily calibration and 0.62 and 0.67 for daily validation respectively. Monthly values are better (NS=0.86, R2=0.87) for calibration and (NS=0.71, R2-0.71) for validation respectively. Comparing the daily and monthly values reveals that SWAT is better at long term simulations with large watershed areas. Baseflow alpha factor for bank storage (ALPHA~NK) is found to be the most sensitive parameter while the deep aquifer percolation factor (RCHRGJ)P) was the least sensitive. The annual precipitation is 756.1 mm and the basins highest water yield rate is found to be during the period between June and September.
650 0 _aRunoff
_zNepal
_zBheri River Basin
650 0 _aHydrology
_zNepal
_zBheri River Basin
700 1 _aShrestha, Sangam,
_eChairperson
700 0 _aDuc Hoang Nguyen,
_eExamination committee
810 2 _aAsian Institute of Technology.
_tCaps. Proj. ;
_vno. CIE-18-28
856 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B13626
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